A corpus-based critical discourse analysis of identity construction in CSR reports of China and USA new energy vehicle companies: A case of BYD and Tesla

A corpus-based critical discourse analysis of identity construction in CSR reports of China and USA new energy vehicle companies: A case of BYD and Tesla | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article A corpus-based critical discourse analysis of identity construction in CSR reports of China and USA new energy vehicle companies: A case of BYD and Tesla Ling Gan, Yuan Yao This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7347669/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The study presents a corpus-based analysis on the corporate social responsibility(CSR) reports of BYD and Tesla from 2019 to 2023. It explores the two companies’ identity construction based on Fairclough’s three-dimensional model, considering discursive strategies and socio-economic policies. The study shows that in the textual dimension, BYD constructs itself as a compliant and rigorous manager, while Tesla highlights itself to be an innovator and environmentalist. In the discursive practice dimension, BYD adopts third person and passive voices to stress its role as an objective industry contributor. Conversely, Tesla often uses the first person to actively portray itself as a tech innovation leader and convey its mission in sustainable energy. In the social practice dimension, BYD focuses on its policy-oriented scaled economy and responsiveness to national policies, taking on its manufacturing giant’s responsibility. Tesla, in contrast, centring on a light-asset model and brand premium, builds a high-end global brand image and strengthens its identity as a technology pioneer. The identity construction strategies of BYD and Tesla reveal their unique corporate culture and reflect the differences in development patterns and social values between Chinese and Western enterprises. These strategies offer insights into the global growth of the new energy vehicle industry. Business and commerce/Business and management Social science/Business and management Physical sciences/Mathematics and computing corporate social responsibility reports corporate identity corpus-based analysis critical discourse analysis new energy vehicle BYD Tesla Figures Figure 1 Figure 2 Figure 3 Figure 4 Introduction Corporate Social Responsibility (CSR) reports, which transparently disclose companies’ social and environmental impacts and serve as crucial communication tools between companies and stakeholders, typically cover activities and achievements in the economic, environmental, and social realms (Aiezza, 2015 ). They demonstrate how companies pursue economic benefits while actively fulfilling their social and environmental responsibilities. Along with increasing attention from consumers, investors, and regulators, CSR reports have become important vehicles for companies to showcase their social responsibility and construct their identity discourse (Li, 2022 ). Research has shown that there is a positive relationship between the identity discourse of a company and its financial performance as well as a favourable position in market competition (Michaels & Grüning, 2018 ). Therefore, companies are motivated to construct an identity through CSR reports to favour their stakeholders (e.g., consumers, customers, investors). In the context of globalisation, new energy vehicle (NEV) companies, as vital forces for sustainable development, have significant impacts not only on their own brand image and market competitiveness but also on public perception and stakeholders’ decision-making (Fuoli, 2017 ). Tesla and BYD, as globally renowned electric vehicle manufacturers and representatives of the leading levels of NEV development in the USA and China respectively, are not only closely watched for their technological innovation and market performance but also widely discussed for their CSR practices and achievements (Hu, 2023 ). Therefore, studying the identity construction in the CSR reports of these two companies holds important practical significance. It can offer insights into how companies present themselves to stakeholders, enhancing brand image and reputation. This can also help companies improve their social responsibility strategies, making them more effective and aligned with societal expectations. Against this background, this study aims to analyse and compare the CSR reports of Tesla and BYD based on Fairclough’s three-dimensional discourse model (1993) to explore the strategies and characteristics of identity construction discourse. It seeks to reveal how companies from different cultural backgrounds construct their identities through CSR reports, and how the discursive strategies reflect their market positioning and strategic choices. This can provide new perspectives for understanding corporate cultural dissemination and image formation in the context of globalisation, offering valuable references for interdisciplinary studies. Literature Review Corporate identity construction Initially emerging from anthropology and psychology (Li, 2022 ), identity studies have been extended to the institutional domain along with the proliferation of various social institutions. Scholars widely recognise that institutions themselves possess distinct identities (Coupland & Brown, 2004 ; Wagner & Pedersen, 2014 ). As a specific branch of institutional identity, corporate identity has been empirically linked to enhancing organisational performance (Simões et al., 2005 ). It critically shapes stakeholder perceptions of the organisation and significantly influences corporate image and reputation, factors demonstrably crucial for competitiveness and profitability (Vella & Melewar, 2008 ). The discursive turn within identity studies (Bucholtz & Hall, 2010 ) has spurred growing scholarly interest in examining corporate identity construction through the lens of social constructionism (De Fina et al., 2006 ; Kroskrity, 1999 ). This perspective conceptualises identity not as fixed, pre-given, or unidirectional, but as dynamically, actively, and interactively constructed (Benwell & Stokoe, 2006 ). As social constructionism permeates corporate identity research, scholars have progressively refined this topic’s conceptual boundaries. For example, Feng ( 2017 ) adopted an integrated sociolinguistic research approach, encompassing thematic analysis, interactional analysis, and in-depth interviews to propose a novel dialogic framework for corporate identity construction. Tourky et al. ( 2020 ) extended the conceptualisation of corporate identity developing a validated measurement scale through a multi-stage research design and providing the first empirical validation of corporate identity as a second-order hierarchical construct. Later, the trend in corporate identity construction research has shifted towards combining with social responsibilities such as environmental protection and innovation (Fosu et al., 2024 ), as well as with specific companies or industries (Laksana et al., 2025 ). A significant body of research analyses textual discourse within business genres—such as corporate profiles, annual reports, CEO letters, and CSR reports—to investigate identity construction (Fuoli, 2017 ; Li, 2022 ; Lu et al., 2025 ; Wu et al., 2023 ). These studies have analysed and interpreted various corporate texts through diverse linguistic strategies at the textual level and uncovered how companies construct their identities in these texts. They have revealed that discursive strategies (e.g., stance expressions, interactional metadiscourse, rhetoric strategies) actively shaped various corporate identities. These studies have deepened the academic community’s understanding of the inter-constructive relationship between corporate discourse and identity. Critical Discourse Analysis (CDA) has emerged as a prominent interdisciplinary methodology in this field. CDA conceptualises discourse as an integral part of social organisation and process (Fowler, 1979), systematically imbued with meaning and value by social institutions (Kress, 1979 ). CDA research on corporate identity primarily examines the interplay between linguistic choices, power relations, social structures and values, and ideologies. For example, Li ( 2022 ) demonstrated how Starbucks’ CSR reports construct identities such as “supportive caretaker” for partners and “CSR-conscious selector” for suppliers. However, this analysis revealed how these seemingly benevolent identities mask underlying capitalist ideologies and corporate agendas, illustrating power dominance and unequal relations embedded within the reports. Geng et al. ( 2022 ) also discovered that cross-cultural differences (e.g., collective vs. individual interest) existed behind the different discursive strategies of corporate identity construction between Chinese and American enterprises. Despite these contributions, existing research shows significant gaps. Firstly, studies often focus heavily on textual-level analysis, revealing meanings and metaphors within texts, but insufficiently integrate discursive practices with the broader macro socio-economic environment. Secondly, while corporate identity discourse has been examined in sectors like high-tech, finance, energy, and pharmaceuticals (e.g., Geng et al., 2022 ; Li, 2022 ; Lu et al., 2025 ; Wang et al., 2024 ), the New Energy Vehicle (NEV) industry has received less attention. As an emerging key development area for the country, research on corporate identity construction within the NEV industry is particularly vital for understanding corporate internationalisation and supporting the “going global” strategy of companies within this domain. Tesla and BYD CSR reports As the global transition toward carbon neutrality accelerates, the NEV industry has become central to climate policy and corporate sustainability narratives. NEV firms increasingly integrate ESG (Environmental, Social, and Governance) factors into strategic narratives to differentiate themselves in a competitive market (Fan & Wang, 2025 ). Drawing on stakeholder theory (Freeman et al., 2010 ), legitimacy theory (Deegan, 2002 ), and institutional theory (Campbell, 2007 ), companies like Tesla and BYD use CSR disclosures to address demands from investors, governments, and civil society. These disclosures also reflect adaptation to regulatory frameworks like the EU Taxonomy and China’s “Dual Carbon Goals”(European Commission, 2020 ; Zheng & Feng, 2025 ). Tesla and BYD, as two leading global manufacturers, adopt distinct strategic approaches in constructing their sustainability narratives and emphasise key themes such as value creation, innovation, impact management, and long-term performance (Ogrean & Herciu, 2022 ). For example, Tesla employs a mission-driven CSR strategy centred on its brand identity, emphasizing climate action, emissions reduction, and investor communication (Ogrean & Herciu, 2022 ). Its ESG performance shows an upward trend, aligning with a performance-focused narrative. The company builds a positive image through EVs and renewable energy, solidifying leadership in the low-carbon transition and enhancing reputation (Fan & Zhao, 2024 ). It prioritises localised production, renewable energy use, and transparent carbon disclosure (Vig et al., 2022 ). It also cultivates loyalty and regulatory support via a strong green mission, highlighting the strategic role of environmental responsibility. Operational innovations like factory redesign and 4680 battery cells support this strategy (Vig et al., 2022 ). However, critiques note Tesla lacks an explicit zero-emission commitment and detailed regional emissions data, recommending standardised frameworks for better comparability and tracking accuracy (Vig et al., 2022 ). BYD’s CSR strategy prioritises alignment with Chinese national policies (e.g., “Made in China 2025”, “Dual Carbon Goals”), framing technology-led growth and environmental responsibility as patriotic duties (Ogrean & Herciu, 2022 ; Yazici, 2025 ). Reflecting China’s state-driven approach, its reports emphasise green manufacturing and social stability (Shou & Li, 2024 ) and societal progress over shareholder activism. For instance, Zhang ( 2024 ) recognises BYD’s practices as a valuable reference for Chinese NEV firms with global significance. However, its ESG disclosures suffer from selective reporting, insufficient content, lack of supporting data/visuals, and simplistic methods, requiring improvement (Zhang, 2024 ). In sum, Tesla’s CSR discourse foregrounds brand vision and investor trust, while BYD emphasises policy compliance and innovation-driven sustainability. These divergent CSR strategies reflect broader institutional and cultural frameworks within which each company operates, offering a comparative lens for understanding how CSR reporting serves as a tool for international identity construction in the NEV industry. These contrasts underscore that CSR reports are not only tools of accountability, but also culturally embedded texts that reflect different priorities, audiences, and visions of sustainability within the global NEV industry. Research Methodology Fairclough’s three-dimensional framework Fairclough ( 1992 ) proposed a three-dimensional discourse analysis model to uncover language’s ideological aspects. The model is an important theoretical framework in the field of CDA. Its development has evolved from being based on systemic functional linguistics to gradually incorporating dimensions of social practice and ideology (Fairclough, 1992 ). Agreeing with Foucault’s ( 1994 ) statement that power and language are inseparable: language is where power resides, Fairclough ( 2003 ) combined this power-discourse theory and systemic functional grammar with Bakhtin’s dialogism (1981). He deemed ideology, discourse, and power as CDA’s key factors, with discourse as a significant social symbol in practice. Fairclough’s CDA model includes three dimensions: texts, discursive practice and social practice. Texts, the products of discursive practice, focus on vocabulary, grammar, coherence, and semantic domains. Discursive practice involves text production, distribution, and consumption, linking text analysis to social practice. The analysis of discourse in social practice places it within ideological and power structures. Texts and discursive practices are shaped by specific social conditions and in turn construct society. Fairclough ( 2013 ) believed discourse is not just linguistic expression but also a form of social practice. His critical discourse analysis critically synthesises linguistic and sociological theories. Analysing the three dimensions of text, discursive practice, and social practice can comprehensively reveal language use in socio-cultural contexts and underlying power and ideological relationships. The three-dimensional analysis model has also been utilised in corporate identity construction research, examining how companies construct their identities through texts, discourse practices, and social practices (Lestari & Fitri, 2021 ). Data collection and analysis This study selects the CSR reports of BYD and Tesla as linguistic data, sourced from the official websites of the companies, covering the period from 2019 to 2023(a period of rapid development with regional differences in the NEV industry). The comparability of the reports from these two companies is justified as follows: As the leading companies in NEV industry, BYD and Tesla share two features: (1) their sales revenue has qualified them in the list of Fortune Global 500 companies; (2) their products have entered the global market and have global appeal. In this study, five reports were downloaded respectively from each company’s official website. ABBYY FineReader PDF 15 software was employed to convert the PDF format of the reports into TXT format and also used for data cleaning. During the process, all the irrelevant information, such as serial numbers, page numbers, images, insignificant numbers and charts, was removed from the CSR reports to prevent any interference with the textual content. The five reports from each company were then aggregated to construct two separate corpora: the BYD Corpus (BC) and the Tesla Corpus (TC). After the selection, the texts of the reports were uploaded into the Wmatrix to construct a self-built corpus for this study (see Table 1 ). The filtered corpus consists of a total of 10 report texts, with the effective corpus amounting to 202,525 words. The average length of each report is approximately 20,252 words. Table 1 CSR Corpus Corpus BC TC Number of Texts 5 5 Total Words 100523 102002 Lemma Types 9186 10980 A newly launched Wmatrix 7 was utilised for data analysis. As a software for corpus analysis and comparison, Wmatrix provides a web interface to natural language processing tools such as the USAS and CLAWS corpus annotation tools for English, plus the multilingual semantic tagger PyMUSAS. It also embraces standard corpus linguistic methodologies such as frequency lists, keyness statistics, n-grams, collocations and concordances, extending the keywords to key grammatical categories and semantic domains. After the data collection and the corpus construction and cleaning, the corpus in TXT format was uploaded to Wmatrix. The two corpora were analysed using word frequency statistics, collocation analysis, and the unique semantic domain analysis function of Wmatrix. Findings generated from the analysis are detailed as follows. Finding Distribution of high-frequency words The distribution of high-frequency words was visualised using word clouds. When the BYD corpus and the Tesla corpus were respectively used as the main corpora for research, British English 2021 was used as the reference corpus to generate the word clouds. This approach allowed the identification of high-frequency words that significantly differ from the reference corpus in the main corpus (Gries, 2021 ). Figure 1 illustrates the high-frequency lexical choices within BYD’s discourse, prominently featuring terms such as “distributor”, “company”, “regulation”, “law management”, and “system”. The recurrent use of “regulation” and “law management” demonstrates BYD’s institutional commitment to regulatory compliance and systematic governance, constructing an identity as a legally accountable corporate entity. Concurrently, terms like “company” and “distributor” underscore BYD’s established industrial position and supply chain influence, reinforcing its authoritative contribution to the NEV sector and enhancing brand credibility. Furthermore, the emphasis on “system” signifies BYD’s structured approach to technological innovation and organisational advancement, suggesting a capacity for integrated R&D that may appeal to consumers who prioritise technical sophistication in product selection. Figure 2 reveals prominent lexical patterns in Tesla’s discourse, characterised by high-frequency terms such as “emissions”, “data”, “battery”, “energy”, and “supply”. The strategic emphasis on “emissions” and “energy” underscores Tesla’s commitment to reducing carbon footprints and advancing sustainable energy solutions. This discursive alignment with contemporary environmental concerns strategically positions Tesla as an ecological pioneer. Concurrently, terms like “battery” and “data” signify Tesla’s technological leadership in core domains—electric vehicle innovation, energy storage systems, and data-driven operations—suggesting potential appeal to technology-oriented consumers seeking high-performance solutions. Furthermore, the recurrent use of “supply” showcases Tesla’s emphasis on supply chain efficiency and transparency, enhancing consumer confidence in product reliability and systemic stability. Frequency counting of words To control variables and observe the different word frequencies in the two corpora, the BE21 corpus was consistently used as the reference corpus for analysis. Tables 2 and 3 present the word frequency analysis for BC and TC. The column labelled “Item” denotes the specific lexical unit under analysis. “01” represents the absolute frequency (raw count) of a given word within the target corpus (e.g., BYD reports), while “1%” indicates its relative frequency (expressed as a percentage of the total words in that corpus). Similarly, “02” specifies the absolute frequency of the word within the reference corpus, and “2%” represents its corresponding relative frequency. The “log-likelihood” (LL) statistic quantifies the statistical significance of differences in word distribution between the corpora, that is, higher absolute values denote greater significance. The “logratio” measures the degree of preference or avoidance for a word in the target corpus relative to the reference corpus, where positive values indicate preferential usage and negative values indicate avoidance. Table 2 The Word Frequency of BC Item 01 1% 02 2% LL LogRatio byd 1505 1.5 2 0+ 7737.35 13.16 management 608 0.6 151 0.01+ 2404.37 5.62 employees 359 0.36 43 0+ 1586.17 6.67 quality 391 0.39 153 0.01+ 1395.69 4.96 company 393 0.39 171 0.01+ 1363.19 4.81 energy 355 0.35 152 0.01+ 1236.9 4.83 system 360 0.36 312 0.03+ 979 3.82 suppliers 189 0.19 7 0+ 916.16 8.36 vehicles 219 0.22 41 0+ 910.12 6.03 safety 264 0.26 147 0.01+ 849.7 4.45 development 265 0.26 193 0.02+ 774.55 4.07 product 204 0.2 72 0.01+ 747.39 5.11 regulations 182 0.18 37 0+ 746.21 5.91 service 275 0.27 259 0.02+ 720.31 3.7 2022 181 0.18 45 0+ 715.63 5.62 china 197 0.2 93 0.01+ 667.51 4.69 procurement 142 0.14 9 0+ 666.09 7.59 customer 183 0.18 72 0.01+ 652.3 4.96 responsibility 172 0.17 56 0+ 642.33 5.23 people 112 0.11 0 0+ 578.05 11.42 Table 3 The Word Frequency of TC Item 01 1% 02 2% LL LogRatio tesla 842 0.83 2 0+ 4295.11 12.31 our 1632 1.6 1772 0.14+ 3948.81 3.47 emissions 539 0.53 61 0+ 2382.58 6.73 energy 489 0.48 152 0.01+ 1832.67 5.27 vehicle 390 0.38 34 0+ 1770.97 7.11 vehicles 296 0.29 41 0+ 1276.73 6.44 u.s. 230 0.23 6 0+ 1125.91 8.85 manufacturing 240 0.24 23 0+ 1079.86 6.97 battery 235 0.23 23 0+ 1055.11 6.94 supply 271 0.27 92 0.01+ 995.08 5.15 suppliers 205 0.2 7 0+ 992.11 8.46 we 1077 1.06 3797 0.31+ 987.77 1.77 ghg 183 0.18 0 0+ 939.55 12.1 chain 221 0.22 42 0+ 910.36 5.98 model 278 0.27 161 0.01+ 875.99 4.38 employees 209 0.2 43 0+ 849.64 5.87 safety 262 0.26 147 0.01+ 834.41 4.42 gigafactory 156 0.15 0 0+ 800.93 11.87 solar 160 0.16 18 0+ 707.74 6.74 products 194 0.19 84 0.01+ 668.79 4.8 Tables 2 and 3 reveal significant commonalities in the discursive strategies of the two companies. First, reflecting industry consensus, both companies prioritise technological infrastructure, with high-frequency terms like “vehicle(s)” and “energy,” which signify core attributes of the new energy vehicle industry. Supply chain responsibility further constitutes a shared emphasis, with “suppliers” prominently featured in both corpora, underscoring the industry’s heavy reliance on upstream suppliers. Second, with respect to ESG Framework alignment, both companies address environmental and social dimensions central to CSR reports. While BYD foregrounds “energy”, Tesla emphasises “emissions” and “GHG” (greenhouse gases), collectively demonstrating divergent approaches to carbon footprints management. Third, regarding social dimension, they both pay attention to “employees” and “safety,” which reflects the labour-intensive nature of the manufacturing industry. The differences between the two companies’ CRS reports are equally significant, mainly reflected in their strategic positioning. BYD’s discourse is oriented towards localised operations, with salient terms like “China”, “regulations” and “procurement” highlighting its embeddedness within domestic regulatory frameworks and government relations. These lexical profile positions BYD as an integral component of China’s manufacturing ecosystem. Simultaneously, BYD places great emphasis on systematic management through terms such as “management”, “system” and “quality”, forming a matrix-like narrative that underscores organisational stability—a hallmark of manufacturing enterprises. In contrast, Tesla constructs a global technological brand identity. Terms such as “Gigafactory”, “battery”, and “solar” project an image of technological pioneer, while proprietary nouns reinforce perceptions of innovation exclusivity. Tesla also accentuates supply chain vertical integration, with high-frequency references to “supply chain” and “manufacturing”, underlining its closed-loop control from battery production to vehicle assembly. Collocation of keywords In this section, we will select high-frequency words common to both corpora and conduct collocation analysis for these words within each corpus to explore word associations and recurrence. Table 4 and Table 5 present the collocate frequency in BYD and Tesla corpus respectively. The two tables show that “energy” (the most frequent word in both BC and TC), the word with the highest log-likelihood, can be selected for analysis. In Tables 4 and 5 , “Word” is the core word for analysis, and “Collocate” refers to the words that collocate with the node word. L3-L1 indicates the number of times the collocate appears at positions 3, 2, and 1 to the left of the node word, while R1-R3 shows the frequency at positions 1, 2, and 3 to the right. “Total” is the overall collocation frequency within the five positions (L3-R3). “Word Freq” is the total occurrences of the node word (energy) in the corpus, and “Collocate Freq” is the same for the collocate (new). Mutual Information (MI) measures the association strength between the node and collocate words, and Log-Likelihood Ratio (LL2) tests the statistical significance of their collocation. The selection of analytical metrics aligns with our research objectives. Mutual Information (MI) effectively captures non-linear semantic relationships within lexical patterns, while Log-Likelihood Ratio (LL2) robustly quantifies statistical significance in large-scale corpora. Given that our goal is to identify lexemes exhibiting statistically marked frequency differentials between the Tesla and BYD corpora and to examine semantic associations and thematic recurrences, LL2 is optimally suited for comparative frequency analysis, whereas MI appropriately elucidates thematic networks through collocational strength. Table 4 BC Collocate Frequency Word Collocate L3 L2 L1 R1 R2 R3 Total Word Freq Collocate Freq MI LL2 new energy 2 3 0 142 0 1 148 317 355 7.047 1234.356 energy new 1 0 142 0 3 2 148 355 317 7.047 1223.76 storage energy 13 0 70 0 1 4 88 86 355 8.179 982.716 energy storage 4 1 0 70 0 13 88 355 86 8.179 846.083 vehicles energy 0 15 61 0 3 6 85 219 355 6.78 668.231 energy vehicles 6 3 0 61 15 0 85 355 219 6.78 652.315 energy of 18 66 16 0 9 2 111 355 3267 3.266 335.74 of energy 2 9 0 16 66 18 111 3267 355 3.266 306.737 renewable energy 0 1 0 23 0 0 24 24 355 8.145 271.009 consumption energy 2 2 26 0 0 1 31 62 355 7.145 264.323 energy consumption 1 0 0 26 2 2 31 355 62 7.145 248.268 energy and 6 14 18 13 29 22 102 355 4432 2.704 233.795 energy renewable 0 0 23 0 1 0 24 355 24 8.145 224.828 and energy 22 29 13 18 14 6 102 4432 355 2.704 211.379 solar energy 0 0 0 12 2 7 21 35 355 7.409 190.121 energy solar 7 2 12 0 0 0 21 355 35 7.409 175.178 energy energy 9 6 1 1 6 9 32 355 355 4.674 148.598 products energy 0 11 8 0 4 1 24 148 355 5.521 140.688 energy products 1 4 0 8 11 0 24 355 148 5.521 138.325 vehicle energy 0 1 17 0 1 0 19 115 355 5.548 112.137 Table 5 TC Collocate Frequency Word Collocate L3 L2 L1 R1 R2 R3 Total Word Freq Collocate Freq MI LL2 storage energy 13 0 54 0 1 0 68 111 489 6.998 578.506 energy storage 0 1 0 54 0 13 68 489 111 6.998 534.494 renewable energy 6 0 0 46 0 2 54 75 489 7.231 488.02 energy renewable 2 0 46 0 0 6 54 489 75 7.231 440.119 sustainable energy 1 1 0 54 0 1 57 133 489 6.482 427.881 energy sustainable 1 0 54 0 1 1 57 489 133 6.482 406.258 generation energy 1 0 28 0 3 4 36 78 489 6.589 277.242 energy and 6 18 35 18 27 10 114 489 3298 2.85 275.99 consumption energy 4 0 30 0 0 3 37 89 489 6.438 274.848 products energy 0 17 26 0 1 0 44 194 489 5.564 263.666 energy generation 4 3 0 28 0 1 36 489 78 6.589 260.249 energy consumption 3 0 0 30 0 4 37 489 89 6.438 259.899 energy products 0 1 0 26 17 0 44 489 194 5.564 257.169 and energy 10 27 18 35 18 6 114 3298 489 2.85 257.005 energy of 16 21 42 1 11 1 92 489 2490 2.946 229.886 of energy 1 11 1 42 21 16 92 2490 489 2.946 218.242 solar energy 5 2 0 13 5 8 33 160 489 5.427 190.823 efficiency energy 1 0 23 0 2 0 26 67 489 6.339 188.599 energy to 18 41 2 7 17 2 87 489 2857 2.667 187.014 energy solar 8 5 13 0 2 5 33 489 160 5.427 185.984 Our analysis reveals fundamental differences in the conceptual positioning of the two companies. BYD employs an application-driven strategy that closely integrates transportation with energy systems (see Table 4 ). This is evidenced by the significantly high log-likelihood value (LL2 = 668.2) for its “vehicles + energy” collocation compared to Tesla. This highlights not only BYD’s core identity as a NEV manufacturer but also its alignment with China’s national NEV policy. Additionally, BYD’s fixed collocation “new + energy” (MI = 7.047) perpetuates the “new and old kinetic energy conversion” discourse prevalent in Chinese industrial policy, reflecting its orientation toward incremental innovation. In contrast, Tesla pursues a strategy of energy system reconstruction, focusing on energy production through collocations like “generation + energy” (MI = 6.589) and “solar + energy” (MI = 5.427) (see Table 5 ). Thes constructs emphasise a closed-loop ecosystem encompassing photovoltaics, energy storage, and electricity consumption. Tesla also constructs a technologically infused vision of sustainability through the exclusive collocation “sustainable + energy” (MI = 6.482), framing itself as a catalyst for zero-carbon transformation. A second difference emerges in grammatical preferences. BYD tends to use compound noun structures(e.g., symmetrical “energy storage” and “storage energy”, both MI = 8.179) (see Table 4 ). This structure demonstrates BYD’s standardisation in technical terminology and its expertise in energy storage technology. Tesla, in contrast, employs dynamic process-oriented language, with collocations like “energy generation” (MI = 6.589) and “energy consumption” (MI = 6.438) to articulate an integrated energy flow value chain from production to usage (see Table 5 ). This grammatical strategy highlights Tesla’s technical proficiency in energy management and systemic control. Despite the aforementioned differences, key commonalities exist in the two companies’ CSR reports. First, both companies prioritise energy storage technology, evidenced by the robust “storage + energy” collocation (BYD MI = 8.179 ,Tesla MI = 6.998), confirming power batteries as a technological frontier in the electric vehicle industry. Second, both demonstrate significant demand for energy efficiency management, reflected in the strong “consumption + energy” association (BYD MI = 7.145, Tesla MI = 6.438). This shared demand signals the industry’s technical response to energy performance challenges and underscores substantial R&D investments aimed at enhancing user experience and market competitiveness. Semantic domains of topics The USAS (UCREL Semantic Annotation System) semantic domain classification system used by Wmatrix comprises 21 primary semantic domains, which are further divided into 232 sub-domains. By comparing the log-likelihood values of different semantic domains, we can determine which types of words are used more frequently by the two companies, thereby exploring the underlying value orientations they reflect. Table 6 BC Sematic Domains Item 01 1% 02 2% LL LogRatio Z99 5937 5.91 33466 2.73+ 2508.77 1.11 I2.2 1235 1.23 2344 0.19+ 2131.02 2.68 A5.1 668 0.66 500 0.04+ 1931.46 4.03 I2.1 910 0.91 1410 0.11+ 1811.13 2.98 S7.1+ 1549 1.54 4732 0.39+ 1722.95 2 M3 890 0.89 2656 0.22+ 1016 2.03 O3 393 0.39 450 0.04+ 934.42 3.41 I4 390 0.39 444 0.04+ 930.11 3.42 S8+ 1243 1.24 5450 0.44+ 849.07 1.48 X5.2+ 600 0.6 1481 0.12+ 830.07 2.31 X4.2 706 0.7 2392 0.19+ 695.05 1.85 G2.1 677 0.67 2396 0.2+ 630.72 1.79 A1.1.1 1841 1.83 11347 0.92+ 626.88 0.99 A5.1+ 728 0.72 2923 0.24+ 569.87 1.6 I3.1 834 0.83 3762 0.31+ 543.56 1.44 A15+ 252 0.25 353 0.03+ 534.44 3.12 X2.4 678 0.67 2928 0.24+ 474.59 1.5 Y1 311 0.31 721 0.06+ 455.49 2.4 T3- 574 0.57 2383 0.19+ 427.34 1.56 W5 227 0.23 454 0.04+ 376.16 2.61 Table 7 TC Sematic Domains Item 01 1% 02 2% LL LogRatio Z99 5457 5.35 33466 2.73+ 1809.65 0.97 M3 1176 1.15 2656 0.22+ 1736.48 2.41 O3 564 0.55 450 0.04+ 1574.69 3.91 I2.2 930 0.91 2344 0.19+ 1241.7 2.25 A9- 1113 1.09 3786 0.31+ 1068.73 1.82 O1 464 0.45 643 0.05+ 979.4 3.12 I4 403 0.4 444 0.04+ 967.78 3.45 A1.5.1 710 0.7 1761 0.14+ 962.6 2.28 X5.2+ 630 0.62 1481 0.12+ 897.63 2.36 A2.2 1109 1.09 5190 0.42+ 660.11 1.36 A15+ 286 0.28 353 0.03+ 645.95 3.28 I2.1 508 0.5 1410 0.11+ 615.87 2.12 A1.1.1 1812 1.78 11347 0.92+ 568.18 0.94 X2.2 303 0.3 529 0.04+ 548.92 2.78 I3.1 824 0.81 3762 0.31+ 512.33 1.4 N3.3 340 0.33 833 0.07+ 466.33 2.3 W5 254 0.25 454 0.04+ 452.37 2.75 I1.3 310 0.3 738 0.06+ 436.65 2.34 O2 1062 1.04 6044 0.49+ 423.9 1.08 T2++ 561 0.55 2521 0.21 358.44 1.42 Table 6 and Table 7 show the semantic domains in BYD and Tesla corpus respectively. They illustrate that the primary difference between the two companies is the discourse system construction. Firstly, there is a difference in the focus of value creation. BYD’s “industrialised system thinking” places great emphasis on the integrity of the manufacturing system (see Table 6 ). For example, I2.2 (industrial processes) LL = 2131.02 and A5.1 (quality assessment) LL = 1931.46 reflect the advantage of vertical integration in manufacturing (such as the full industry chain from batteries to vehicles to semiconductors). There is also its policy response mechanism, with S7.1+ (institutional norms) LL = 1722.95 forming an intertextuality with the previous high-frequency word “regulations,” highlighting the company-government relationship in corporate operations. In contrast, Tesla’s “technology market orientation” focuses on extending product experience, with M3 (mobility) LL = 1736.48 and O3 (business activities) LL = 1574.69 underscoring the reconstruction of the user experience (such as the direct sales model + Supercharger network) (see Table 7 ). It also actively innovates symbolic capital, using A9- (technical concepts) LL = 1068.73 to form semantic resonance with “Gigafactory,” attempting to build a technologically religious brand worship. The second difference can be seen in the temporal orientation. BYD mainly uses “current commitment,” with A15+ (certainty) effect size 3.12 / S8+ (obligation) LL = 849.07, demonstrating adherence to the existing responsibility framework (such as ESG compliance). Tesla, on the other hand, mainly uses “future tense,” with O1 (possibility) effect size 3.12/X2.2 (prediction) LL = 548.92, attempting to shape industry discourse through technological prophecy. The common features of the two companies’ CSR reports can be ascribed to the underlying principle of the NEV industry. That is, both companies attach importance to technological progress, with high significance in I4 (BYD LL = 930.11 vs Tesla LL = 967.78), suggesting the continuous R&D investment pressure in the new energy vehicle industry. There is also the tension of globalisation, with X5.2+ (international relations) entering the top 10 semantic domains for both companies, mirroring the geopolitical competition behind the new energy vehicles in China and the United States. Discourse representation As the pronoun “we” is the personal pronoun with the greatest difference in frequency of occurrence between the two companies’ CSR reports, this word is selected for the analysis of the discourse part. We counted the frequency of occurrences of the pronoun “we” to determine the number of times the speaker appears and use this to distinguish between direct and indirect quotations for discourse representation. Figures 3 and 4 reveal a marked difference in referential strategies between the two companies. BYD predominantly utilises third-person nominal references (“company”, “China”), reflecting institutional depersonalisation. Differently, Tesla uses the first-person pronoun (“we”, “our) and strategic self-naming (“Tesla”) with greater frequency than BYD, constructing explicit discursive subjectivity. In terms of grammatical position, BYD’s referents frequently occupy object or attributive positions within passive constructions, while Tesla’s consistently function as subjects in active clauses. This contrast generates distinct discursive effects. That is, BYD positions itself as a regulatory-compliant entity embedded within broader socio-institutional frameworks, emphasizing that the enterprise is a key node in the social system, whereas Tesla actively constructs an agentic identity as a transformative technological leader, regarding the company as the main agent of change. Discourse presupposition With respect to discourse presupposition, we selected statements with strong value or propositional nature from the CSR reports for analysis and inferred how BYD and Tesla positioned their own companies, as well as how these presuppositions influenced stakeholders. Example 1 Carving a path from independent innovation to comprehensive opening-up innovation, BYD continues to lead the accelerated reform of new energy vehicles. (BYD CSR 2023, Page 6) This statement presupposes BYD’s ability of autonomous innovation and industry leadership. This presupposition trigged by the phrase “from independent innovation” implies that BYD itself possesses intrinsic capabilities for self-directed technological advancement rather than reliance on external innovation sources. Such capabilities include potential for independent exploration and breakthroughs across R & D, product design, and business model development. The construction also presupposes BYD’s positional authority to direct changes within the new energy vehicle sector. This discursive strategy guides the public to recognise BYD not just as an industry participant but as an institution influencing to shape the field’s development trajectory. Example 2 Our mission is to accelerate the world’s transition to sustainable energy. Since Tesla’s inception, our goals have centred on the opportunities presented by the sustainable energy transition. (Tesla CSR 2023, Page 5) The first sentence explicitly articulates Tesla’s corporate mission, while pragmatically implying the company’s perceived responsibility and ability to promote the global application and advancement of sustainable energy. This discursive framing positions Tesla as a transformative agent integrating corporate growth with the global energy transition. The second sentence indicates Tesla’s foundational strategic orientation: focusing on various opportunities inherent within sustainable energy transition. Such opportunities cover technological innovation, market demand evolution and policy support, etc. This statement also suggests the operational translation of these macro-level opportunities into concrete business objectives and strategic initiatives. This means that the company takes sustainable energy transition as the key consideration in decision-making, resource allocation, and market expansion. Example 3 To perfect the development pathway for skilled personnel, BYD has established a mentorship training and skill level accreditation system to build an internal supply chain of skilled personnel. (BYD CSR 2022, Page 52) The sentence above constructs BYD’s strategic framework through two key metaphors: the “development pathway” and “internal supply chain”. The former uses the spatial metaphor of a “pathway” to conceptualise career development as a directional, upward route, employing symbolic attributes like “smoothness” and “orientation” to mitigate professional development uncertainties. The latter adapts manufacturing terminology to align the talent development system with supply chain management, establishing a closed-loop mechanism of “precise person-position matching.” Through conceptual integration of these metaphors, the discourse achieves dual objectives: (1) leveraging industrial scenarios familiar to employees to enhance cognitive accessibility of the accreditation system, and (2) appropriating supply chain precision constructs to reinforce the professional identity of corporate management. This metaphorical blending operationalises organisational processes through domain-specific cognitive frames. Example 4 Our greatest asset is our people. We are committed to providing a workplace where our employees feel respected, satisfied and appreciated. (Tesla CSR 2022, Page 101) The statements in Example 4 employ dual metaphorical constructions to frame organisational values. The asset metaphor (“Our greatest asset is our people”) presupposes employees as the primary carriers of the company’s strategic value. It emphasises their investable value creation while implying organisational irreplaceability. Concurrently, a spatial metaphor in the second statement constructs the workplace as a safe and nurturing environment, discursively preconfiguring the company’s commitment to systems that address employees’ emotional needs. Through conceptual integration of these metaphors, the discourse simultaneously operationalises rational management principles and embodies affective organisational care. This synthesis thereby projects a human-centric management philosophy while aligning employee agency with organisational goals. Discussion This study integrates Fairclough’s three-dimensional discourse analysis framework with corpus linguistics techniques to examine CSR reports from leading Chinese and US NEV enterprises—BYD and Tesla. The analysis identifies similarities and differences in their corporate identity discourse construction, thereby enriching research on corporate identity within the NEV sector. Both companies construct their corporate identity through common themes aligned with core industry imperatives. They frequently use the term “energy” to highlight the importance of energy transformation. Both emphasise research and development investment. Moreover, the two companies’ CSR reports highlight strengthening supplier management, global operational footprints, and safety protocols. They underscore the alignment with the ESG framework, including environmental responsibility (e.g., quantifying carbon reduction targets, highlighting clean technologies) and social responsibility (e.g., safeguarding employee rights and interests, engaging in philanthropy).This finding corroborates that of Fuoli (2018)’s study that companies mainly showcase their integrity and benevolence through CSR reports. Despite the commonalities, distinct discursive strategies reflect differing corporate priorities and contexts. BYD emphasises its policy compliance and localised operation. Frequent terms like “regulations” and “procurement” reinforce a strong regional (“China”) identity. Specific temporal references (e.g., “2022”) strategically align corporate progress with national policy cycles, notably the mid-term evaluation of China’s 14th Five-Year Plan 1 and dual-carbon goals. The discourse prioritises systematic manufacturing management, vertical integration, quality control, employee welfare, and social inclusiveness. Consequently, BYD constructs its identity through narratives of policy adherence, systematic manufacturing excellence, and government-enterprise collaboration. Tesla focuses on technological innovation and clean energy leadership. The discourse continuously highlights technological disruptiveness and environmental commitment, exemplified by setting specific quantitative “GHG” (greenhouse gas) and supply chain emission targets by 2030. Terms like “battery”, “solar” and “model” alongside the linkage of “supply chain” and “gigafactory” emphasise global leadership and capital-intensive production. Extensive use of first-person narrative (“we”) reinforces brand subjectivity and standard-setting authority. Tesla thus builds its identity around technological leadership, a clean energy mission, and strong brand recognition. The contrasting identity discourse stems from fundamental differences in industrial models, government-enterprise relations, and value systems. Regarding industrial model, BYD’s high-frequency terms (“procurement”, “regulations”, “system”) reflect a policy-driven, scale-economy model focusing on cost control (Wang et al., 2023 ). This aligns with China’s NEV industry reliance on subsidies, the dual-credit system, and vertically integrated production (e.g., > 70% integration rate) to reduce marginal costs. Its discourse balances policy utilisation with scaled production imperatives, evident in strategic temporal markers like “2022” echoing the 14th Five-Year Plan’s NEV penetration target (General Office of the State Council, 2020 ). Tesla’s keywords (“battery”, “solar”, “model”) indicate an innovation-driven model employing product differentiation and premium pricing. This corresponds to the US context of indirect support (e.g., tax credits like the IRA Act) and reliance on technological barriers for market valuation (Slowik et al., 2023 ). Its asset-light strategy (e.g., outsourcing batteries) prioritises software and brand value, resulting in discourse centring on technology commodification narratives, such as branding the 4680 battery as an “industry disruptor”(Naor, 2022 ) and “gigafactory (super factory)” as a symbol of capital aggregation (Cooke, 2020 ). This result corroborates Li ( 2022 )’s finding that underlying behind these identities are capitalism ideology and power dominance. The differences in the identity discourse are also due to the differing government-enterprise relationship. BYD’s discourse (“China”, “responsibility”, “development”) positions the company as a national agent fulfilling political missions tied to China’s dual-carbon goals (carbon neutrality and carbon peaking by 2030) (General Office of the State Council, 2020 ). High government procurement dependence (e.g., > 15% for electric buses, especially in terms of taxes) (Mao et al., 2023 ) and export strategies (e.g., Belt and Road focus) (Cao et al., 2018 ) reinforce an identity rooted in institutional commitments like “serving the national energy strategy”. Differently, Tesla functions more as a regulatory challenger, engaging in technical standard disputes with the US government. Actions like rapidly increasing Shanghai factory localisation (95% in 2023) to circumvent regulations (Wu, 2025 ) and dominating the North American Charging Standard (Magolan, 2025 ) inform a discourse featuring deregulation narratives, such as “we redefine mobility”. The differences may be attributed to the differences in value identification. This finding supports Geng et al. ( 2022 )’s study that Chinese and American enterprises prioritise different values, implying differing ideologies behind these values. For instance, BYD’s keywords (“people”, “employees”, “service”) reflect collectivist values and a social contract narrative, influenced by traditional Confucian ideals such as “benefiting all under heaven”. This manifests in significant social investments (e.g., around 300 million yuan/year in charity focusing on education poverty alleviation) (Xu et al., 2025 ) and large employee incentive schemes within the “common prosperity” context (e.g., 1.8-billion-yuan stock plan) (Luo, 2023 ). Its discourse emphasises community building (e.g., “growing together with supply chain partners”) and institutional obligations (e.g., carbon quota commitments). Tesla’s discourse blends technological individualism and Silicon Valley-influenced elitism. The strong association with CEO Elon Musk’s personal brand (Ehrhardt et al., 2023 ) and incorporation of geek culture symbols (e.g., Cybertruck’ s disruptive design) (Berry, 2023 ) cultivate a narrative of technological supremacism, positioning Tesla as a “saviour” accelerating the sustainable energy transition. In addition, strategic use of “we” fosters brand identification and user loyalty. Conclusion The comparative analysis reveals how BYD and Tesla employ distinct discursive strategies rooted in their respective institutional environments, economic models, and cultural values to construct unique corporate identities within the global NEV landscape. In the “text” dimension, the two companies construct unique identities via distinct high frequency word and collocation strategies. BYD utilises high-frequency vocabulary such as “regulation” and “system” to construct an identity centring on compliance and rigorous operational management, while Tesla employs characteristic terms such as “battery” and “emissions” to foreground innovation and environmental commitment. In the “discourse practice” dimension, BYD predominantly adopts third-person narration and passive voice, positioning itself as an objective contributor within the industry ecosystem. Conversely, Tesla frequently utilises first-person narration (“we”) to actively assert its role as a technological innovator and articulate its mission in sustainable energy transition. In the “social practice” dimension, BYD’s discourse emphasises its policy-aligned, scale-driven economic model and responsiveness to national objectives, reflecting the responsibilities of a manufacturing leader. Tesla’s discourse reinforces its asset-light structure and brand premium, cultivating a high-end global image and strengthening its identity as a technological pioneer. The current study provides implications for stakeholders of enterprises to better understand and utilise CSR reports. Investors need to prioritise examining specific quantitative data and concrete examples within reports. The maturity and consistency of a company’s identity narrative signal strategic coherence. They also need to assess the presence of long-term plans addressing industry challenges, as those companies exhibiting robust risk resilience and sustained innovation capacity typically have greater growth potential. Consumers can use CSR reports as a more credible source than marketing communications to discern authentic corporate values and select aligned brands. Scrutinizing report details helps differentiate genuine responsibility and capability from superficial marketing narratives. For employees, it is better to focus on the sections of the report relating to employee training hours and promotion rates. Companies willing to disclose such information are more likely to prioritise employee development. Furthermore, developing specialised CSR reporting competencies represents a valuable skill for employees. Given the current scarcity of CSR report talent, proficiency in report writing can lead to higher compensation and more career opportunities. For enterprises, they are supposed to optimise CSR report writing. They can enhance clarity by replacing verbose text with data visualisations and featuring key environmental initiatives. They may also strategically employ identity-laden metaphors and labels (e.g., “low-carbon pioneer”, “community-friendly neighbour”, “technology leader” shown in the reports) to subconsciously shape reader perception and strengthen desired positioning. These insights provide enterprises with actionable references to refine identity discourse, reinforce brand construction, and bolster market competitiveness. Despite its contributions, the current study is not without any limitations. First of all, due to constraints in manpower, time, and research complexity, the current analysis failed to track the long-term (over 10 years) dynamic evolution of corporate identity discourse construction. Future research should expand the temporal scope to investigate dynamic changes in identity characteristics. Second, the study only focuses on text analysis. As CSR reports employ multimodal resources beyond text (e.g., images, infographics). subsequent studies could adopt multimodal analysis frameworks to examine these complementary elements. Declarations Competing interests The authors declare that they have no conflicting interests. Ethical approval This article does not contain any studies with human participants performed by any of the authors. 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Fiscaoeconomia 9(2):970–984. https://doi.org/10.25295/fsecon.1512281 Zhang J (2024) ESG information disclosure in China’s new energy vehicle industry: a case study of BYD. https://doi.org/10.1051/shsconf/202420802012 . SHS Web Conf 208 Zheng YX, Feng QQ (2025) ESG performance, dual green innovation and corporate value-based on empirical evidence of listed companies in China. Environ Dev Sustain 27:609–624 https://doi.org/10.1007/s10668-024-05394-8 Footnotes China’s five-year plans refer to a series of initiatives to guide the country’s social and economic development. The 14th Five-Year Plan, covering the years from 2021 to 2025, highlights innovation-driven growth, low-carbon development, and the integration of urban and rural areas. Additional Declarations No competing interests reported. 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They demonstrate how companies pursue economic benefits while actively fulfilling their social and environmental responsibilities. Along with increasing attention from consumers, investors, and regulators, CSR reports have become important vehicles for companies to showcase their social responsibility and construct their identity discourse (Li, \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). Research has shown that there is a positive relationship between the identity discourse of a company and its financial performance as well as a favourable position in market competition (Michaels \u0026amp; Gr\u0026uuml;ning, \u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). Therefore, companies are motivated to construct an identity through CSR reports to favour their stakeholders (e.g., consumers, customers, investors).\u003c/p\u003e\u003cp\u003eIn the context of globalisation, new energy vehicle (NEV) companies, as vital forces for sustainable development, have significant impacts not only on their own brand image and market competitiveness but also on public perception and stakeholders\u0026rsquo; decision-making (Fuoli, \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2017\u003c/span\u003e). Tesla and BYD, as globally renowned electric vehicle manufacturers and representatives of the leading levels of NEV development in the USA and China respectively, are not only closely watched for their technological innovation and market performance but also widely discussed for their CSR practices and achievements (Hu, \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). Therefore, studying the identity construction in the CSR reports of these two companies holds important practical significance. It can offer insights into how companies present themselves to stakeholders, enhancing brand image and reputation. This can also help companies improve their social responsibility strategies, making them more effective and aligned with societal expectations. Against this background, this study aims to analyse and compare the CSR reports of Tesla and BYD based on Fairclough\u0026rsquo;s three-dimensional discourse model (1993) to explore the strategies and characteristics of identity construction discourse. It seeks to reveal how companies from different cultural backgrounds construct their identities through CSR reports, and how the discursive strategies reflect their market positioning and strategic choices. This can provide new perspectives for understanding corporate cultural dissemination and image formation in the context of globalisation, offering valuable references for interdisciplinary studies.\u003c/p\u003e"},{"header":"Literature Review","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\u003ch2\u003eCorporate identity construction\u003c/h2\u003e\u003cp\u003eInitially emerging from anthropology and psychology (Li, \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2022\u003c/span\u003e), identity studies have been extended to the institutional domain along with the proliferation of various social institutions. Scholars widely recognise that institutions themselves possess distinct identities (Coupland \u0026amp; Brown, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2004\u003c/span\u003e; Wagner \u0026amp; Pedersen, \u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). As a specific branch of institutional identity, corporate identity has been empirically linked to enhancing organisational performance (Sim\u0026otilde;es et al., \u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e2005\u003c/span\u003e). It critically shapes stakeholder perceptions of the organisation and significantly influences corporate image and reputation, factors demonstrably crucial for competitiveness and profitability (Vella \u0026amp; Melewar, \u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e2008\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eThe discursive turn within identity studies (Bucholtz \u0026amp; Hall, \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2010\u003c/span\u003e) has spurred growing scholarly interest in examining corporate identity construction through the lens of social constructionism (De Fina et al., \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2006\u003c/span\u003e; Kroskrity, \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e1999\u003c/span\u003e). This perspective conceptualises identity not as fixed, pre-given, or unidirectional, but as dynamically, actively, and interactively constructed (Benwell \u0026amp; Stokoe, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2006\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eAs social constructionism permeates corporate identity research, scholars have progressively refined this topic\u0026rsquo;s conceptual boundaries. For example, Feng (\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2017\u003c/span\u003e) adopted an integrated sociolinguistic research approach, encompassing thematic analysis, interactional analysis, and in-depth interviews to propose a novel dialogic framework for corporate identity construction. Tourky et al. (\u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e2020\u003c/span\u003e) extended the conceptualisation of corporate identity developing a validated measurement scale through a multi-stage research design and providing the first empirical validation of corporate identity as a second-order hierarchical construct. Later, the trend in corporate identity construction research has shifted towards combining with social responsibilities such as environmental protection and innovation (Fosu et al., \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2024\u003c/span\u003e), as well as with specific companies or industries (Laksana et al., \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e2025\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eA significant body of research analyses textual discourse within business genres\u0026mdash;such as corporate profiles, annual reports, CEO letters, and CSR reports\u0026mdash;to investigate identity construction (Fuoli, \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2017\u003c/span\u003e; Li, \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; Lu et al., \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2025\u003c/span\u003e; Wu et al., \u003cspan citationid=\"CR62\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). These studies have analysed and interpreted various corporate texts through diverse linguistic strategies at the textual level and uncovered how companies construct their identities in these texts. They have revealed that discursive strategies (e.g., stance expressions, interactional metadiscourse, rhetoric strategies) actively shaped various corporate identities. These studies have deepened the academic community\u0026rsquo;s understanding of the inter-constructive relationship between corporate discourse and identity.\u003c/p\u003e\u003cp\u003eCritical Discourse Analysis (CDA) has emerged as a prominent interdisciplinary methodology in this field. CDA conceptualises discourse as an integral part of social organisation and process (Fowler, 1979), systematically imbued with meaning and value by social institutions (Kress, \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e1979\u003c/span\u003e). CDA research on corporate identity primarily examines the interplay between linguistic choices, power relations, social structures and values, and ideologies. For example, Li (\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2022\u003c/span\u003e) demonstrated how Starbucks\u0026rsquo; CSR reports construct identities such as \u0026ldquo;supportive caretaker\u0026rdquo; for partners and \u0026ldquo;CSR-conscious selector\u0026rdquo; for suppliers. However, this analysis revealed how these seemingly benevolent identities mask underlying capitalist ideologies and corporate agendas, illustrating power dominance and unequal relations embedded within the reports. Geng et al. (\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e2022\u003c/span\u003e) also discovered that cross-cultural differences (e.g., collective vs. individual interest) existed behind the different discursive strategies of corporate identity construction between Chinese and American enterprises.\u003c/p\u003e\u003cp\u003eDespite these contributions, existing research shows significant gaps. Firstly, studies often focus heavily on textual-level analysis, revealing meanings and metaphors within texts, but insufficiently integrate discursive practices with the broader macro socio-economic environment. Secondly, while corporate identity discourse has been examined in sectors like high-tech, finance, energy, and pharmaceuticals (e.g., Geng et al., \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; Li, \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; Lu et al., \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2025\u003c/span\u003e; Wang et al., \u003cspan citationid=\"CR63\" class=\"CitationRef\"\u003e2024\u003c/span\u003e), the New Energy Vehicle (NEV) industry has received less attention. As an emerging key development area for the country, research on corporate identity construction within the NEV industry is particularly vital for understanding corporate internationalisation and supporting the \u0026ldquo;going global\u0026rdquo; strategy of companies within this domain.\u003c/p\u003e\u003c/div\u003e\n\u003ch3\u003eTesla and BYD CSR reports\u003c/h3\u003e\n\u003cp\u003eAs the global transition toward carbon neutrality accelerates, the NEV industry has become central to climate policy and corporate sustainability narratives. NEV firms increasingly integrate ESG (Environmental, Social, and Governance) factors into strategic narratives to differentiate themselves in a competitive market (Fan \u0026amp; Wang, \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2025\u003c/span\u003e). Drawing on stakeholder theory (Freeman et al., \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e2010\u003c/span\u003e), legitimacy theory (Deegan, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2002\u003c/span\u003e), and institutional theory (Campbell, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2007\u003c/span\u003e), companies like Tesla and BYD use CSR disclosures to address demands from investors, governments, and civil society. These disclosures also reflect adaptation to regulatory frameworks like the EU Taxonomy and China\u0026rsquo;s \u0026ldquo;Dual Carbon Goals\u0026rdquo;(European Commission, \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Zheng \u0026amp; Feng, \u003cspan citationid=\"CR68\" class=\"CitationRef\"\u003e2025\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eTesla and BYD, as two leading global manufacturers, adopt distinct strategic approaches in constructing their sustainability narratives and emphasise key themes such as value creation, innovation, impact management, and long-term performance (Ogrean \u0026amp; Herciu, \u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). For example, Tesla employs a mission-driven CSR strategy centred on its brand identity, emphasizing climate action, emissions reduction, and investor communication (Ogrean \u0026amp; Herciu, \u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). Its ESG performance shows an upward trend, aligning with a performance-focused narrative. The company builds a positive image through EVs and renewable energy, solidifying leadership in the low-carbon transition and enhancing reputation (Fan \u0026amp; Zhao, \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). It prioritises localised production, renewable energy use, and transparent carbon disclosure (Vig et al., \u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). It also cultivates loyalty and regulatory support via a strong green mission, highlighting the strategic role of environmental responsibility. Operational innovations like factory redesign and 4680 battery cells support this strategy (Vig et al., \u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). However, critiques note Tesla lacks an explicit zero-emission commitment and detailed regional emissions data, recommending standardised frameworks for better comparability and tracking accuracy (Vig et al., \u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e2022\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eBYD\u0026rsquo;s CSR strategy prioritises alignment with Chinese national policies (e.g., \u0026ldquo;Made in China 2025\u0026rdquo;, \u0026ldquo;Dual Carbon Goals\u0026rdquo;), framing technology-led growth and environmental responsibility as patriotic duties (Ogrean \u0026amp; Herciu, \u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; Yazici, \u003cspan citationid=\"CR66\" class=\"CitationRef\"\u003e2025\u003c/span\u003e). Reflecting China\u0026rsquo;s state-driven approach, its reports emphasise green manufacturing and social stability (Shou \u0026amp; Li, \u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e2024\u003c/span\u003e) and societal progress over shareholder activism. For instance, Zhang (\u003cspan citationid=\"CR67\" class=\"CitationRef\"\u003e2024\u003c/span\u003e) recognises BYD\u0026rsquo;s practices as a valuable reference for Chinese NEV firms with global significance. However, its ESG disclosures suffer from selective reporting, insufficient content, lack of supporting data/visuals, and simplistic methods, requiring improvement (Zhang, \u003cspan citationid=\"CR67\" class=\"CitationRef\"\u003e2024\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eIn sum, Tesla\u0026rsquo;s CSR discourse foregrounds brand vision and investor trust, while BYD emphasises policy compliance and innovation-driven sustainability. These divergent CSR strategies reflect broader institutional and cultural frameworks within which each company operates, offering a comparative lens for understanding how CSR reporting serves as a tool for international identity construction in the NEV industry. These contrasts underscore that CSR reports are not only tools of accountability, but also culturally embedded texts that reflect different priorities, audiences, and visions of sustainability within the global NEV industry.\u003c/p\u003e"},{"header":"Research Methodology","content":"\u003cdiv id=\"Sec6\" class=\"Section2\"\u003e\u003ch2\u003eFairclough’s three-dimensional framework\u003c/h2\u003e\u003cp\u003eFairclough (\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e1992\u003c/span\u003e) proposed a three-dimensional discourse analysis model to uncover language’s ideological aspects. The model is an important theoretical framework in the field of CDA. Its development has evolved from being based on systemic functional linguistics to gradually incorporating dimensions of social practice and ideology (Fairclough, \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e1992\u003c/span\u003e). Agreeing with Foucault’s (\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e1994\u003c/span\u003e) statement that power and language are inseparable: language is where power resides, Fairclough (\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2003\u003c/span\u003e) combined this power-discourse theory and systemic functional grammar with Bakhtin’s dialogism (1981). He deemed ideology, discourse, and power as CDA’s key factors, with discourse as a significant social symbol in practice.\u003c/p\u003e\u003cp\u003eFairclough’s CDA model includes three dimensions: texts, discursive practice and social practice. Texts, the products of discursive practice, focus on vocabulary, grammar, coherence, and semantic domains. Discursive practice involves text production, distribution, and consumption, linking text analysis to social practice. The analysis of discourse in social practice places it within ideological and power structures. Texts and discursive practices are shaped by specific social conditions and in turn construct society.\u003c/p\u003e\u003cp\u003eFairclough (\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2013\u003c/span\u003e) believed discourse is not just linguistic expression but also a form of social practice. His critical discourse analysis critically synthesises linguistic and sociological theories. Analysing the three dimensions of text, discursive practice, and social practice can comprehensively reveal language use in socio-cultural contexts and underlying power and ideological relationships. The three-dimensional analysis model has also been utilised in corporate identity construction research, examining how companies construct their identities through texts, discourse practices, and social practices (Lestari \u0026amp; Fitri, \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e2021\u003c/span\u003e).\u003c/p\u003e\u003c/div\u003e\n\u003ch3\u003eData collection and analysis\u003c/h3\u003e\n\u003cp\u003eThis study selects the CSR reports of BYD and Tesla as linguistic data, sourced from the official websites of the companies, covering the period from 2019 to 2023(a period of rapid development with regional differences in the NEV industry). The comparability of the reports from these two companies is justified as follows: As the leading companies in NEV industry, BYD and Tesla share two features: (1) their sales revenue has qualified them in the list of Fortune Global 500 companies; (2) their products have entered the global market and have global appeal. In this study, five reports were downloaded respectively from each company’s official website.\u003c/p\u003e\u003cp\u003eABBYY FineReader PDF 15 software was employed to convert the PDF format of the reports into TXT format and also used for data cleaning. During the process, all the irrelevant information, such as serial numbers, page numbers, images, insignificant numbers and charts, was removed from the CSR reports to prevent any interference with the textual content. The five reports from each company were then aggregated to construct two separate corpora: the BYD Corpus (BC) and the Tesla Corpus (TC).\u003c/p\u003e\u003cp\u003eAfter the selection, the texts of the reports were uploaded into the Wmatrix to construct a self-built corpus for this study (see Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). The filtered corpus consists of a total of 10 report texts, with the effective corpus amounting to 202,525 words. The average length of each report is approximately 20,252 words.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003e\u003cem\u003eCSR Corpus\u003c/em\u003e\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"3\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCorpus\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eBC\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eTC\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eNumber of Texts\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e5\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eTotal Words\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e100523\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e102002\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eLemma Types\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e9186\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e10980\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eA newly launched Wmatrix 7 was utilised for data analysis. As a software for corpus analysis and comparison, Wmatrix provides a web interface to natural language processing tools such as the USAS and CLAWS corpus annotation tools for English, plus the multilingual semantic tagger PyMUSAS. It also embraces standard corpus linguistic methodologies such as frequency lists, keyness statistics, n-grams, collocations and concordances, extending the keywords to key grammatical categories and semantic domains.\u003c/p\u003e\u003cp\u003eAfter the data collection and the corpus construction and cleaning, the corpus in TXT format was uploaded to Wmatrix. The two corpora were analysed using word frequency statistics, collocation analysis, and the unique semantic domain analysis function of Wmatrix. Findings generated from the analysis are detailed as follows.\u003c/p\u003e\u003cdiv id=\"Sec8\" class=\"Section2\"\u003e\u003cdiv id=\"Sec9\" class=\"Section3\"\u003e\u003c/div\u003e\u003c/div\u003e\n\n"},{"header":"Finding","content":"\u003ch2\u003eDistribution of high-frequency words\u003c/h2\u003e\u003cp\u003eThe distribution of high-frequency words was visualised using word clouds. When the BYD corpus and the Tesla corpus were respectively used as the main corpora for research, British English 2021 was used as the reference corpus to generate the word clouds. This approach allowed the identification of high-frequency words that significantly differ from the reference corpus in the main corpus (Gries, \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e2021\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eFigure \u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e illustrates the high-frequency lexical choices within BYD’s discourse, prominently featuring terms such as “distributor”, “company”, “regulation”, “law management”, and “system”. The recurrent use of “regulation” and “law management” demonstrates BYD’s institutional commitment to regulatory compliance and systematic governance, constructing an identity as a legally accountable corporate entity. Concurrently, terms like “company” and “distributor” underscore BYD’s established industrial position and supply chain influence, reinforcing its authoritative contribution to the NEV sector and enhancing brand credibility. Furthermore, the emphasis on “system” signifies BYD’s structured approach to technological innovation and organisational advancement, suggesting a capacity for integrated R\u0026amp;D that may appeal to consumers who prioritise technical sophistication in product selection.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eFigure \u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e reveals prominent lexical patterns in Tesla’s discourse, characterised by high-frequency terms such as “emissions”, “data”, “battery”, “energy”, and “supply”. The strategic emphasis on “emissions” and “energy” underscores Tesla’s commitment to reducing carbon footprints and advancing sustainable energy solutions. This discursive alignment with contemporary environmental concerns strategically positions Tesla as an ecological pioneer. Concurrently, terms like “battery” and “data” signify Tesla’s technological leadership in core domains—electric vehicle innovation, energy storage systems, and data-driven operations—suggesting potential appeal to technology-oriented consumers seeking high-performance solutions. Furthermore, the recurrent use of “supply” showcases Tesla’s emphasis on supply chain efficiency and transparency, enhancing consumer confidence in product reliability and systemic stability.\u003c/p\u003e\u003ch3\u003eFrequency counting of words\u003c/h3\u003e\u003cp\u003eTo control variables and observe the different word frequencies in the two corpora, the BE21 corpus was consistently used as the reference corpus for analysis.\u003c/p\u003e\u003cp\u003eTables\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e and \u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e present the word frequency analysis for BC and TC. The column labelled “Item” denotes the specific lexical unit under analysis. “01” represents the absolute frequency (raw count) of a given word within the target corpus (e.g., BYD reports), while “1%” indicates its relative frequency (expressed as a percentage of the total words in that corpus). Similarly, “02” specifies the absolute frequency of the word within the reference corpus, and “2%” represents its corresponding relative frequency. The “log-likelihood” (LL) statistic quantifies the statistical significance of differences in word distribution between the corpora, that is, higher absolute values denote greater significance. The “logratio” measures the degree of preference or avoidance for a word in the target corpus relative to the reference corpus, where positive values indicate preferential usage and negative values indicate avoidance.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003e\u003cem\u003eThe Word Frequency of BC\u003c/em\u003e\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"7\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eItem\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003e01\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003e1%\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003e02\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003e2%\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003eLL\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u003cp\u003eLogRatio\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003ebyd\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e1505\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1.5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e7737.35\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e13.16\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003emanagement\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e608\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e151\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.01+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e2404.37\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.62\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eemployees\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e359\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.36\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e43\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e1586.17\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.67\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003equality\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e391\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.39\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e153\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.01+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e1395.69\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e4.96\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003ecompany\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e393\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.39\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e171\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.01+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e1363.19\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e4.81\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e355\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.35\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e152\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.01+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e1236.9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e4.83\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003esystem\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e360\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.36\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e312\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.03+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e979\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e3.82\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003esuppliers\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e189\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.19\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e916.16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e8.36\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003evehicles\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e219\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.22\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e41\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e910.12\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.03\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003esafety\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e264\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.26\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e147\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.01+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e849.7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e4.45\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003edevelopment\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e265\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.26\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e193\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.02+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e774.55\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e4.07\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eproduct\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e204\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e72\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.01+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e747.39\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.11\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eregulations\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e182\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.18\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e37\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e746.21\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.91\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eservice\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e275\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.27\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e259\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.02+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e720.31\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e3.7\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e2022\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e181\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.18\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e45\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e715.63\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.62\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003echina\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e197\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e93\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.01+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e667.51\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e4.69\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eprocurement\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e142\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e666.09\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e7.59\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003ecustomer\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e183\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.18\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e72\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.01+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e652.3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e4.96\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eresponsibility\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e172\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.17\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e56\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e642.33\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.23\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003epeople\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e112\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.11\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e578.05\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e11.42\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003e\u003cem\u003eThe Word Frequency of TC\u003c/em\u003e\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"7\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eItem\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003e01\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003e1%\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003e02\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003e2%\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003eLL\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u003cp\u003eLogRatio\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003etesla\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e842\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.83\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e4295.11\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e12.31\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eour\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e1632\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1.6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1772\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.14+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e3948.81\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e3.47\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eemissions\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e539\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.53\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e61\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e2382.58\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.73\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e489\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.48\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e152\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.01+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e1832.67\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.27\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003evehicle\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e390\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.38\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e34\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e1770.97\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e7.11\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003evehicles\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e296\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.29\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e41\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e1276.73\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.44\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eu.s.\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e230\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e1125.91\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e8.85\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003emanufacturing\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e240\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.24\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e1079.86\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.97\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003ebattery\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e235\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e1055.11\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.94\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003esupply\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e271\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.27\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e92\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.01+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e995.08\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.15\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003esuppliers\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e205\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e992.11\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e8.46\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003ewe\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e1077\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1.06\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e3797\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.31+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e987.77\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e1.77\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eghg\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e183\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.18\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e939.55\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e12.1\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003echain\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e221\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.22\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e42\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e910.36\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.98\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003emodel\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e278\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.27\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e161\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.01+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e875.99\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e4.38\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eemployees\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e209\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e43\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e849.64\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.87\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003esafety\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e262\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.26\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e147\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.01+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e834.41\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e4.42\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003egigafactory\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e156\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e800.93\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e11.87\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003esolar\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e160\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e18\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e707.74\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.74\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eproducts\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e194\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.19\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e84\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.01+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e668.79\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e4.8\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eTables\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e and \u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e reveal significant commonalities in the discursive strategies of the two companies. First, reflecting industry consensus, both companies prioritise technological infrastructure, with high-frequency terms like “vehicle(s)” and “energy,” which signify core attributes of the new energy vehicle industry. Supply chain responsibility further constitutes a shared emphasis, with “suppliers” prominently featured in both corpora, underscoring the industry’s heavy reliance on upstream suppliers. Second, with respect to ESG Framework alignment, both companies address environmental and social dimensions central to CSR reports. While BYD foregrounds “energy”, Tesla emphasises “emissions” and “GHG” (greenhouse gases), collectively demonstrating divergent approaches to carbon footprints management. Third, regarding social dimension, they both pay attention to “employees” and “safety,” which reflects the labour-intensive nature of the manufacturing industry.\u003c/p\u003e\u003cp\u003eThe differences between the two companies’ CRS reports are equally significant, mainly reflected in their strategic positioning. BYD’s discourse is oriented towards localised operations, with salient terms like “China”, “regulations” and “procurement” highlighting its embeddedness within domestic regulatory frameworks and government relations. These lexical profile positions BYD as an integral component of China’s manufacturing ecosystem. Simultaneously, BYD places great emphasis on systematic management through terms such as “management”, “system” and “quality”, forming a matrix-like narrative that underscores organisational stability—a hallmark of manufacturing enterprises.\u003c/p\u003e\u003cp\u003eIn contrast, Tesla constructs a global technological brand identity. Terms such as “Gigafactory”, “battery”, and “solar” project an image of technological pioneer, while proprietary nouns reinforce perceptions of innovation exclusivity. Tesla also accentuates supply chain vertical integration, with high-frequency references to “supply chain” and “manufacturing”, underlining its closed-loop control from battery production to vehicle assembly.\u003c/p\u003e\u003ch2\u003eCollocation of keywords\u003c/h2\u003e\u003cp\u003eIn this section, we will select high-frequency words common to both corpora and conduct collocation analysis for these words within each corpus to explore word associations and recurrence. Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e and Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e present the collocate frequency in BYD and Tesla corpus respectively. The two tables show that “energy” (the most frequent word in both BC and TC), the word with the highest log-likelihood, can be selected for analysis.\u003c/p\u003e\u003cp\u003eIn Tables\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e and \u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e, “Word” is the core word for analysis, and “Collocate” refers to the words that collocate with the node word. L3-L1 indicates the number of times the collocate appears at positions 3, 2, and 1 to the left of the node word, while R1-R3 shows the frequency at positions 1, 2, and 3 to the right. “Total” is the overall collocation frequency within the five positions (L3-R3). “Word Freq” is the total occurrences of the node word (energy) in the corpus, and “Collocate Freq” is the same for the collocate (new). Mutual Information (MI) measures the association strength between the node and collocate words, and Log-Likelihood Ratio (LL2) tests the statistical significance of their collocation.\u003c/p\u003e\u003cp\u003eThe selection of analytical metrics aligns with our research objectives. Mutual Information (MI) effectively captures non-linear semantic relationships within lexical patterns, while Log-Likelihood Ratio (LL2) robustly quantifies statistical significance in large-scale corpora. Given that our goal is to identify lexemes exhibiting statistically marked frequency differentials between the Tesla and BYD corpora and to examine semantic associations and thematic recurrences, LL2 is optimally suited for comparative frequency analysis, whereas MI appropriately elucidates thematic networks through collocational strength.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c11\" colnum=\"11\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c12\" colnum=\"12\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c13\" colnum=\"13\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003e\u003cem\u003eBC Collocate Frequency\u003c/em\u003e\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"13\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eWord\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eCollocate\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eL3\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eL2\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003eL1\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003eR1\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u003cp\u003eR2\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e\u003cp\u003eR3\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e\u003cp\u003eTotal\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c10\"\u003e\u003cp\u003eWord\u003c/p\u003e\u003cp\u003eFreq\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCollocate\u003c/p\u003e\u003cp\u003eFreq\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c12\"\u003e\u003cp\u003eMI\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c13\"\u003e\u003cp\u003eLL2\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003enew\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e142\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e148\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e317\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e355\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e7.047\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e1234.356\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003enew\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e142\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e148\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e355\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e317\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e7.047\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e1223.76\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003estorage\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e70\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e88\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e86\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e355\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e8.179\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e982.716\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003estorage\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e70\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e88\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e355\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e86\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e8.179\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e846.083\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003evehicles\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e61\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e85\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e219\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e355\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e6.78\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e668.231\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003evehicles\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e61\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e85\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e355\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e219\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e6.78\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e652.315\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eof\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e18\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e66\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e111\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e355\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e3267\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e3.266\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e335.74\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eof\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e66\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e18\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e111\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e3267\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e355\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e3.266\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e306.737\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003erenewable\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e24\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e24\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e355\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e8.145\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e271.009\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003econsumption\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e26\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e31\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e62\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e355\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e7.145\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e264.323\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003econsumption\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e26\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e31\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e355\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e62\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e7.145\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e248.268\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eand\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e18\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e29\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e22\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e102\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e355\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e4432\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e2.704\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e233.795\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003erenewable\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e24\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e355\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e24\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e8.145\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e224.828\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eand\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e22\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e29\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e18\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e102\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e4432\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e355\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e2.704\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e211.379\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003esolar\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e12\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e21\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e35\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e355\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e7.409\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e190.121\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003esolar\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e12\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e21\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e355\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e35\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e7.409\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e175.178\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e32\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e355\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e355\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e4.674\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e148.598\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eproducts\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e11\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e8\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e24\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e148\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e355\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e5.521\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e140.688\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eproducts\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e8\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e11\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e24\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e355\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e148\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e5.521\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e138.325\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003evehicle\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e17\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e19\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e115\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e355\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e5.548\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e112.137\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c11\" colnum=\"11\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c12\" colnum=\"12\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c13\" colnum=\"13\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab5\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 5\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003e\u003cem\u003eTC Collocate Frequency\u003c/em\u003e\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"13\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eWord\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eCollocate\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eL3\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eL2\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003eL1\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003eR1\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u003cp\u003eR2\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e\u003cp\u003eR3\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e\u003cp\u003eTotal\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c10\"\u003e\u003cp\u003eWord\u003c/p\u003e\u003cp\u003eFreq\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCollocate\u003c/p\u003e\u003cp\u003eFreq\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c12\"\u003e\u003cp\u003eMI\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c13\"\u003e\u003cp\u003eLL2\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003estorage\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e54\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e68\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e111\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e489\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e6.998\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e578.506\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003estorage\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e54\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e68\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e489\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e111\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e6.998\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e534.494\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003erenewable\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e46\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e54\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e75\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e489\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e7.231\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e488.02\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003erenewable\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e46\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e54\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e489\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e75\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e7.231\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e440.119\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003esustainable\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e54\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e57\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e133\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e489\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e6.482\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e427.881\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003esustainable\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e54\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e57\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e489\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e133\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e6.482\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e406.258\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003egeneration\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e28\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e36\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e78\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e489\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e6.589\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e277.242\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eand\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e18\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e35\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e18\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e27\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e114\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e489\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e3298\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e2.85\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e275.99\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003econsumption\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e30\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e37\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e89\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e489\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e6.438\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e274.848\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eproducts\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e17\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e26\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e44\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e194\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e489\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e5.564\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e263.666\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003egeneration\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e28\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e36\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e489\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e78\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e6.589\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e260.249\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003econsumption\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e30\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e37\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e489\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e89\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e6.438\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e259.899\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eproducts\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e26\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e17\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e44\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e489\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e194\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e5.564\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e257.169\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eand\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e27\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e18\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e35\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e18\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e114\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e3298\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e489\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e2.85\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e257.005\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eof\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e21\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e42\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e11\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e92\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e489\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e2490\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e2.946\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e229.886\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eof\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e11\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e42\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e21\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e92\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e2490\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e489\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e2.946\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e218.242\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003esolar\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e8\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e33\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e160\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e489\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e5.427\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e190.823\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eefficiency\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e26\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e67\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e489\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e6.339\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e188.599\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eto\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e18\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e41\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e17\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e87\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e489\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e2857\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e2.667\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e187.014\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eenergy\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003esolar\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e8\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e33\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e489\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e\u003cp\u003e160\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e\u003cp\u003e5.427\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e\u003cp\u003e185.984\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eOur analysis reveals fundamental differences in the conceptual positioning of the two companies. BYD employs an application-driven strategy that closely integrates transportation with energy systems (see Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e). This is evidenced by the significantly high log-likelihood value (LL2 = 668.2) for its “vehicles + energy” collocation compared to Tesla. This highlights not only BYD’s core identity as a NEV manufacturer but also its alignment with China’s national NEV policy. Additionally, BYD’s fixed collocation “new + energy” (MI = 7.047) perpetuates the “new and old kinetic energy conversion” discourse prevalent in Chinese industrial policy, reflecting its orientation toward incremental innovation.\u003c/p\u003e\u003cp\u003eIn contrast, Tesla pursues a strategy of energy system reconstruction, focusing on energy production through collocations like “generation + energy” (MI = 6.589) and “solar + energy” (MI = 5.427) (see Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e). Thes constructs emphasise a closed-loop ecosystem encompassing photovoltaics, energy storage, and electricity consumption. Tesla also constructs a technologically infused vision of sustainability through the exclusive collocation “sustainable + energy” (MI = 6.482), framing itself as a catalyst for zero-carbon transformation.\u003c/p\u003e\u003cp\u003eA second difference emerges in grammatical preferences. BYD tends to use compound noun structures(e.g., symmetrical “energy storage” and “storage energy”, both MI = 8.179) (see Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e). This structure demonstrates BYD’s standardisation in technical terminology and its expertise in energy storage technology. Tesla, in contrast, employs dynamic process-oriented language, with collocations like “energy generation” (MI = 6.589) and “energy consumption” (MI = 6.438) to articulate an integrated energy flow value chain from production to usage (see Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e). This grammatical strategy highlights Tesla’s technical proficiency in energy management and systemic control.\u003c/p\u003e\u003cp\u003eDespite the aforementioned differences, key commonalities exist in the two companies’ CSR reports. First, both companies prioritise energy storage technology, evidenced by the robust “storage + energy” collocation (BYD MI = 8.179 ,Tesla MI = 6.998), confirming power batteries as a technological frontier in the electric vehicle industry. Second, both demonstrate significant demand for energy efficiency management, reflected in the strong “consumption + energy” association (BYD MI = 7.145, Tesla MI = 6.438). This shared demand signals the industry’s technical response to energy performance challenges and underscores substantial R\u0026amp;D investments aimed at enhancing user experience and market competitiveness.\u003c/p\u003e\u003ch2\u003eSemantic domains of topics\u003c/h2\u003e\u003cp\u003eThe USAS (UCREL Semantic Annotation System) semantic domain classification system used by Wmatrix comprises 21 primary semantic domains, which are further divided into 232 sub-domains. By comparing the log-likelihood values of different semantic domains, we can determine which types of words are used more frequently by the two companies, thereby exploring the underlying value orientations they reflect.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\"+\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab6\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 6\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003e\u003cem\u003eBC Sematic Domains\u003c/em\u003e\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"7\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eItem\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003e01\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003e1%\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003e02\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003e2%\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003eLL\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u003cp\u003eLogRatio\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eZ99\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e5937\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e5.91\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e33466\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"+\" colname=\"c5\"\u003e\u003cp\u003e2.73+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e2508.77\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e1.11\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eI2.2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e1235\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1.23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2344\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"+\" colname=\"c5\"\u003e\u003cp\u003e0.19+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e2131.02\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e2.68\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eA5.1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e668\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.66\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e500\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"+\" colname=\"c5\"\u003e\u003cp\u003e0.04+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e1931.46\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e4.03\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eI2.1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e910\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.91\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1410\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"+\" colname=\"c5\"\u003e\u003cp\u003e0.11+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e1811.13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e2.98\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eS7.1+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e1549\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1.54\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e4732\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"+\" colname=\"c5\"\u003e\u003cp\u003e0.39+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e1722.95\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eM3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e890\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.89\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2656\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"+\" colname=\"c5\"\u003e\u003cp\u003e0.22+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e1016\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e2.03\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eO3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e393\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.39\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e450\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"+\" colname=\"c5\"\u003e\u003cp\u003e0.04+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e934.42\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e3.41\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eI4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e390\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.39\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e444\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"+\" colname=\"c5\"\u003e\u003cp\u003e0.04+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e930.11\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e3.42\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eS8+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e1243\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1.24\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e5450\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"+\" colname=\"c5\"\u003e\u003cp\u003e0.44+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e849.07\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e1.48\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eX5.2+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e600\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1481\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"+\" colname=\"c5\"\u003e\u003cp\u003e0.12+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e830.07\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e2.31\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eX4.2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e706\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2392\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"+\" colname=\"c5\"\u003e\u003cp\u003e0.19+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e695.05\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e1.85\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eG2.1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e677\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.67\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2396\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"+\" colname=\"c5\"\u003e\u003cp\u003e0.2+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e630.72\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e1.79\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eA1.1.1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e1841\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1.83\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e11347\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"+\" colname=\"c5\"\u003e\u003cp\u003e0.92+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e626.88\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0.99\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eA5.1+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e728\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.72\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2923\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"+\" colname=\"c5\"\u003e\u003cp\u003e0.24+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e569.87\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e1.6\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eI3.1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e834\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.83\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e3762\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"+\" colname=\"c5\"\u003e\u003cp\u003e0.31+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e543.56\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e1.44\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eA15+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e252\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.25\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e353\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"+\" colname=\"c5\"\u003e\u003cp\u003e0.03+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e534.44\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e3.12\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eX2.4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e678\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.67\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2928\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"+\" colname=\"c5\"\u003e\u003cp\u003e0.24+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e474.59\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e1.5\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eY1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e311\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.31\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e721\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"+\" colname=\"c5\"\u003e\u003cp\u003e0.06+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e455.49\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e2.4\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eT3-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e574\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.57\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2383\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"+\" colname=\"c5\"\u003e\u003cp\u003e0.19+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e427.34\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e1.56\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eW5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e227\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e454\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\"+\" colname=\"c5\"\u003e\u003cp\u003e0.04+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e376.16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e2.61\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab7\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 7\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003e\u003cem\u003eTC Sematic Domains\u003c/em\u003e\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"7\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eItem\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003e01\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003e1%\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003e02\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003e2%\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003eLL\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u003cp\u003eLogRatio\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eZ99\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e5457\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e5.35\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e33466\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e2.73+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e1809.65\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e0.97\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eM3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e1176\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1.15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2656\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.22+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e1736.48\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e2.41\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eO3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e564\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.55\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e450\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.04+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e1574.69\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e3.91\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eI2.2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e930\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.91\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2344\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.19+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e1241.7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e2.25\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eA9-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e1113\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1.09\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e3786\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.31+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e1068.73\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e1.82\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eO1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e464\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.45\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e643\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.05+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e979.4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e3.12\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eI4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e403\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e444\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.04+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e967.78\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e3.45\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eA1.5.1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e710\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1761\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.14+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e962.6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e2.28\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eX5.2+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e630\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.62\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1481\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.12+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e897.63\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e2.36\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eA2.2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e1109\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1.09\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e5190\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.42+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e660.11\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e1.36\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eA15+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e286\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.28\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e353\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.03+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e645.95\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e3.28\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eI2.1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e508\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1410\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.11+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e615.87\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e2.12\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eA1.1.1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e1812\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1.78\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e11347\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.92+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e568.18\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e0.94\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eX2.2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e303\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e529\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.04+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e548.92\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e2.78\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eI3.1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e824\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.81\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e3762\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.31+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e512.33\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e1.4\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eN3.3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e340\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.33\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e833\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.07+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e466.33\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e2.3\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eW5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e254\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.25\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e454\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.04+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e452.37\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e2.75\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eI1.3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e310\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e738\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.06+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e436.65\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e2.34\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eO2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e1062\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1.04\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e6044\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.49+\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e423.9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e1.08\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eT2++\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e\u003cp\u003e561\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0.55\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2521\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.21\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e358.44\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e1.42\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab6\" class=\"InternalRef\"\u003e6\u003c/span\u003e and Table\u0026nbsp;\u003cspan refid=\"Tab7\" class=\"InternalRef\"\u003e7\u003c/span\u003e show the semantic domains in BYD and Tesla corpus respectively. They illustrate that the primary difference between the two companies is the discourse system construction. Firstly, there is a difference in the focus of value creation. BYD’s “industrialised system thinking” places great emphasis on the integrity of the manufacturing system (see Table\u0026nbsp;\u003cspan refid=\"Tab6\" class=\"InternalRef\"\u003e6\u003c/span\u003e). For example, I2.2 (industrial processes) LL = 2131.02 and A5.1 (quality assessment) LL = 1931.46 reflect the advantage of vertical integration in manufacturing (such as the full industry chain from batteries to vehicles to semiconductors). There is also its policy response mechanism, with S7.1+ (institutional norms) LL = 1722.95 forming an intertextuality with the previous high-frequency word “regulations,” highlighting the company-government relationship in corporate operations. In contrast, Tesla’s “technology market orientation” focuses on extending product experience, with M3 (mobility) LL = 1736.48 and O3 (business activities) LL = 1574.69 underscoring the reconstruction of the user experience (such as the direct sales model + Supercharger network) (see Table\u0026nbsp;\u003cspan refid=\"Tab7\" class=\"InternalRef\"\u003e7\u003c/span\u003e). It also actively innovates symbolic capital, using A9- (technical concepts) LL = 1068.73 to form semantic resonance with “Gigafactory,” attempting to build a technologically religious brand worship.\u003c/p\u003e\u003cp\u003eThe second difference can be seen in the temporal orientation. BYD mainly uses “current commitment,” with A15+ (certainty) effect size 3.12 / S8+ (obligation) LL = 849.07, demonstrating adherence to the existing responsibility framework (such as ESG compliance). Tesla, on the other hand, mainly uses “future tense,” with O1 (possibility) effect size 3.12/X2.2 (prediction) LL = 548.92, attempting to shape industry discourse through technological prophecy.\u003c/p\u003e\u003cp\u003eThe common features of the two companies’ CSR reports can be ascribed to the underlying principle of the NEV industry. That is, both companies attach importance to technological progress, with high significance in I4 (BYD LL = 930.11 vs Tesla LL = 967.78), suggesting the continuous R\u0026amp;D investment pressure in the new energy vehicle industry. There is also the tension of globalisation, with X5.2+ (international relations) entering the top 10 semantic domains for both companies, mirroring the geopolitical competition behind the new energy vehicles in China and the United States.\u003c/p\u003e\u003ch2\u003eDiscourse representation\u003c/h2\u003e\u003cp\u003eAs the pronoun “we” is the personal pronoun with the greatest difference in frequency of occurrence between the two companies’ CSR reports, this word is selected for the analysis of the discourse part. We counted the frequency of occurrences of the pronoun “we” to determine the number of times the speaker appears and use this to distinguish between direct and indirect quotations for discourse representation.\u003c/p\u003e\u003cp\u003eFigures \u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e and \u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e reveal a marked difference in referential strategies between the two companies. BYD predominantly utilises third-person nominal references (“company”, “China”), reflecting institutional depersonalisation. Differently, Tesla uses the first-person pronoun (“we”, “our) and strategic self-naming (“Tesla”) with greater frequency than BYD, constructing explicit discursive subjectivity. In terms of grammatical position, BYD’s referents frequently occupy object or attributive positions within passive constructions, while Tesla’s consistently function as subjects in active clauses. This contrast generates distinct discursive effects. That is, BYD positions itself as a regulatory-compliant entity embedded within broader socio-institutional frameworks, emphasizing that the enterprise is a key node in the social system, whereas Tesla actively constructs an agentic identity as a transformative technological leader, regarding the company as the main agent of change.\u003c/p\u003e\u003ch2\u003eDiscourse presupposition\u003c/h2\u003e\u003cp\u003eWith respect to discourse presupposition, we selected statements with strong value or propositional nature from the CSR reports for analysis and inferred how BYD and Tesla positioned their own companies, as well as how these presuppositions influenced stakeholders.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eExample 1\u003c/strong\u003e\u003c/p\u003e\u003cp\u003eCarving a path from independent innovation to comprehensive opening-up innovation, BYD continues to lead the accelerated reform of new energy vehicles. (BYD CSR 2023, Page 6)\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eThis statement presupposes BYD’s ability of autonomous innovation and industry leadership. This presupposition trigged by the phrase “from independent innovation” implies that BYD itself possesses intrinsic capabilities for self-directed technological advancement rather than reliance on external innovation sources. Such capabilities include potential for independent exploration and breakthroughs across R \u0026amp; D, product design, and business model development. The construction also presupposes BYD’s positional authority to direct changes within the new energy vehicle sector. This discursive strategy guides the public to recognise BYD not just as an industry participant but as an institution influencing to shape the field’s development trajectory.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eExample 2\u003c/strong\u003e\u003c/p\u003e\u003cp\u003eOur mission is to accelerate the world’s transition to sustainable energy. Since Tesla’s inception, our goals have centred on the opportunities presented by the sustainable energy transition. (Tesla CSR 2023, Page 5)\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eThe first sentence explicitly articulates Tesla’s corporate mission, while pragmatically implying the company’s perceived responsibility and ability to promote the global application and advancement of sustainable energy. This discursive framing positions Tesla as a transformative agent integrating corporate growth with the global energy transition. The second sentence indicates Tesla’s foundational strategic orientation: focusing on various opportunities inherent within sustainable energy transition. Such opportunities cover technological innovation, market demand evolution and policy support, etc. This statement also suggests the operational translation of these macro-level opportunities into concrete business objectives and strategic initiatives. This means that the company takes sustainable energy transition as the key consideration in decision-making, resource allocation, and market expansion.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eExample 3\u003c/strong\u003e\u003c/p\u003e\u003cp\u003eTo perfect the development pathway for skilled personnel, BYD has established a mentorship training and skill level accreditation system to build an internal supply chain of skilled personnel. (BYD CSR 2022, Page 52)\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eThe sentence above constructs BYD’s strategic framework through two key metaphors: the “development pathway” and “internal supply chain”. The former uses the spatial metaphor of a “pathway” to conceptualise career development as a directional, upward route, employing symbolic attributes like “smoothness” and “orientation” to mitigate professional development uncertainties. The latter adapts manufacturing terminology to align the talent development system with supply chain management, establishing a closed-loop mechanism of “precise person-position matching.”\u003c/p\u003e\u003cp\u003eThrough conceptual integration of these metaphors, the discourse achieves dual objectives: (1) leveraging industrial scenarios familiar to employees to enhance cognitive accessibility of the accreditation system, and (2) appropriating supply chain precision constructs to reinforce the professional identity of corporate management. This metaphorical blending operationalises organisational processes through domain-specific cognitive frames.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eExample 4\u003c/strong\u003e\u003c/p\u003e\u003cp\u003eOur greatest asset is our people. We are committed to providing a workplace where our employees feel respected, satisfied and appreciated. (Tesla CSR 2022, Page 101)\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eThe statements in Example \u003cspan refid=\"FPar4\" class=\"InternalRef\"\u003e4\u003c/span\u003e employ dual metaphorical constructions to frame organisational values. The asset metaphor (“Our greatest asset is our people”) presupposes employees as the primary carriers of the company’s strategic value. It emphasises their investable value creation while implying organisational irreplaceability. Concurrently, a spatial metaphor in the second statement constructs the workplace as a safe and nurturing environment, discursively preconfiguring the company’s commitment to systems that address employees’ emotional needs. Through conceptual integration of these metaphors, the discourse simultaneously operationalises rational management principles and embodies affective organisational care. This synthesis thereby projects a human-centric management philosophy while aligning employee agency with organisational goals.\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eThis study integrates Fairclough\u0026rsquo;s three-dimensional discourse analysis framework with corpus linguistics techniques to examine CSR reports from leading Chinese and US NEV enterprises\u0026mdash;BYD and Tesla. The analysis identifies similarities and differences in their corporate identity discourse construction, thereby enriching research on corporate identity within the NEV sector.\u003c/p\u003e\u003cp\u003eBoth companies construct their corporate identity through common themes aligned with core industry imperatives. They frequently use the term \u0026ldquo;energy\u0026rdquo; to highlight the importance of energy transformation. Both emphasise research and development investment. Moreover, the two companies\u0026rsquo; CSR reports highlight strengthening supplier management, global operational footprints, and safety protocols. They underscore the alignment with the ESG framework, including environmental responsibility (e.g., quantifying carbon reduction targets, highlighting clean technologies) and social responsibility (e.g., safeguarding employee rights and interests, engaging in philanthropy).This finding corroborates that of Fuoli (2018)\u0026rsquo;s study that companies mainly showcase their integrity and benevolence through CSR reports.\u003c/p\u003e\u003cp\u003eDespite the commonalities, distinct discursive strategies reflect differing corporate priorities and contexts. BYD emphasises its policy compliance and localised operation. Frequent terms like \u0026ldquo;regulations\u0026rdquo; and \u0026ldquo;procurement\u0026rdquo; reinforce a strong regional (\u0026ldquo;China\u0026rdquo;) identity. Specific temporal references (e.g., \u0026ldquo;2022\u0026rdquo;) strategically align corporate progress with national policy cycles, notably the mid-term evaluation of China\u0026rsquo;s 14th Five-Year Plan\u003csup\u003e1\u003c/sup\u003e and dual-carbon goals. The discourse prioritises systematic manufacturing management, vertical integration, quality control, employee welfare, and social inclusiveness. Consequently, BYD constructs its identity through narratives of policy adherence, systematic manufacturing excellence, and government-enterprise collaboration.\u003c/p\u003e\u003cp\u003eTesla focuses on technological innovation and clean energy leadership. The discourse continuously highlights technological disruptiveness and environmental commitment, exemplified by setting specific quantitative \u0026ldquo;GHG\u0026rdquo; (greenhouse gas) and supply chain emission targets by 2030. Terms like \u0026ldquo;battery\u0026rdquo;, \u0026ldquo;solar\u0026rdquo; and \u0026ldquo;model\u0026rdquo; alongside the linkage of \u0026ldquo;supply chain\u0026rdquo; and \u0026ldquo;gigafactory\u0026rdquo; emphasise global leadership and capital-intensive production. Extensive use of first-person narrative (\u0026ldquo;we\u0026rdquo;) reinforces brand subjectivity and standard-setting authority. Tesla thus builds its identity around technological leadership, a clean energy mission, and strong brand recognition.\u003c/p\u003e\u003cp\u003eThe contrasting identity discourse stems from fundamental differences in industrial models, government-enterprise relations, and value systems. Regarding industrial model, BYD\u0026rsquo;s high-frequency terms (\u0026ldquo;procurement\u0026rdquo;, \u0026ldquo;regulations\u0026rdquo;, \u0026ldquo;system\u0026rdquo;) reflect a policy-driven, scale-economy model focusing on cost control (Wang et al., \u003cspan citationid=\"CR60\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). This aligns with China\u0026rsquo;s NEV industry reliance on subsidies, the dual-credit system, and vertically integrated production (e.g., \u0026gt;\u0026thinsp;70% integration rate) to reduce marginal costs. Its discourse balances policy utilisation with scaled production imperatives, evident in strategic temporal markers like \u0026ldquo;2022\u0026rdquo; echoing the 14th Five-Year Plan\u0026rsquo;s NEV penetration target (General Office of the State Council, \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). Tesla\u0026rsquo;s keywords (\u0026ldquo;battery\u0026rdquo;, \u0026ldquo;solar\u0026rdquo;, \u0026ldquo;model\u0026rdquo;) indicate an innovation-driven model employing product differentiation and premium pricing. This corresponds to the US context of indirect support (e.g., tax credits like the IRA Act) and reliance on technological barriers for market valuation (Slowik et al., \u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). Its asset-light strategy (e.g., outsourcing batteries) prioritises software and brand value, resulting in discourse centring on technology commodification narratives, such as branding the 4680 battery as an \u0026ldquo;industry disruptor\u0026rdquo;(Naor, \u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e2022\u003c/span\u003e) and \u0026ldquo;gigafactory (super factory)\u0026rdquo; as a symbol of capital aggregation (Cooke, \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). This result corroborates Li (\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2022\u003c/span\u003e)\u0026rsquo;s finding that underlying behind these identities are capitalism ideology and power dominance.\u003c/p\u003e\u003cp\u003eThe differences in the identity discourse are also due to the differing government-enterprise relationship. BYD\u0026rsquo;s discourse (\u0026ldquo;China\u0026rdquo;, \u0026ldquo;responsibility\u0026rdquo;, \u0026ldquo;development\u0026rdquo;) positions the company as a national agent fulfilling political missions tied to China\u0026rsquo;s dual-carbon goals (carbon neutrality and carbon peaking by 2030) (General Office of the State Council, \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). High government procurement dependence (e.g., \u0026gt;\u0026thinsp;15% for electric buses, especially in terms of taxes) (Mao et al., \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e2023\u003c/span\u003e) and export strategies (e.g., Belt and Road focus) (Cao et al., \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2018\u003c/span\u003e) reinforce an identity rooted in institutional commitments like \u0026ldquo;serving the national energy strategy\u0026rdquo;. Differently, Tesla functions more as a regulatory challenger, engaging in technical standard disputes with the US government. Actions like rapidly increasing Shanghai factory localisation (95% in 2023) to circumvent regulations (Wu, \u003cspan citationid=\"CR61\" class=\"CitationRef\"\u003e2025\u003c/span\u003e) and dominating the North American Charging Standard (Magolan, \u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e2025\u003c/span\u003e) inform a discourse featuring deregulation narratives, such as \u0026ldquo;we redefine mobility\u0026rdquo;.\u003c/p\u003e\u003cp\u003eThe differences may be attributed to the differences in value identification. This finding supports Geng et al. (\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e2022\u003c/span\u003e)\u0026rsquo;s study that Chinese and American enterprises prioritise different values, implying differing ideologies behind these values. For instance, BYD\u0026rsquo;s keywords (\u0026ldquo;people\u0026rdquo;, \u0026ldquo;employees\u0026rdquo;, \u0026ldquo;service\u0026rdquo;) reflect collectivist values and a social contract narrative, influenced by traditional Confucian ideals such as \u0026ldquo;benefiting all under heaven\u0026rdquo;. This manifests in significant social investments (e.g., around 300\u0026nbsp;million yuan/year in charity focusing on education poverty alleviation) (Xu et al., \u003cspan citationid=\"CR64\" class=\"CitationRef\"\u003e2025\u003c/span\u003e) and large employee incentive schemes within the \u0026ldquo;common prosperity\u0026rdquo; context (e.g., 1.8-billion-yuan stock plan) (Luo, \u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). Its discourse emphasises community building (e.g., \u0026ldquo;growing together with supply chain partners\u0026rdquo;) and institutional obligations (e.g., carbon quota commitments). Tesla\u0026rsquo;s discourse blends technological individualism and Silicon Valley-influenced elitism. The strong association with CEO Elon Musk\u0026rsquo;s personal brand (Ehrhardt et al., \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2023\u003c/span\u003e) and incorporation of geek culture symbols (e.g., Cybertruck\u0026rsquo; s disruptive design) (Berry, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2023\u003c/span\u003e) cultivate a narrative of technological supremacism, positioning Tesla as a \u0026ldquo;saviour\u0026rdquo; accelerating the sustainable energy transition. In addition, strategic use of \u0026ldquo;we\u0026rdquo; fosters brand identification and user loyalty.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThe comparative analysis reveals how BYD and Tesla employ distinct discursive strategies rooted in their respective institutional environments, economic models, and cultural values to construct unique corporate identities within the global NEV landscape. In the \u0026ldquo;text\u0026rdquo; dimension, the two companies construct unique identities via distinct high frequency word and collocation strategies. BYD utilises high-frequency vocabulary such as \u0026ldquo;regulation\u0026rdquo; and \u0026ldquo;system\u0026rdquo; to construct an identity centring on compliance and rigorous operational management, while Tesla employs characteristic terms such as \u0026ldquo;battery\u0026rdquo; and \u0026ldquo;emissions\u0026rdquo; to foreground innovation and environmental commitment. In the \u0026ldquo;discourse practice\u0026rdquo; dimension, BYD predominantly adopts third-person narration and passive voice, positioning itself as an objective contributor within the industry ecosystem. Conversely, Tesla frequently utilises first-person narration (\u0026ldquo;we\u0026rdquo;) to actively assert its role as a technological innovator and articulate its mission in sustainable energy transition. In the \u0026ldquo;social practice\u0026rdquo; dimension, BYD\u0026rsquo;s discourse emphasises its policy-aligned, scale-driven economic model and responsiveness to national objectives, reflecting the responsibilities of a manufacturing leader. Tesla\u0026rsquo;s discourse reinforces its asset-light structure and brand premium, cultivating a high-end global image and strengthening its identity as a technological pioneer.\u003c/p\u003e\u003cp\u003eThe current study provides implications for stakeholders of enterprises to better understand and utilise CSR reports. Investors need to prioritise examining specific quantitative data and concrete examples within reports. The maturity and consistency of a company\u0026rsquo;s identity narrative signal strategic coherence. They also need to assess the presence of long-term plans addressing industry challenges, as those companies exhibiting robust risk resilience and sustained innovation capacity typically have greater growth potential. Consumers can use CSR reports as a more credible source than marketing communications to discern authentic corporate values and select aligned brands. Scrutinizing report details helps differentiate genuine responsibility and capability from superficial marketing narratives. For employees, it is better to focus on the sections of the report relating to employee training hours and promotion rates. Companies willing to disclose such information are more likely to prioritise employee development. Furthermore, developing specialised CSR reporting competencies represents a valuable skill for employees. Given the current scarcity of CSR report talent, proficiency in report writing can lead to higher compensation and more career opportunities. For enterprises, they are supposed to optimise CSR report writing. They can enhance clarity by replacing verbose text with data visualisations and featuring key environmental initiatives. They may also strategically employ identity-laden metaphors and labels (e.g., \u0026ldquo;low-carbon pioneer\u0026rdquo;, \u0026ldquo;community-friendly neighbour\u0026rdquo;, \u0026ldquo;technology leader\u0026rdquo; shown in the reports) to subconsciously shape reader perception and strengthen desired positioning. These insights provide enterprises with actionable references to refine identity discourse, reinforce brand construction, and bolster market competitiveness.\u003c/p\u003e\u003cp\u003eDespite its contributions, the current study is not without any limitations. First of all, due to constraints in manpower, time, and research complexity, the current analysis failed to track the long-term (over 10 years) dynamic evolution of corporate identity discourse construction. Future research should expand the temporal scope to investigate dynamic changes in identity characteristics. Second, the study only focuses on text analysis. As CSR reports employ multimodal resources beyond text (e.g., images, infographics). subsequent studies could adopt multimodal analysis frameworks to examine these complementary elements.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003ch2\u003eCompeting interests\u003c/h2\u003e\u003cp\u003eThe authors declare that they have no conflicting interests.\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eEthical approval\u003c/strong\u003e\u003cp\u003eThis article does not contain any studies with human participants performed by any of the authors.\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eInformed consent\u003c/strong\u003e\u003cp\u003eThe study does not involve human participants or their data.\u003c/p\u003e\u003c/p\u003e\u003ch2\u003eFunding\u003c/h2\u003e\u003cp\u003eThe authors received no specific funding for this work.\u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eYuan Yao wrote the main manuscript text, and Ling Gan supervised the framework and analysed the data. Both authors reviewed and proofread the manuscript.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eAiezza MC (2015) We may face the risks\u0026rsquo; \u0026hellip; risks that could adversely affect our face.\u0026rsquo; A corpus-assisted discourse analysis of modality markers in CSR reports. Stud Commun Sci 15(1):68\u0026ndash;76. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.scoms.2015.03.005\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\n\u003cli\u003eBakhtin MM, Holquist C (1981) M.). University of Texas, Austin\u003c/li\u003e\n\u003cli\u003eBenwell B, Stokoe E (2006) Discourse and identity. Edinburgh University, Edinburgh\u003c/li\u003e\n\u003cli\u003eBerry IS (2023) Mythologies of the EV truck: A semiotic analysis of the first mass-produced electric trucks in the United States. 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Environ Dev Sustain 27:609\u0026ndash;624\u0026nbsp;\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/s10668-024-05394-8\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Footnotes","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003e China\u0026rsquo;s five-year plans refer to a series of initiatives to guide the country\u0026rsquo;s social and economic development. The 14th Five-Year Plan, covering the years from 2021 to 2025, highlights innovation-driven growth, low-carbon development, and the integration of urban and rural areas.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"corporate social responsibility reports, corporate identity, corpus-based analysis, critical discourse analysis, new energy vehicle, BYD, Tesla","lastPublishedDoi":"10.21203/rs.3.rs-7347669/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7347669/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe study presents a corpus-based analysis on the corporate social responsibility(CSR) reports of BYD and Tesla from 2019 to 2023. It explores the two companies\u0026rsquo; identity construction based on Fairclough\u0026rsquo;s three-dimensional model, considering discursive strategies and socio-economic policies. The study shows that in the textual dimension, BYD constructs itself as a compliant and rigorous manager, while Tesla highlights itself to be an innovator and environmentalist. In the discursive practice dimension, BYD adopts third person and passive voices to stress its role as an objective industry contributor. Conversely, Tesla often uses the first person to actively portray itself as a tech innovation leader and convey its mission in sustainable energy. In the social practice dimension, BYD focuses on its policy-oriented scaled economy and responsiveness to national policies, taking on its manufacturing giant\u0026rsquo;s responsibility. Tesla, in contrast, centring on a light-asset model and brand premium, builds a high-end global brand image and strengthens its identity as a technology pioneer. The identity construction strategies of BYD and Tesla reveal their unique corporate culture and reflect the differences in development patterns and social values between Chinese and Western enterprises. These strategies offer insights into the global growth of the new energy vehicle industry.\u003c/p\u003e","manuscriptTitle":"A corpus-based critical discourse analysis of identity construction in CSR reports of China and USA new energy vehicle companies: A case of BYD and Tesla","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-08-27 07:08:12","doi":"10.21203/rs.3.rs-7347669/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"b712d342-47d6-4c8d-982a-2263fc346671","owner":[],"postedDate":"August 27th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":53357900,"name":"Business and commerce/Business and management"},{"id":53357901,"name":"Social science/Business and management"},{"id":53357902,"name":"Physical sciences/Mathematics and computing"}],"tags":[],"updatedAt":"2025-11-23T16:23:36+00:00","versionOfRecord":[],"versionCreatedAt":"2025-08-27 07:08:12","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7347669","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7347669","identity":"rs-7347669","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}