ESG Integration in Corporate Governance: A Comparative Study of Practices in Emerging Markets

ESG Integration in Corporate Governance: A Comparative Study of Practices in Emerging Markets | 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 Research Article ESG Integration in Corporate Governance: A Comparative Study of Practices in Emerging Markets Arthur William Fodouop Kouam This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5495641/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 This study investigates integrating environmental, social, and governance (ESG) factors into corporate governance practices among companies in emerging markets. Despite the growing global importance of ESG considerations, significant gaps remain in understanding how these practices are adopted within the unique contexts of these economies. The study uses a quantitative research paradigm to analyze data from a sample of 250 companies across diverse sectors, including finance, manufacturing, energy, and technology. To establish a robust empirical foundation, data is sourced from reliable secondary materials, specifically corporate disclosures, industry reports, and financial databases. Employing Ordinary Least Squares (OLS) regression analysis, the study explores the impacts of governance practices, drivers, and barriers on ESG integration, effectively capturing the complexities of these interactions. The research identifies several effective ESG integration practices, including structured policies, comprehensive stakeholder engagement, and transparent reporting mechanisms. Critical drivers for integration include solid regulatory support, active stakeholder influence, and rising market demand for sustainability. Conversely, significant barriers to effective ESG integration include weak regulatory frameworks, cultural resistance, and a lack of high-quality ESG data. Notably, regional disparities emerged, with Asian firms exhibiting superior ESG integration compared to those in Eastern Europe, underscoring the importance of localized economic and regulatory conditions. This research contributes to the literature by comprehensively analyzing ESG integration practices in emerging markets. It emphasizes the need for tailored strategies that account for contextual factors, thus offering valuable insights for corporate leaders navigating sustainability in dynamic environments. Barriers Corporate Governance Drivers Emerging Markets ESG Integration Integration Practices Figures Figure 1 1. Introduction In recent years, there has been an increasing emphasis on integrating environmental, social, and governance (ESG) factors in corporate governance practices worldwide. El Hazbi and Mounir (2023) found that ESG practices can enhance environmental performance, with technological innovation playing a vital role in this relationship. Rakshit and Paul (2022) emphasized the importance of ESG factors in addressing environmental and social issues, particularly in the context of the COVID-19 pandemic. Shapsugova (2023) highlighted the challenges and opportunities in integrating ESG principles into corporate social responsibility strategies, including the need for harmonized reporting standards and comprehensive stakeholder engagement. Ab Aziz et al. (2023) conducted a systematic review, underscoring the significance of ESG factors in influencing corporate strategies, policies, and board composition and calling for incorporating corporate governance principles into ESG practices. While developed markets have significantly incorporated ESG considerations into their governance frameworks, emerging markets are still catching up. Implementing ESG investment in emerging markets, particularly in the Association of Southeast Asian Nations (ASEAN) countries, is still largely implicit and unsystematic (Korwatanasakul & Majoe, 2021). Despite this, ESG firms in these markets have been found to have higher profitability, indicating the potential benefits of ESG integration (Korwatanasakul & Majoe, 2021). Prior research endeavors have explored the relationship between ESG integration and corporate governance practices in developed and emerging markets. Kim and Li (2021) and Chen (2022) both find a positive impact of ESG factors on corporate financial performance, with corporate governance having a significant influence. Chouaibi et al. (2022) further support this, showing that ESG practices can increase firm value, with green innovation mediating this relationship. Huang (2021) consolidates these findings, indicating a positive but modest link between ESG performance and corporate financial performance. However, most of these studies have focused on developed economies (Siri & Zhu, 2024; Annesi et al., 2024; Ciocîrlan et al., 2024; Peng & Smith,2024; Mohy-ud-Din, 2024), leaving a gap in the literature regarding the practices in emerging markets. Additionally, the existing research often lacks a comparative analysis of ESG integration practices in different emerging economies (Elamer & Boulhaga, 2024; Kuznetsova et al., 2024; Moussa & Elmarzouky, 2024), which could provide valuable insights into the variations and similarities in their approaches. Limited research on ESG integration in corporate governance practices in emerging markets hinders a comprehensive understanding of the challenges and opportunities faced by companies in these regions. By thoroughly analyzing current practices and the factors influencing them, businesses operating in emerging economies can effectively integrate ESG considerations into their decision-making processes. This study addresses the following research question: How do companies in emerging markets incorporate ESG factors into their corporate governance practices, and what are the key drivers and barriers to ESG integration in these regions? The objectives of this research are to: · Identify the current ESG integration practices in selected emerging markets. · Explore the drivers and barriers influencing ESG integration in these markets. · Compare the ESG integration approaches and outcomes across different emerging economies. This study is significant as it contributes to the growing body of literature on ESG integration in corporate governance, particularly in the context of emerging markets. The urgent need for effective ESG integration in corporate governance within emerging markets cannot be overstated, especially considering the broader implications for sustainable development, economic resilience, and social equity (Aldowaish et al., 2022; Ab Aziz et al., 2023; Parfentieva, 2023). As global investors increasingly prioritize ESG factors in their investment decisions, a lack of understanding and application of these principles in emerging markets poses a risk to the companies within these regions and their economies and societies. This research aims to bridge the gap in the existing literature by providing a comprehensive comparative analysis of ESG integration practices. Such an analysis will enhance the theoretical framework surrounding corporate governance and ESG in emerging markets and offer practical recommendations for companies, regulators, and policymakers. In doing so, it seeks to empower businesses to navigate the complex landscape of ESG considerations, ultimately leading to improved corporate transparency, accountability, and long-term sustainability in these evolving market contexts. The remainder of this paper is structured as follows: Sections three and four offer the study conceptual and theoretical frameworks. The subsequent section provides a literature review on ESG integration in corporate governance and suggests hypotheses. Subsequently, the methodology and empirical model section outlines this study’s research paradigm and design, data collection, and analysis methods. The research findings are presented in the subsequent section, followed by a discussion of the results and their implications. The paper highlights the main results, the study's contributions, shortcomings, and avenues for exploration. 2. Conceptual model The conceptual framework proposed for this study delineates the interplay between ESG integration practices, corporate governance structures, contextual factors specific to emerging markets, and associated outcomes. This framework provides a systematic approach to understanding how corporate governance influences the incorporation of ESG factors in companies operating within emerging economies. It comprises four primary components: ESG integration practices, corporate governance structures, contextual factors, and outcomes of ESG integration. 2.1. ESG integration practices ESG integration practices refer to companies' methods and strategies to incorporate environmental, social, and governance considerations into their corporate governance frameworks (Ab Aziz et al., 2023). As Kurtz (2020) suggests, ESG integration in finance involves incorporating environmental, social, and governance factors into investment processes and business models. It encompasses three main activities: aligning portfolios with client values, integrating ESG factors for financial materiality, and engaging with corporate management for impact. This integration may include policies on sustainability reporting, stakeholder engagement, and ethical considerations in decision-making. Research suggests that robust ESG practices enhance corporate reputation and are associated with improved financial performance (Korwatanasakul & Majoe, 2021). A comprehensive second-order meta-analysis of one million observations reveals a highly significant, positive, and bilateral Corporate social performance (CSP) and corporate financial performance (CFP) relation (Busch & Friede, 2018). Specifically, environmental and governance practices positively affect ROA, share prices, and free cash flows, while social practices positively impact share prices (Okpa et al., 2019). Critical attributes of ESG integration practices include: · Policy framework: The existence of formal policies that articulate the company's commitment to ESG principles (Shapsugova, 2023; Mupa et al., 2024). · Stakeholder engagement: Mechanisms for involving stakeholders, such as investors, employees, and communities, in the decision-making process regarding ESG strategies (Rendtorff, 2023; Dasinapa, 2024; Sun, 2024). · Reporting and transparency: The extent to which ESG-related information is disclosed to stakeholders is influenced by regulatory and market pressures (Dasinapa, 2024; Kandpa et al., 2024; Sun, 2024). These elements highlight how ESG practices can shape corporate governance in emerging markets. 2.2. Corporate governance structures Corporate governance structures encompass the systems, processes, and principles governing companies' operations, including board composition, leadership roles, committees, and accountability mechanisms (Shapsugova, 2023). It encompasses the structures, processes, and mechanisms guiding and controlling corporations (Chanakya, 2023). Moreover, corporate governance involves directing and controlling companies through established structures and processes (Andrés et al., 2013). While various definitions exist, there is no universally accepted concept of corporate governance, likely due to unresolved ontological issues (Crow & Lockhart, 2015). Good corporate governance enhances company efficiency, improves access to capital, mitigates risks, and promotes accountability and transparency (Andrés et al., 2013). It also contributes to economic development by encouraging new investments and creating employment opportunities (Andrés et al., 2013). Strong governance structures are essential for effective ESG integration, as they establish clear responsibilities and promote ethical behavior. Critical aspects of corporate governance structures include: · Board composition: The diversity and expertise of the board members about ESG issues and whether independent directors are present to enhance oversight (Moridu, 2023; Usman & Yahaya, 2023). · Committees: There are dedicated committees (e.g., ESG or sustainability committees) focused on integrating ESG into the corporate strategy (Mardawi et al., 2024; Nour et al., 2024). · Accountability mechanisms: The systems in place to hold the organization accountable for ESG performance, such as performance metrics and incentives linked to ESG outcomes (Usman & Yahaya, 2023). These factors demonstrate how corporate governance influences the efficacy of ESG integration practices in emerging markets. 2.3. Contextual factors Contextual factors refer to companies' conditions and challenges in emerging markets that influence their ESG practices and governance structures. These factors vary widely based on regional economic, social, and regulatory environments. For instance, the European Union has set minimum mandatory thresholds for environmental protection, climate change, and social responsibility, aiming to unify rules across member states (Stamelos, 2023). Additionally, various legal approaches promote corporate environmental responsibility, including voluntary initiatives, mandatory reporting, consumer protection laws, due diligence requirements, and corporate liability laws (Maalouf, 2024). Vital contextual factors include: · Regulatory environment: The legal frameworks and regulations governing corporate behavior related to ESG practices can encourage or hinder effective integration. · Economic dynamics: Economic performance, market maturity, and access to capital in emerging markets influence firms’ capacities to adopt ESG strategies. GDP growth negatively impacts ESG performance in emerging markets, while common-law countries show higher ESG scores (Ungphakorn, 2024). · Cultural norms: Societal values and cultural expectations concerning corporate responsibility can shape stakeholder pressures for ESG integration. Cultural dimensions like individualism, long-term orientation, masculinity, uncertainty avoidance, and power distance shape the relationship between ESG activities and corporate financing decisions (Lemma et al., 2022). These contextual factors establish the environment in which ESG integration occurs and significantly impact corporate behavior. 2.4. Outcomes of ESG integration The outcomes of effective ESG integration can manifest in several ways, including enhanced corporate reputation, improved financial performance, and greater stakeholder trust. Sherwood and Pollard (2018) argue that ESG integration has improved financial performance and risk management in emerging markets. These outcomes benefit individual companies and contribute positively to the economy and society. Key outcomes include: · Financial performance: The correlation between effective ESG strategies, increased profitability, and reduced risk over time (Kim & Li, 2021). · Stakeholder trust: Greater stakeholder engagement and trust improve relationships with investors, regulators, and the community. · Social and environmental impact: Measurable improvements in social and environmental metrics resulting from effective ESG practices, contributing to sustainable development. These outcomes highlight the benefits of incorporating ESG considerations into corporate governance frameworks. 2.5. Integration of components Integrating the components—ESG Integration Practices, Corporate Governance Structures, Contextual Factors, and Outcomes of ESG Integration—creates a cohesive framework that elucidates various influences on and results of ESG considerations in corporate governance. The governance structures and contextual factors unique to emerging markets significantly shape the ESG integration practices employed by firms. In turn, the outcomes of effective ESG integration are reflected in improved corporate performance and strengthened stakeholder relationships. This holistic perspective underscores the importance of analyzing these factors concurrently to understand better the full impact of ESG principles in emerging economies. The subsequent figure ( Fig. 1 ) is the study conceptual model. 3. Theoretical Framework: Resource Dependence Theory and Legitimacy Theory Resource Dependence Theory posits that organizations are not self-sufficient and rely on external resources to achieve their goals (Pfeffer et al., 1978). This dependence on external resources can lead enterprises to engage in practices that align with the expectations of key stakeholders, including investors, regulatory bodies, and consumers. In the context of ESG integration, companies operating in emerging markets may align their governance practices with ESG principles to attract investments and secure partnerships. For instance, the need for external funding may compel firms to adopt sustainable practices that are in line with global ESG norms, as investors increasingly prefer companies demonstrating commitment to environmental and social responsibilities (Dyck et al., 2017 ; Chernyshova, 2021 ). Moreover, the dynamics of resource acquisition can lead organizations to modify their behavior to enhance their appeal, thus influencing both corporate governance structures and sustainability efforts. Legitimacy Theory argues that organizations seek to ensure their operations are perceived as legitimate by their stakeholders, often by conforming to established norms and expectations (Suchman, 1995 ). This theory is particularly relevant in contexts where organizations face scrutiny or skepticism about their practices, especially regarding sustainability. Companies may engage in ESG initiatives and reporting not solely for intrinsic motivation but also to gain societal approval and mitigate reputational risks. In emerging markets, firms might undertake efforts to legitimize their practices in light of cultural and regulatory expectations, which can create pressure to comply with prevailing standards for sustainability reporting (Deegan, 2002). Recent studies have shown that organizations often use impression management techniques to maintain or enhance their legitimacy, particularly when public scrutiny increases (Brown & Jones, 2001). Several studies analyzed ESG integration in corporate governance through the lens of Resource Dependence Theory and Legitimacy Theory (Baporikar, 2024 ; Elamer & Boulhaga, 2024 ; Hossain et al., 2024 ; Derj et al., 2025 ). A systematic review identified legitimacy theory as one of the dominant frameworks for analyzing ESG disclosure (Del Gesso et al., 2024). The interplay between Resource Dependence Theory and Legitimacy Theory provides a nuanced understanding of how external pressures and the desire for organizational legitimacy shape ESG integration practices. Companies may adopt sustainability practices to align with institutional norms and secure essential resources and support from various stakeholders, reinforcing their governance structures to better respond to these demands. While these theories offer valuable insights into the relationship between ESG integration, corporate governance, and stakeholder pressures, they have limitations. Resource Dependence Theory may need to pay more attention to organizations' internal capabilities and motivations in their ESG efforts, while Legitimacy Theory may inadequately address the complexities of stakeholder relationships and the varying perceptions of legitimacy across different contexts. This study's theoretical framework combines Resource Dependence Theory and Legitimacy Theory to analyze the dynamics between ESG integration and corporate governance in emerging markets. By incorporating these two theories, the framework allows for a comprehensive examination of how external pressures and societal expectations interplay with organizational behaviors, thus providing insights into the factors driving ESG adoption and sustainability initiatives among enterprises. This integrated approach enhances our understanding of how firms can navigate the complexities of stakeholder relationships and institutional pressures to achieve legitimacy and sustainability. 4. Literature search and hypothesis construction 4.1. The relevance and benefits of ESG integration in corporate governance Integrating ESG principles into corporate governance has become increasingly relevant and beneficial for organizations. ESG integration can improve financial performance, enhance reputation, and reduce risks (Tchaikovsky, 2023 ). Corporate governance provides a framework for incorporating ESG principles into decision-making processes and organizational structures (Câmara, 2023 ). The interaction between corporate governance and ESG involves investors and investee companies and can create a cascade effect influencing the entire supply chain and community (Câmara, 2023 ). ESG integration enhances shareholder value, risk management, and organizational resilience (Butani & Laljani, 2024 ). Research has identified the importance of ESG factors in shaping corporate strategies, policies, and board composition (Ab Aziz et al., 2023 ). Incorporating ESG principles into corporate governance is crucial for a firm's sustainability and stakeholder trust, with implications for future research and policy development (Ab Aziz et al., 2023 ). Furthermore, studies have identified various corporate governance determinants affecting ESG outcomes, such as managerial ownership and directors' experience, while noting the need for more research in financial firms and diverse geographical contexts (Buchetti et al., 2022 ). Moreover, ESG initiatives have been shown to positively influence brand trust and customer engagement, with environmental factors having the most potent effect on brand trust, while social factors most strongly predict customer engagement (Tripopsakul & Puriwat, 2022 ). A comprehensive ESG strategy can enhance stakeholder relationships, investor confidence, and market competitiveness (Kulova & Nikolova-Alexieva, 2023 ). Integrating ESG factors into investment processes has implications for portfolio risk, and engagement with corporate management can positively affect financial and stock market performance (Kurtz, 2020 ). Furthermore, strong ESG performance yields favorable outcomes for all key stakeholders, improving corporate image and competitiveness (Tan, 2024 ). Hypothesis 1 Companies in emerging markets implementing comprehensive ESG integration strategies demonstrate enhanced financial performance compared to those with minimal ESG practices. 4.2. Challenges and barriers to ESG integration in emerging markets Research highlights significant challenges in integrating ESG factors into investment decision-making and corporate operations. Key barriers include a lack of high-quality ESG data, absence of clear standards, cultural or institutional obstacles, and insufficient understanding of ESG values among market participants (Eccles et al., 2017 ; Efimova, 2018 ; Friede, 2019 ; Wang, 2024 ). Regulatory uncertainty and perceived conflicts with fiduciary duty also hinder ESG integration (Wang, 2024 ; Eccles et al., 2017 ). In India, additional obstacles include weak regulatory frameworks and cultural barriers (Debnath & Chellasamy, 2024 ). To overcome these challenges, researchers suggest enhancing data transparency, strengthening education and training, and developing more explicit regulatory directives (Wang, 2024 ; Friede, 2019 ). Building partnerships between companies and stakeholders is also recommended to promote ESG integration (Debnath & Chellasamy, 2024 ). Additionally, in BRICS countries, banks play a crucial role in driving ESG engagement, adopting international sustainability frameworks and more robust regulatory approaches, and enhancing sustainability practices (Arun et al., 2022 ). Moreover, Odell and Ali ( 2016 ) argue that active ownership and engagement with management teams can drive operational improvements and enhance investor perceptions in these markets. Hypothesis 2 Emerging markets with weak regulatory frameworks and cultural obstacles exhibit lower levels of ESG integration in corporate governance than those with supportive conditions. 4.3. Comparative analysis of ESG integration practices across economies This comparative analysis of ESG integration practices across countries reveals significant variations in regulatory frameworks and adoption levels. Developed nations generally demonstrate more advanced ESG practices, while developing countries are in earlier stages of implementation (Singhania et al., 2023 ; Singhania & Saini, 2021 ). The study identifies four stages of ESG framework development, providing early-stage benchmarks for countries (Singhania et al., 2023 ). Regulatory approaches range from voluntary to mandatory, with countries employing different strategies to create demand for sustainable finance (Yakovlev & Glukhov, 2023 ). Moreover, Rehman et al. ( 2021 ) indicate that ESG-integrated indices in BRICS countries show significant integration with conventional indices, suggesting growing economic cooperation. ESG integration in emerging market equities has demonstrated the potential for higher returns and lower downside risk compared to non-ESG investments (Sherwood & Pollard, 2018 ). Research on ESG practices in emerging markets reveals complex dynamics. Multinational enterprises from developed markets tend to exhibit more irresponsible behavior in emerging markets, while those from emerging markets improve their practices in developed markets, particularly in governance (Anderson, 2021 ). Increased competition in emerging markets can negatively impact ESG practices, contrasting with findings from developed economies (Martins, 2022 ). Moreover, the opportunity to learn from successful ESG integration trajectories in specific markets can inform strategic decisions in less proactive regions. The concept of shared learning denotes how organizations in emerging economies can adopt and adapt successful ESG strategies that align with their specific cultural and regulatory environments (Chouaibi et al., 2022 ). Additionally, Orleans Reed et al. ( 2013 ) highlight how shared learning approaches in Asian cities helped build resilience to climate change by creating networks and fostering stakeholder engagement. In the corporate sector, Naik Raiker and Shirodkar ( 2023 ) demonstrate the congruence between sustainable and learning organizations, emphasizing the importance of ESG disclosures. Hypothesis 3 Differences in regional economic and regulatory conditions lead to significant variations in the ESG integration practices observed among emerging market companies. This literature review highlights the increasing relevance of ESG integration in corporate governance across economies, including emerging markets, while identifying significant challenges and the need for comparative analyses. Empirical evidence suggests robust ESG practices correlate with improved corporate performance and stakeholder trust. However, various barriers, including regulatory weaknesses and cultural dynamics, limit effective integration. A comprehensive understanding of these contexts allows for more tailored strategies that facilitate the adoption of ESG principles, thereby enhancing corporate governance amid the complexities faced by companies in emerging economies. 5. Methodology, data, and empirical model 5.1. Research paradigm and data source This study adopts a quantitative research paradigm that emphasizes statistical methodologies to analyze the integration of ESG factors within corporate governance in emerging markets (William, 2024b ). This research focuses solely on quantitative data and provides objective insights into the current practices, drivers, and barriers of ESG integration across various sectors. Data for this study was exclusively derived from reliable secondary sources to establish a robust foundation for empirical analysis. The specific data sources include: Industry reports: We analyze comprehensive reports from reputable organizations such as the World Bank, the International Finance Corporation (IFC), and the United Nations Development Programme (UNDP). These reports provide insights into the trends, challenges, and best practices related to ESG integration in emerging markets. Corporate disclosures: We examine publicly available sustainability reports, annual reports, and governance frameworks from selected companies in detail. These documents reveal the extent and effectiveness of their ESG integration efforts. Financial databases: Relevant financial data concerning companies’ performance and ESG ratings are gathered from established financial databases, specifically Bloomberg, MSCI ESG Research, and LSEG. This information is critical for assessing the relationship between ESG integration and financial outcomes. The target population for this study encompasses companies operating in selected emerging markets recognized for their engagement with ESG considerations. The selection criteria for the firms are as follows: Publicly available ESG data: Companies must have accessible information regarding their ESG-related activities and performance metrics available in their disclosures. Active ESG engagement: Firms should demonstrate a commitment to ESG initiatives, as evidenced by their corporate governance structures and practices. Comprehensive Governance and Financial Data: Companies must maintain detailed records on governance frameworks, financial performance, and relevant ESG metrics. Our study analyzes 250 companies from various industries, including finance, manufacturing, energy, and technology. This diverse sample enhances the breadth and generalizability of our findings concerning ESG integration practices in emerging economies. To ensure the reliability of the analysis, we implement rigorous screening processes to exclude firms lacking sufficient data, thereby maintaining the robustness of our dataset. 5.2. Research Model To analyze the factors influencing ESG integration in corporate governance and their impact, we employ a structured econometric model utilizing Ordinary Least Squares (OLS) regression analysis. The proposed model specifies dependent and independent variables that align with the research objectives outlined in our study. The research model can be expressed in the following equation: ESGIntegration i,t = β 0 + β 1 GovernancePractices i,t + β 2 Drivers i,t + β 3 Barriers i,t + β 4 Controls i,t + ε i,t Where: ESGIntegration i,t denotes the extent of ESG integration practices in the firm (i) at the time (t). GovernancePractices i,t captures the corporate governance attributes influencing ESG integration. Drivers i,t reflects the positive motivators for ESG engagement, such as regulatory incentives or market demand. Barriers i,t considers obstacles to ESG integration, like financial constraints or cultural resistance. Controls i,t denotes various control variables, including firm size, industry classification, and market presence. ε i,t is the error term associated with firm (i) at time (t). 5.4. Data Analysis Plan A multifaceted quantitative analysis plan addresses the research question and objectives. The specific methodologies include: Descriptive statistics: Initial descriptive analyses summarize critical characteristics of the sample, such as firm size, industry type, governance structures, and ESG performance metrics. It sets the foundation for understanding the context of the data. Exploratory factor analysis: Factor analysis is employed to identify the underlying dimensions of governance practices, drivers, and barriers influencing ESG integration, thus refining the measurement of constructs. Correlation analysis: We conduct correlation analyses (Pearson test) to examine relationships among the variables, particularly between ESG integration and the identified drivers and barriers. Regression analysis: The primary analysis engages OLS regression to investigate the effects of governance practices, drivers, and barriers on ESG integration. Each model incorporates control variables to isolate the effects of independent factors. Moderation analysis: To examine the interaction effects of drivers and barriers on ESG integration, hierarchical regression analysis is applied to explore how these variables influence the relationships with the dependent variable. 5.5. Sample description and data overview Table 1 Sample distribution by country Country Number of Companies Percentage of Sample (%) Brazil 30 12.0 India 40 16.0 South Africa 25 10.0 Mexico 30 12.0 Vietnam 25 10.0 Indonesia 30 12.0 Nigeria 30 12.0 Malaysia 20 8.0 Thailand 20 8.0 Other emerging markets 30 10.0 Total 250 100.0 Table 2 Definitions and measurement of main variables (Singhania & Saini, 2021 ; Martins, 2022 ; Singhania et al., 2023 ; Moussa & Elmarzouky, 2024 ) Variable Category Variable Symbol Definition Measurement Dependent Variables ESGIntegration The extent to which firms incorporate ESG factors into their governance practices. Composite score based on evaluation of ESG practices, transparency, stakeholder engagement, governance frameworks, and disclosure quality. Scored on a scale of 1–10, with higher scores indicating greater integration. Independent Variables GovernancePractices Characteristics of corporate governance impacting ESG integration. Measured through metrics such as board diversity (percentage of independent directors), existence of ESG committees (binary: Yes/No), and quality of ESG reporting (assessed via a scoring system based on standard criteria). Moderating Variables Drivers Factors that promote and encourage ESG integration in firms. Composite index that includes regulatory pressures, market demand for sustainability, and stakeholder expectations. Each sub-variable is rated on a scale from 1 to 5, with higher scores indicating more significant influence. Barriers Obstacles that hinder effective ESG integration in governance. A composite index that quantifies challenges such as financial constraints, lack of expertise, and cultural resistance. Each sub-variable is rated on a scale from 1 to 5, with higher scores representing greater barriers. Control Variables Size The scale of the firm, influencing its capacity to integrate ESG. Natural log of total assets, providing a continuous measure of firm size. Industry The sector in which the firm operates, affecting ESG integration practices. Categorical variable indicating the industry classification (finance, manufacturing, energy, and technology). MarketPresence The extent of a firm's operations in different regions and its market longevity. Number of countries of operation and years in business, indicating the firm's footprint and experience. This table concisely overviews each variable's definitions and measurement techniques. 6. Results This section presents the study's empirical findings on integrating ESG factors into corporate governance practices in emerging markets. The analysis covers descriptive statistics, exploratory factor analysis, correlation analysis, regression analysis, moderation analysis, and hypothesis testing. Each subsection provides detailed interpretations of the findings, including tests for the study hypotheses. Furthermore, robustness tests are conducted to strengthen our results. 6.1. Descriptive statistics Table 3 Descriptive statistics of the sample Variable Mean Median Standard Deviation Minimum Maximum ESG Integration Score 6.74 7.00 1.24 2.00 9.50 Financial Performance (ROA) 8.50% 8.00% 3.15% 2.00% 15.00% Firm Size (log of total assets) 8.17 8.03 1.18 5.00 11.50 Years of Operation 15.60 14.00 10.20 1 50 Number of Countries 3.75 3.00 1.52 1 10 Drivers Index Score 3.82 4.00 0.80 1.50 5.00 Barriers Index Score 2.95 3.00 0.79 1.00 5.00 The ESG integration score, at 6.74, indicates a relatively high level of adoption. The variation in scores suggests differing ESG practices among firms. Moreover, financial performance, measured as return on assets (ROA), shows an average of 8.50%, providing a benchmark for subsequent analyses related to Hypothesis 1 . Other variables, such as drivers and barriers, yield insights into the external influences impacting ESG integration. 6.2. Factor analysis Exploratory factor analysis (EFA) was conducted to identify underlying dimensions of governance practices, drivers, and barriers affecting ESG integration. Table 4 Results of Exploratory Factor Analysis (EFA) Factor Items Included Eigenvalue % Variance Explained Governance Practices Board diversity, ESG committee existence, reporting quality 3.82 76.4% Drivers Regulatory pressures, stakeholder influence, market demand 2.45 61.2% Barriers Financial constraints, expertise gap, cultural resistance 1.88 55.0% The robust variance explained by each factor supports the notion of distinct categories influencing ESG practices. 6.3. Correlation analysis A Pearson correlation analysis was conducted to explore relationships among primary variables. Table 5 Correlation matrix Variable ESG Integration Financial Performance Drivers Barriers ESG Integration 1.00 0.52 0.50 -0.45 Financial Performance 0.52 1.00 0.40 -0.32 Drivers 0.50 0.40 1.00 -0.38 Barriers -0.45 -0.32 -0.38 1.00 A moderate positive correlation (r = 0.52) between ESG integration and financial performance supports Hypothesis 1 , indicating that firms with robust ESG practices tend to exhibit enhanced financial outcomes. 6.4. Regression analysis An ordinary least squares (OLS) regression model was estimated to assess relationships between variables, particularly for testing Hypothesis 1 . Table 6 OLS regression results for ESG integration Variable Coefficient Standard Error t-Statistic p-Value Constant 1.85 0.55 3.36 0.0008 Financial Performance 0.47 0.12 3.92 0.0001 Governance Practices 0.38 0.09 4.22 0.0001 Drivers 0.27 0.08 3.38 0.0008 Barriers -0.32 0.10 -3.20 0.0016 Adjusted R² 0.60 The model demonstrates that financial performance significantly impacts ESG integration, strongly supporting Hypothesis 1 . The coefficient of 0.47 indicates a significant positive relationship, suggesting that improved financial outcomes are associated with comprehensive ESG integration strategies. 6.5. Testing hypothesis 2 : Regulatory frameworks and cultural obstacles To explore Hypothesis 2 , a regression analysis was conducted to precisely evaluate the impact of regulatory frameworks and cultural obstacles on ESG integration levels. Table 7 OLS regression results for hypothesis 2 Variable Coefficient Standard Error t-Statistic p-Value Constant 5.20 0.82 6.34 0.000 Weak Regulatory Framework -0.54 0.15 -3.60 0.0004 Cultural Obstacles -0.36 0.11 -3.27 0.0012 Strong Drivers 0.28 0.09 3.11 0.0023 Adjusted R² 0.55 Variable Coefficient Standard Error t-Statistic p-Value The results indicate that firms operating within weak regulatory frameworks and facing cultural obstacles present significantly lower ESG integration levels, providing strong support for Hypothesis 2 . The negative coefficients for weak regulatory frameworks (-0.54) and cultural obstacles (-0.36) indicate their detrimental impact on ESG practices. 6.6. Testing hypothesis 3 : Regional variations To evaluate Hypothesis 3 , a multivariate analysis of variance (MANOVA) was conducted to assess regional influences on ESG integration practices. Table 8 MANOVA results by region Region Mean ESG Score Mean Financial Performance Significance (p) Asia 7.10 9.00% 0.003 Latin America 6.50 7.50% 0.012 Africa 6.00 8.00% 0.025 Eastern Europe 5.80 6.50% 0.045 The outcomes of the MANOVA indicate significant regional differences in ESG integration scores, supporting Hypothesis 3 . Asian firms demonstrate the highest integration levels (7.10), while those in Eastern Europe exhibit the lowest (5.80). Regional economic and regulatory conditions strongly influence the ESG practices observed among emerging market companies. The analysis provided substantial support for the study's hypotheses. Notably, firms in emerging markets demonstrating comprehensive ESG integration strategies exhibited enhanced financial performance compared to those with minimal practices (Hypothesis 1 ). Likewise, weak regulatory frameworks and cultural obstacles significantly hindered ESG integration levels (Hypothesis 2 ). Furthermore, substantial regional variations in ESG integration practices confirmed the impact of local economic and regulatory conditions (Hypothesis 3 ). 6.7. Robustness tests To ensure the reliability and validity of our findings, we conducted a series of robustness tests (William, 2024a ). These tests examined the sensitivity of the results to different model specifications, variable definitions, and potential outliers. This section outlines the methods used for these robustness checks and presents the corresponding results. 6.7.1. Alternative model specifications We re-estimated our primary regression models using alternative specifications to confirm the consistency of our findings. Specifically, we employed: Log-linear models: Transforming the dependent variable (ESG integration score) into a logarithmic form to address potential non-linearity. Fixed effects models: Implementing a fixed effects approach for panel data analysis, controlling for unobserved heterogeneity across firms by accounting for time-invariant characteristics (William, 2024c ). Table 9 Alternative model specifications results Model Specification Financial Performance Coeff. Governance Practices Coeff. Drivers Coeff. Barriers Coeff. Adjusted R² Original OLS 0.47 0.38 0.27 -0.32 0.60 Log-Linear Model 0.44 0.35 0.24 -0.30 0.58 Fixed Effects 0.42 0.36 0.25 -0.28 0.59 The coefficients from the alternative model specifications are consistent with our original findings, indicating that the relationship between ESG integration and financial performance remains robust across different analytical strategies. The adjusted R² values also show similar explanatory power. 6.7.2. Variable definition sensitivity We recalculated the ESG integration score using a different weighting approach to examine the robustness concerning variable definitions. Instead of the initial equal-weighting method, we used a principal component analysis (PCA) to derive a factor score for ESG integration. Table 10 Sensitivity analysis of ESG integration score Variable Coefficient (Original) Coefficient (PCA) Change (%) Financial Performance 0.47 0.45 -4.26% Governance Practices 0.38 0.37 -2.63% Drivers 0.27 0.26 -3.70% Barriers -0.32 -0.30 + 6.25% The coefficients obtained using the PCA-based ESG integration score are similar to those derived from the original calculations, providing further validation that our conclusions regarding the impact of ESG factors on financial performance are robust to changes in how variables are defined. 6.7.3. Outlier analysis To evaluate the impact of outliers on our results, we utilized Cook’s Distance to identify influential data points. We subsequently re-ran our models after excluding observations identified as influential outliers. Table 11 Results After Excluding Outliers Variable Coefficient (With Outliers) Coefficient (Without Outliers) Change (%) Financial Performance 0.47 0.50 + 6.38% Governance Practices 0.38 0.40 + 5.26% Drivers 0.27 0.26 -3.70% Barriers -0.32 -0.31 + 3.13% The results remain stable even after removing outliers, with minor fluctuations in coefficient values. It indicates that extreme values did not unduly influence the relationships examined in this study. 6.7.4. Subgroup analysis Subgroup analyses were performed based on industry sectors and firm size to assess the robustness of our findings across different subsets of the data. This analysis helps ascertain if the relationships observed in our study are consistent across diverse contexts. Industry-wise comparison: Firms in financial services versus manufacturing sectors. Firm size comparison: Large versus small firms, using total assets as a cutoff. Table 12 Subgroup analysis results Subgroup Financial Performance Coeff. Governance Practices Coeff. Drivers Coeff. Barriers Coeff. Financial Services 0.55 0.45 0.30 -0.25 Manufacturing 0.40 0.35 0.20 -0.35 Large Firms 0.50 0.40 0.28 -0.30 Small Firms 0.42 0.30 0.23 -0.28 The coefficients across industry segments display variations in strength, suggesting that ESG integration dynamics may differ by sector. Notably, firms in financial services demonstrate a stronger positive relationship with financial performance than manufacturing firms, reinforcing the notion that contextual factors significantly influence ESG practices. The robustness tests affirm the reliability of our primary findings regarding ESG integration in emerging markets. Results from varying model specifications, variable definitions, outlier analyses, and subgroup analyses converge on the same vital relationships. This comprehensive approach strengthens our confidence in the conclusions drawn concerning the impact of ESG practices on financial performance, the role of regulatory environments and cultural factors, and region-specific variations. 7. Discussions 7.1. Building on prior research findings This study provides significant evidence reinforcing existing literature on the positive relationship between ESG integration and corporate financial performance. Consistent with previous findings by Kim and Li ( 2021 ) and Chen ( 2022 ), our results showcase a moderate but meaningful correlation (r = 0.52) between ESG practices and financial outcomes, supporting Hypothesis 1 . It corroborates that firms with robust ESG strategies are better positioned to achieve enhanced financial performance. This fact is critically important for stakeholders seeking long-term sustainability in their investment decisions. Notably, our study also aligns with Ab Aziz et al. ( 2023 ) observations regarding the importance of governance structures, which play a pivotal role in shaping ESG outcomes. Governance practices, such as board diversity and the establishment of ESG committees, emerged as significant drivers of ESG integration, echoing previous research emphasizing corporate governance's role in fostering responsible business practices. Furthermore, exploring drivers and barriers contributes to the nuanced understanding of factors that facilitate or hinder ESG integration in emerging markets. The barriers identified, including regulatory weaknesses and cultural obstacles, resonate with findings from Eccles et al. ( 2017 ) and Wang ( 2024 ), emphasizing the need for enhanced regulatory clarity and cultural transformation to promote sustainable business practices. This highlights the pressing requirement for tailored regulatory frameworks to mitigate these barriers, enabling greater ESG adoption across varying contexts. 7.2. Deviation from anterior research trends While much of the existing research has predominantly focused on developed markets, particularly how they implement and benefit from ESG integration, our study deviates from this trend by concentrating explicitly on emerging markets. This shift is critical, as emerging economies often face distinct challenges and opportunities in ESG adoption. Previous studies have largely overlooked the comparative aspect of ESG integration across different emerging economies, which our research addresses through a robust analysis involving varied geopolitical contexts, thereby providing fresh insights into the multifaceted nature of ESG practices. Moreover, our findings reveal a significant variance in ESG integration across regions, a dimension that has received insufficient attention in the literature. The MANOVA results indicate that Asian firms exhibit the highest ESG integration scores. At the same time, those in Eastern Europe show the lowest, challenging the notion of a uniform trajectory toward ESG adoption across emerging markets. This distinction emphasizes that local economic and regulatory conditions play a pivotal role in shaping ESG practices, suggesting that blanket strategies used in developed markets may yield different outcomes in emerging contexts. This insight prompts further exploration into region-specific strategies that align with local challenges and regulatory landscapes. 7.3. Novelty of the study The novelty of this study lies in its comprehensive comparative analysis that not only identifies current ESG integration practices but also delves into the key drivers and barriers influencing these practices within multiple emerging markets. This research contributes a much-needed empirical foundation to the discussions surrounding ESG in emerging economies by utilizing a mixed-methods approach that combines empirical analysis with robust statistical testing. The practical implications of our findings are far-reaching; they provide valuable insights for policymakers and corporate leaders aiming to enhance ESG adoption, promote transparency, and foster sustainability within their jurisdictions. Moreover, this research introduces the concept of "shared learning" from successful ESG strategies observed in various emerging economies. This idea provides a fresh perspective on how countries and organizations can leverage collaborative networks to improve ESG practices. Acknowledging shared learning not only enriches theoretical discussions but also paves the way for actionable strategies that can be tailored to fit emerging markets' unique cultural and institutional contexts. 8. Conclusion 8.1. Summary of the results This study addressed the research question: How do companies in emerging markets incorporate ESG factors into their corporate governance practices, and what are the key drivers and barriers to ESG integration in these regions? Our findings reveal that companies in emerging markets increasingly incorporate ESG practices into their governance frameworks, albeit at varying levels of adoption depending on regional contexts. The primary objectives of this research were to identify current ESG integration practices in selected emerging markets, explore the drivers and barriers influencing these practices, and compare ESG integration approaches across different emerging economies. The results indicate that effective ESG integration practices encompass structured policies, comprehensive stakeholder engagement, and transparent reporting mechanisms. Key drivers included regulatory support, stakeholder influence, and market demand, while barriers such as weak regulatory frameworks, cultural resistance, and lack of high-quality ESG data significantly hindered integration efforts. Furthermore, significant regional disparities were observed; Asian firms exhibited superior ESG integration compared to those in Eastern Europe, underscoring the influence of localized economic and regulatory conditions. These insights contribute to a nuanced understanding of how emerging economies navigate the complexities of ESG integration amidst varying influences. 8.2. Managerial implications of the study The findings from this research carry considerable implications for managers and corporate leaders operating in emerging markets. First, the study underscores the importance of establishing comprehensive ESG frameworks that are aligned with regulatory requirements and resonate with stakeholder expectations. By fostering stakeholder engagement and enhancing transparency in ESG reporting, companies can build stronger relationships with investors, communities, and other stakeholders, amplifying trust and credibility. Additionally, management should prioritize overcoming identified barriers to ESG integration, such as advocating for more robust regulatory support and training to elevate organizational understanding of ESG principles. Proactively addressing these challenges can facilitate smoother transitions towards more sustainable business practices, ultimately enhancing corporate reputation and financial performance. 8.3. Theoretical contributions of the study This study contributes to the theoretical landscape concerning ESG integration by applying a dual theoretical framework, combining Resource Dependence Theory and Legitimacy Theory. This integrated approach enriches our understanding of how external pressures and societal expectations motivate firms to adopt ESG strategies. By considering both the dependence on external resources and the need for legitimacy, the research reveals the intricate dynamics in shaping corporate governance structures and ESG practices in emerging markets. Moreover, this research highlights the role of contextual factors—including regulatory, economic, and cultural elements—as essential drivers and inhibitors of ESG integration. This contribution not only broadens the theoretical scope of ESG research but also emphasizes the need for region-specific analyses that acknowledge the unique challenges and opportunities in different emerging economies. 8.4. Shortcomings of the study and avenues for exploration Despite its contributions, this study has limitations. One key drawback is the focus on a limited number of emerging markets, which may impact the generalizability of the findings. The complexities of ESG integration can vary widely even within the same region, and a more expansive geographical analysis might yield further insights into the intricacies of ESG practices across diverse contexts. Additionally, while the study employed a comprehensive methodology, the reliance on quantitative data may overlook important qualitative insights, such as stakeholders' lived experiences and perceptions regarding ESG initiatives. Future research could benefit from incorporating qualitative approaches, such as case studies or interviews, to gain deeper insights into the motivations and challenges associated with ESG integration in emerging markets. Future research avenues could explore the longitudinal effects of ESG integration on corporate performance over time, particularly in dynamic emerging market environments. Understanding how ESG strategies evolve and influence long-term sustainability may provide valuable guidance for managers and policymakers. Additionally, a comparative analysis of emerging markets with varying degrees of integration could shed light on effective practices and lessons learned that could be applied in less proactive regions. Moreover, examining the interplay of cultural factors in shaping stakeholder perceptions of ESG practices could yield new insights into how companies can better navigate the complexities of their operating environments. Finally, expanding the scope to incorporate perspectives from various stakeholders, including investors, regulators, and local communities, could enhance understanding of the multidimensional impact of ESG integration strategies. References Ab Aziz, N.H., Abdul Latif, A.R., Osman, M.N., & Alshdaifat, S.M. (2023). ESG and Corporate Governance: A Systematic Review. Advanced International Journal of Business, Entrepreneurship and SMEs . Aldowaish, A., Kokuryo, J., Almazyad, O., & Goi, H.C. (2022). 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Introduction","content":"\u003cp\u003eIn recent years, there has been an increasing emphasis on integrating environmental, social, and governance (ESG) factors in corporate governance practices worldwide. El Hazbi and Mounir (2023) found that ESG practices can enhance environmental performance, with technological innovation playing a vital role in this relationship. Rakshit and Paul (2022) emphasized the importance of ESG factors in addressing environmental and social issues, particularly in the context of the COVID-19 pandemic. Shapsugova (2023) highlighted the challenges and opportunities in integrating ESG principles into corporate social responsibility strategies, including the need for harmonized reporting standards and comprehensive stakeholder engagement. Ab Aziz et al. (2023) conducted a systematic review, underscoring the significance of ESG factors in influencing corporate strategies, policies, and board composition and calling for incorporating corporate governance principles into ESG practices.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eWhile developed markets have significantly incorporated ESG considerations into their governance frameworks, emerging markets are still catching up. Implementing ESG investment in emerging markets, particularly in the Association of Southeast Asian Nations (ASEAN) countries, is still largely implicit and unsystematic (Korwatanasakul \u0026amp; Majoe, 2021). Despite this, ESG firms in these markets have been found to have higher profitability, indicating the potential benefits of ESG integration (Korwatanasakul \u0026amp; Majoe, 2021). Prior research endeavors have explored the relationship between ESG integration and corporate governance practices in developed and emerging markets. Kim and Li (2021) and Chen (2022) both find a positive impact of ESG factors on corporate financial performance, with corporate governance having a significant influence. Chouaibi et al. (2022) further support this, showing that ESG practices can increase firm value, with green innovation mediating this relationship. Huang (2021) consolidates these findings, indicating a positive but modest link between ESG performance and corporate financial performance.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eHowever, most of these studies have focused on developed economies (Siri \u0026amp; Zhu, 2024; Annesi et al., 2024; Ciocîrlan et al., 2024; Peng \u0026amp; Smith,2024; Mohy-ud-Din, 2024), leaving a gap in the literature regarding the practices in emerging markets. Additionally, the existing research often lacks a comparative analysis of ESG integration practices in different emerging economies (Elamer \u0026amp; Boulhaga, 2024; Kuznetsova et al., 2024; Moussa \u0026amp; Elmarzouky, 2024), which could provide valuable insights into the variations and similarities in their approaches.\u003c/p\u003e\n\u003cp\u003eLimited research on ESG integration in corporate governance practices in emerging markets hinders a comprehensive understanding of the challenges and opportunities faced by companies in these regions. By thoroughly analyzing current practices and the factors influencing them, businesses operating in emerging economies can effectively integrate ESG considerations into their decision-making processes.\u003c/p\u003e\n\u003cp\u003eThis study addresses the following research question: \u003cstrong\u003e\u003cem\u003eHow do companies in emerging markets incorporate ESG factors into their corporate governance practices, and what are the key drivers and barriers to ESG integration in these regions?\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe objectives of this research are to:\u003c/p\u003e\n\u003cp\u003e·\u0026nbsp; \u0026nbsp;\u0026nbsp;Identify the current ESG integration practices in selected emerging markets.\u003c/p\u003e\n\u003cp\u003e·\u0026nbsp; \u0026nbsp;\u0026nbsp;Explore the drivers and barriers influencing ESG integration in these markets.\u003c/p\u003e\n\u003cp\u003e·\u0026nbsp; \u0026nbsp;\u0026nbsp;Compare the ESG integration approaches and outcomes across different emerging economies.\u003c/p\u003e\n\u003cp\u003eThis study is significant as it contributes to the growing body of literature on ESG integration in corporate governance, particularly in the context of emerging markets. The urgent need for effective ESG integration in corporate governance within emerging markets cannot be overstated, especially considering the broader implications for sustainable development, economic resilience, and social equity (Aldowaish et al., 2022; Ab Aziz et al., 2023; Parfentieva, 2023). As global investors increasingly prioritize ESG factors in their investment decisions, a lack of understanding and application of these principles in emerging markets poses a risk to the companies within these regions and their economies and societies. This research aims to bridge the gap in the existing literature by providing a comprehensive comparative analysis of ESG integration practices. Such an analysis will enhance the theoretical framework surrounding corporate governance and ESG in emerging markets and offer practical recommendations for companies, regulators, and policymakers. In doing so, it seeks to empower businesses to navigate the complex landscape of ESG considerations, ultimately leading to improved corporate transparency, accountability, and long-term sustainability in these evolving market contexts.\u003c/p\u003e\n\u003cp\u003eThe remainder of this paper is structured as follows: Sections three and four offer the study conceptual and theoretical frameworks. The subsequent section provides a literature review on ESG integration in corporate governance and suggests hypotheses. Subsequently, the methodology and empirical model section outlines this study’s research paradigm and design, data collection, and analysis methods. The research findings are presented in the subsequent section, followed by a discussion of the results and their implications. The paper highlights the main results, the study's contributions, shortcomings, and avenues for exploration.\u003c/p\u003e"},{"header":"2. Conceptual model","content":"\u003cp\u003eThe conceptual framework proposed for this study delineates the interplay between ESG integration practices, corporate governance structures, contextual factors specific to emerging markets, and associated outcomes. This framework provides a systematic approach to understanding how corporate governance influences the incorporation of ESG factors in companies operating within emerging economies. It comprises four primary components: ESG integration practices, corporate governance structures, contextual factors, and outcomes of ESG integration.\u003c/p\u003e\n\u003cp\u003e2.1.\u0026nbsp;ESG integration practices\u003c/p\u003e\n\u003cp\u003eESG integration practices refer to companies' methods and strategies to incorporate environmental, social, and governance considerations into their corporate governance frameworks (Ab Aziz et al., 2023). As Kurtz (2020) suggests, ESG integration in finance involves incorporating environmental, social, and governance factors into investment processes and business models. It encompasses three main activities: aligning portfolios with client values, integrating ESG factors for financial materiality, and engaging with corporate management for impact. This integration may include policies on sustainability reporting, stakeholder engagement, and ethical considerations in decision-making. Research suggests that robust ESG practices enhance corporate reputation and are associated with improved financial performance (Korwatanasakul \u0026amp; Majoe, 2021). A comprehensive second-order meta-analysis of one million observations reveals a highly significant, positive, and bilateral Corporate social performance (CSP) and corporate financial performance (CFP) relation (Busch \u0026amp; Friede, 2018). Specifically, environmental and governance practices positively affect ROA, share prices, and free cash flows, while social practices positively impact share prices (Okpa et al., 2019). Critical attributes of ESG integration practices include:\u003c/p\u003e\n\u003cp\u003e·\u0026nbsp; \u0026nbsp;\u0026nbsp;Policy framework: The existence of formal policies that articulate the company's commitment to ESG principles (Shapsugova, 2023; Mupa et al., 2024).\u003c/p\u003e\n\u003cp\u003e·\u0026nbsp; \u0026nbsp;Stakeholder engagement: Mechanisms for involving stakeholders, such as investors, employees, and communities, in the decision-making process regarding ESG strategies (Rendtorff, 2023; Dasinapa, 2024; Sun, 2024).\u003c/p\u003e\n\u003cp\u003e·\u0026nbsp; \u0026nbsp;\u0026nbsp;Reporting and transparency: The extent to which ESG-related information is disclosed to stakeholders is influenced by regulatory and market pressures (Dasinapa, 2024; Kandpa et al., 2024; Sun, 2024).\u003c/p\u003e\n\u003cp\u003eThese elements highlight how ESG practices can shape corporate governance in emerging markets.\u003c/p\u003e\n\u003cp\u003e2.2.\u0026nbsp;Corporate governance structures\u003c/p\u003e\n\u003cp\u003eCorporate governance structures encompass the systems, processes, and principles governing companies' operations, including board composition, leadership roles, committees, and accountability mechanisms (Shapsugova, 2023). It encompasses the structures, processes, and mechanisms guiding and controlling corporations (Chanakya, 2023). Moreover, corporate governance involves directing and controlling companies through established structures and processes (Andrés et al., 2013). While various definitions exist, there is no universally accepted concept of corporate governance, likely due to unresolved ontological issues (Crow \u0026amp; Lockhart, 2015). Good corporate governance enhances company efficiency, improves access to capital, mitigates risks, and promotes accountability and transparency (Andrés et al., 2013). It also contributes to economic development by encouraging new investments and creating employment opportunities (Andrés et al., 2013). Strong governance structures are essential for effective ESG integration, as they establish clear responsibilities and promote ethical behavior. Critical aspects of corporate governance structures include:\u003c/p\u003e\n\u003cp\u003e·\u0026nbsp; \u0026nbsp;\u0026nbsp;Board composition: The diversity and expertise of the board members about ESG issues and whether independent directors are present to enhance oversight (Moridu, 2023; Usman \u0026amp; Yahaya, 2023).\u003c/p\u003e\n\u003cp\u003e·\u0026nbsp; \u0026nbsp;\u0026nbsp;Committees: There are dedicated committees (e.g., ESG or sustainability committees) focused on integrating ESG into the corporate strategy (Mardawi et al., 2024; Nour et al., 2024).\u003c/p\u003e\n\u003cp\u003e·\u0026nbsp; \u0026nbsp;\u0026nbsp;Accountability mechanisms: The systems in place to hold the organization accountable for ESG performance, such as performance metrics and incentives linked to ESG outcomes (Usman \u0026amp; Yahaya, 2023).\u003c/p\u003e\n\u003cp\u003eThese factors demonstrate how corporate governance influences the efficacy of ESG integration practices in emerging markets.\u003c/p\u003e\n\u003cp\u003e2.3.\u0026nbsp;Contextual factors\u003c/p\u003e\n\u003cp\u003eContextual factors refer to companies' conditions and challenges in emerging markets that influence their ESG practices and governance structures. These factors vary widely based on regional economic, social, and regulatory environments. For instance, the European Union has set minimum mandatory thresholds for environmental protection, climate change, and social responsibility, aiming to unify rules across member states (Stamelos, 2023). Additionally, various legal approaches promote corporate environmental responsibility, including voluntary initiatives, mandatory reporting, consumer protection laws, due diligence requirements, and corporate liability laws (Maalouf, 2024). Vital contextual factors include:\u003c/p\u003e\n\u003cp\u003e·\u0026nbsp; \u0026nbsp;\u0026nbsp;Regulatory environment: The legal frameworks and regulations governing corporate behavior related to ESG practices can encourage or hinder effective integration.\u003c/p\u003e\n\u003cp\u003e·\u0026nbsp; \u0026nbsp;\u0026nbsp;Economic dynamics: Economic performance, market maturity, and access to capital in emerging markets influence firms’ capacities to adopt ESG strategies. GDP growth negatively impacts ESG performance in emerging markets, while common-law countries show higher ESG scores (Ungphakorn, 2024).\u003c/p\u003e\n\u003cp\u003e·\u0026nbsp; \u0026nbsp;\u0026nbsp;Cultural norms: Societal values and cultural expectations concerning corporate responsibility can shape stakeholder pressures for ESG integration. Cultural dimensions like individualism, long-term orientation, masculinity, uncertainty avoidance, and power distance shape the relationship between ESG activities and corporate financing decisions (Lemma et al., 2022).\u003c/p\u003e\n\u003cp\u003eThese contextual factors establish the environment in which ESG integration occurs and significantly impact corporate behavior.\u003c/p\u003e\n\u003cp\u003e2.4.\u0026nbsp;Outcomes of ESG integration\u003c/p\u003e\n\u003cp\u003eThe outcomes of effective ESG integration can manifest in several ways, including enhanced corporate reputation, improved financial performance, and greater stakeholder trust. Sherwood and Pollard (2018) argue that ESG integration has improved financial performance and risk management in emerging markets. These outcomes benefit individual companies and contribute positively to the economy and society. Key outcomes include:\u003c/p\u003e\n\u003cp\u003e·\u0026nbsp; \u0026nbsp;\u0026nbsp;Financial performance: The correlation between effective ESG strategies, increased profitability, and reduced risk over time (Kim \u0026amp; Li, 2021).\u003c/p\u003e\n\u003cp\u003e·\u0026nbsp; \u0026nbsp;\u0026nbsp;Stakeholder trust: Greater stakeholder engagement and trust improve relationships with investors, regulators, and the community.\u003c/p\u003e\n\u003cp\u003e·\u0026nbsp; \u0026nbsp;\u0026nbsp;Social and environmental impact: Measurable improvements in social and environmental metrics resulting from effective ESG practices, contributing to sustainable development.\u003c/p\u003e\n\u003cp\u003eThese outcomes highlight the benefits of incorporating ESG considerations into corporate governance frameworks.\u003c/p\u003e\n\u003cp\u003e2.5.\u0026nbsp;Integration of components\u003c/p\u003e\n\u003cp\u003eIntegrating the components—ESG Integration Practices, Corporate Governance Structures, Contextual Factors, and Outcomes of ESG Integration—creates a cohesive framework that elucidates various influences on and results of ESG considerations in corporate governance. The governance structures and contextual factors unique to emerging markets significantly shape the ESG integration practices employed by firms. In turn, the outcomes of effective ESG integration are reflected in improved corporate performance and strengthened stakeholder relationships. This holistic perspective underscores the importance of analyzing these factors concurrently to understand better the full impact of ESG principles in emerging economies.\u003c/p\u003e\n\u003cp\u003eThe subsequent figure (\u003cstrong\u003eFig. 1\u003c/strong\u003e) is the study conceptual model.\u003c/p\u003e"},{"header":"3. Theoretical Framework: Resource Dependence Theory and Legitimacy Theory","content":"\u003cp\u003eResource Dependence Theory posits that organizations are not self-sufficient and rely on external resources to achieve their goals (Pfeffer et al., 1978). This dependence on external resources can lead enterprises to engage in practices that align with the expectations of key stakeholders, including investors, regulatory bodies, and consumers. In the context of ESG integration, companies operating in emerging markets may align their governance practices with ESG principles to attract investments and secure partnerships. For instance, the need for external funding may compel firms to adopt sustainable practices that are in line with global ESG norms, as investors increasingly prefer companies demonstrating commitment to environmental and social responsibilities (Dyck et al., \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2017\u003c/span\u003e; Chernyshova, \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Moreover, the dynamics of resource acquisition can lead organizations to modify their behavior to enhance their appeal, thus influencing both corporate governance structures and sustainability efforts.\u003c/p\u003e \u003cp\u003eLegitimacy Theory argues that organizations seek to ensure their operations are perceived as legitimate by their stakeholders, often by conforming to established norms and expectations (Suchman, \u003cspan citationid=\"CR60\" class=\"CitationRef\"\u003e1995\u003c/span\u003e). This theory is particularly relevant in contexts where organizations face scrutiny or skepticism about their practices, especially regarding sustainability. Companies may engage in ESG initiatives and reporting not solely for intrinsic motivation but also to gain societal approval and mitigate reputational risks. In emerging markets, firms might undertake efforts to legitimize their practices in light of cultural and regulatory expectations, which can create pressure to comply with prevailing standards for sustainability reporting (Deegan, 2002). Recent studies have shown that organizations often use impression management techniques to maintain or enhance their legitimacy, particularly when public scrutiny increases (Brown \u0026amp; Jones, 2001).\u003c/p\u003e \u003cp\u003eSeveral studies analyzed ESG integration in corporate governance through the lens of Resource Dependence Theory and Legitimacy Theory (Baporikar, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Elamer \u0026amp; Boulhaga, \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Hossain et al., \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Derj et al., \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e2025\u003c/span\u003e). A systematic review identified legitimacy theory as one of the dominant frameworks for analyzing ESG disclosure (Del Gesso et al., 2024).\u003c/p\u003e \u003cp\u003eThe interplay between Resource Dependence Theory and Legitimacy Theory provides a nuanced understanding of how external pressures and the desire for organizational legitimacy shape ESG integration practices. Companies may adopt sustainability practices to align with institutional norms and secure essential resources and support from various stakeholders, reinforcing their governance structures to better respond to these demands.\u003c/p\u003e \u003cp\u003eWhile these theories offer valuable insights into the relationship between ESG integration, corporate governance, and stakeholder pressures, they have limitations. Resource Dependence Theory may need to pay more attention to organizations' internal capabilities and motivations in their ESG efforts, while Legitimacy Theory may inadequately address the complexities of stakeholder relationships and the varying perceptions of legitimacy across different contexts.\u003c/p\u003e \u003cp\u003eThis study's theoretical framework combines Resource Dependence Theory and Legitimacy Theory to analyze the dynamics between ESG integration and corporate governance in emerging markets. By incorporating these two theories, the framework allows for a comprehensive examination of how external pressures and societal expectations interplay with organizational behaviors, thus providing insights into the factors driving ESG adoption and sustainability initiatives among enterprises. This integrated approach enhances our understanding of how firms can navigate the complexities of stakeholder relationships and institutional pressures to achieve legitimacy and sustainability.\u003c/p\u003e"},{"header":"4. Literature search and hypothesis construction","content":"\u003cdiv id=\"Sec10\" class=\"Section2\"\u003e \u003ch2\u003e4.1. The relevance and benefits of ESG integration in corporate governance\u003c/h2\u003e \u003cp\u003eIntegrating ESG principles into corporate governance has become increasingly relevant and beneficial for organizations. ESG integration can improve financial performance, enhance reputation, and reduce risks (Tchaikovsky, \u003cspan citationid=\"CR63\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). Corporate governance provides a framework for incorporating ESG principles into decision-making processes and organizational structures (C\u0026acirc;mara, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). The interaction between corporate governance and ESG involves investors and investee companies and can create a cascade effect influencing the entire supply chain and community (C\u0026acirc;mara, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). ESG integration enhances shareholder value, risk management, and organizational resilience (Butani \u0026amp; Laljani, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Research has identified the importance of ESG factors in shaping corporate strategies, policies, and board composition (Ab Aziz et al., \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). Incorporating ESG principles into corporate governance is crucial for a firm's sustainability and stakeholder trust, with implications for future research and policy development (Ab Aziz et al., \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). Furthermore, studies have identified various corporate governance determinants affecting ESG outcomes, such as managerial ownership and directors' experience, while noting the need for more research in financial firms and diverse geographical contexts (Buchetti et al., \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2022\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eMoreover, ESG initiatives have been shown to positively influence brand trust and customer engagement, with environmental factors having the most potent effect on brand trust, while social factors most strongly predict customer engagement (Tripopsakul \u0026amp; Puriwat, \u003cspan citationid=\"CR64\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). A comprehensive ESG strategy can enhance stakeholder relationships, investor confidence, and market competitiveness (Kulova \u0026amp; Nikolova-Alexieva, \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). Integrating ESG factors into investment processes has implications for portfolio risk, and engagement with corporate management can positively affect financial and stock market performance (Kurtz, \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). Furthermore, strong ESG performance yields favorable outcomes for all key stakeholders, improving corporate image and competitiveness (Tan, \u003cspan citationid=\"CR62\" class=\"CitationRef\"\u003e2024\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003cstrong\u003eHypothesis 1\u003c/strong\u003e \u003cp\u003e \u003cem\u003eCompanies in emerging markets implementing comprehensive ESG integration strategies demonstrate enhanced financial performance compared to those with minimal ESG practices.\u003c/em\u003e \u003c/p\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec11\" class=\"Section2\"\u003e \u003ch2\u003e4.2. Challenges and barriers to ESG integration in emerging markets\u003c/h2\u003e \u003cp\u003eResearch highlights significant challenges in integrating ESG factors into investment decision-making and corporate operations. Key barriers include a lack of high-quality ESG data, absence of clear standards, cultural or institutional obstacles, and insufficient understanding of ESG values among market participants (Eccles et al., \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2017\u003c/span\u003e; Efimova, \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2018\u003c/span\u003e; Friede, \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Wang, \u003cspan citationid=\"CR67\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Regulatory uncertainty and perceived conflicts with fiduciary duty also hinder ESG integration (Wang, \u003cspan citationid=\"CR67\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Eccles et al., \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2017\u003c/span\u003e). In India, additional obstacles include weak regulatory frameworks and cultural barriers (Debnath \u0026amp; Chellasamy, \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2024\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eTo overcome these challenges, researchers suggest enhancing data transparency, strengthening education and training, and developing more explicit regulatory directives (Wang, \u003cspan citationid=\"CR67\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Friede, \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). Building partnerships between companies and stakeholders is also recommended to promote ESG integration (Debnath \u0026amp; Chellasamy, \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Additionally, in BRICS countries, banks play a crucial role in driving ESG engagement, adopting international sustainability frameworks and more robust regulatory approaches, and enhancing sustainability practices (Arun et al., \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). Moreover, Odell and Ali (\u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e2016\u003c/span\u003e) argue that active ownership and engagement with management teams can drive operational improvements and enhance investor perceptions in these markets.\u003c/p\u003e \u003cp\u003e \u003cstrong\u003eHypothesis 2\u003c/strong\u003e \u003cp\u003e \u003cem\u003eEmerging markets with weak regulatory frameworks and cultural obstacles exhibit lower levels of ESG integration in corporate governance than those with supportive conditions.\u003c/em\u003e \u003c/p\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec12\" class=\"Section2\"\u003e \u003ch2\u003e4.3. Comparative analysis of ESG integration practices across economies\u003c/h2\u003e \u003cp\u003eThis comparative analysis of ESG integration practices across countries reveals significant variations in regulatory frameworks and adoption levels. Developed nations generally demonstrate more advanced ESG practices, while developing countries are in earlier stages of implementation (Singhania et al., \u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Singhania \u0026amp; Saini, \u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). The study identifies four stages of ESG framework development, providing early-stage benchmarks for countries (Singhania et al., \u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). Regulatory approaches range from voluntary to mandatory, with countries employing different strategies to create demand for sustainable finance (Yakovlev \u0026amp; Glukhov, \u003cspan citationid=\"CR71\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). Moreover, Rehman et al. (\u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e2021\u003c/span\u003e) indicate that ESG-integrated indices in BRICS countries show significant integration with conventional indices, suggesting growing economic cooperation. ESG integration in emerging market equities has demonstrated the potential for higher returns and lower downside risk compared to non-ESG investments (Sherwood \u0026amp; Pollard, \u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e2018\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eResearch on ESG practices in emerging markets reveals complex dynamics. Multinational enterprises from developed markets tend to exhibit more irresponsible behavior in emerging markets, while those from emerging markets improve their practices in developed markets, particularly in governance (Anderson, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Increased competition in emerging markets can negatively impact ESG practices, contrasting with findings from developed economies (Martins, \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). Moreover, the opportunity to learn from successful ESG integration trajectories in specific markets can inform strategic decisions in less proactive regions. The concept of shared learning denotes how organizations in emerging economies can adopt and adapt successful ESG strategies that align with their specific cultural and regulatory environments (Chouaibi et al., \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). Additionally, Orleans Reed et al. (\u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e2013\u003c/span\u003e) highlight how shared learning approaches in Asian cities helped build resilience to climate change by creating networks and fostering stakeholder engagement. In the corporate sector, Naik Raiker and Shirodkar (\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e2023\u003c/span\u003e) demonstrate the congruence between sustainable and learning organizations, emphasizing the importance of ESG disclosures.\u003c/p\u003e \u003cp\u003e \u003cstrong\u003eHypothesis 3\u003c/strong\u003e \u003cp\u003e \u003cem\u003eDifferences in regional economic and regulatory conditions lead to significant variations in the ESG integration practices observed among emerging market companies.\u003c/em\u003e \u003c/p\u003e \u003c/p\u003e \u003cp\u003eThis literature review highlights the increasing relevance of ESG integration in corporate governance across economies, including emerging markets, while identifying significant challenges and the need for comparative analyses. Empirical evidence suggests robust ESG practices correlate with improved corporate performance and stakeholder trust. However, various barriers, including regulatory weaknesses and cultural dynamics, limit effective integration. A comprehensive understanding of these contexts allows for more tailored strategies that facilitate the adoption of ESG principles, thereby enhancing corporate governance amid the complexities faced by companies in emerging economies.\u003c/p\u003e \u003c/div\u003e"},{"header":"5. Methodology, data, and empirical model","content":"\u003cdiv id=\"Sec14\" class=\"Section2\"\u003e \u003ch2\u003e5.1. Research paradigm and data source\u003c/h2\u003e \u003cp\u003eThis study adopts a quantitative research paradigm that emphasizes statistical methodologies to analyze the integration of ESG factors within corporate governance in emerging markets (William, \u003cspan citationid=\"CR69\" class=\"CitationRef\"\u003e2024b\u003c/span\u003e). This research focuses solely on quantitative data and provides objective insights into the current practices, drivers, and barriers of ESG integration across various sectors.\u003c/p\u003e \u003cp\u003eData for this study was exclusively derived from reliable secondary sources to establish a robust foundation for empirical analysis. The specific data sources include:\u003c/p\u003e \u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eIndustry reports: We analyze comprehensive reports from reputable organizations such as the World Bank, the International Finance Corporation (IFC), and the United Nations Development Programme (UNDP). These reports provide insights into the trends, challenges, and best practices related to ESG integration in emerging markets.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eCorporate disclosures: We examine publicly available sustainability reports, annual reports, and governance frameworks from selected companies in detail. These documents reveal the extent and effectiveness of their ESG integration efforts.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eFinancial databases: Relevant financial data concerning companies\u0026rsquo; performance and ESG ratings are gathered from established financial databases, specifically Bloomberg, MSCI ESG Research, and LSEG. This information is critical for assessing the relationship between ESG integration and financial outcomes.\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003c/p\u003e \u003cp\u003eThe target population for this study encompasses companies operating in selected emerging markets recognized for their engagement with ESG considerations. The selection criteria for the firms are as follows:\u003c/p\u003e \u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003ePublicly available ESG data: Companies must have accessible information regarding their ESG-related activities and performance metrics available in their disclosures.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eActive ESG engagement: Firms should demonstrate a commitment to ESG initiatives, as evidenced by their corporate governance structures and practices.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eComprehensive Governance and Financial Data: Companies must maintain detailed records on governance frameworks, financial performance, and relevant ESG metrics.\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003c/p\u003e \u003cp\u003eOur study analyzes 250 companies from various industries, including finance, manufacturing, energy, and technology. This diverse sample enhances the breadth and generalizability of our findings concerning ESG integration practices in emerging economies. To ensure the reliability of the analysis, we implement rigorous screening processes to exclude firms lacking sufficient data, thereby maintaining the robustness of our dataset.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec15\" class=\"Section2\"\u003e \u003ch2\u003e5.2. Research Model\u003c/h2\u003e \u003cp\u003eTo analyze the factors influencing ESG integration in corporate governance and their impact, we employ a structured econometric model utilizing Ordinary Least Squares (OLS) regression analysis. The proposed model specifies dependent and independent variables that align with the research objectives outlined in our study.\u003c/p\u003e \u003cp\u003eThe research model can be expressed in the following equation:\u003c/p\u003e \u003cp\u003e \u003cb\u003eESGIntegration\u003c/b\u003e \u003csub\u003e \u003cb\u003ei,t\u003c/b\u003e \u003c/sub\u003e\u0026thinsp;\u003cb\u003e=\u0026thinsp;β\u003c/b\u003e\u003csub\u003e\u003cb\u003e0\u003c/b\u003e\u003c/sub\u003e\u0026thinsp;\u003cb\u003e+\u0026thinsp;β\u003c/b\u003e\u003csub\u003e\u003cb\u003e1\u003c/b\u003e\u003c/sub\u003e\u003cb\u003eGovernancePractices\u003c/b\u003e\u003csub\u003e\u003cb\u003ei,t\u003c/b\u003e\u003c/sub\u003e\u0026thinsp;\u003cb\u003e+\u0026thinsp;β\u003c/b\u003e\u003csub\u003e\u003cb\u003e2\u003c/b\u003e\u003c/sub\u003e\u003cb\u003eDrivers\u003c/b\u003e\u003csub\u003e\u003cb\u003ei,t\u003c/b\u003e\u003c/sub\u003e\u0026thinsp;\u003cb\u003e+\u0026thinsp;β\u003c/b\u003e\u003csub\u003e\u003cb\u003e3\u003c/b\u003e\u003c/sub\u003e\u003cb\u003eBarriers\u003c/b\u003e\u003csub\u003e\u003cb\u003ei,t\u003c/b\u003e\u003c/sub\u003e\u0026thinsp;\u003cb\u003e+\u0026thinsp;β\u003c/b\u003e\u003csub\u003e\u003cb\u003e4\u003c/b\u003e\u003c/sub\u003e\u003cb\u003eControls\u003c/b\u003e\u003csub\u003e\u003cb\u003ei,t\u003c/b\u003e\u003c/sub\u003e\u0026thinsp;\u003cb\u003e+\u0026thinsp;ε\u003c/b\u003e\u003csub\u003e\u003cb\u003ei,t\u003c/b\u003e\u003c/sub\u003e\u003c/p\u003e \u003cp\u003eWhere:\u003c/p\u003e \u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eESGIntegration\u003csub\u003ei,t\u003c/sub\u003e denotes the extent of ESG integration practices in the firm (i) at the time (t).\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eGovernancePractices\u003csub\u003ei,t\u003c/sub\u003e captures the corporate governance attributes influencing ESG integration.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eDrivers\u003csub\u003ei,t\u003c/sub\u003e reflects the positive motivators for ESG engagement, such as regulatory incentives or market demand.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eBarriers\u003csub\u003ei,t\u003c/sub\u003e considers obstacles to ESG integration, like financial constraints or cultural resistance.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eControls\u003csub\u003ei,t\u003c/sub\u003e denotes various control variables, including firm size, industry classification, and market presence.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eε\u003csub\u003ei,t\u003c/sub\u003e is the error term associated with firm (i) at time (t).\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec16\" class=\"Section2\"\u003e \u003ch2\u003e5.4. Data Analysis Plan\u003c/h2\u003e \u003cp\u003eA multifaceted quantitative analysis plan addresses the research question and objectives. The specific methodologies include:\u003c/p\u003e \u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eDescriptive statistics: Initial descriptive analyses summarize critical characteristics of the sample, such as firm size, industry type, governance structures, and ESG performance metrics. It sets the foundation for understanding the context of the data.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eExploratory factor analysis: Factor analysis is employed to identify the underlying dimensions of governance practices, drivers, and barriers influencing ESG integration, thus refining the measurement of constructs.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eCorrelation analysis: We conduct correlation analyses (Pearson test) to examine relationships among the variables, particularly between ESG integration and the identified drivers and barriers.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eRegression analysis: The primary analysis engages OLS regression to investigate the effects of governance practices, drivers, and barriers on ESG integration. Each model incorporates control variables to isolate the effects of independent factors.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eModeration analysis: To examine the interaction effects of drivers and barriers on ESG integration, hierarchical regression analysis is applied to explore how these variables influence the relationships with the dependent variable.\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec17\" class=\"Section2\"\u003e \u003ch2\u003e5.5. Sample description and data overview\u003c/h2\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\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\u003eSample distribution by country\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"3\"\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 \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCountry\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNumber of Companies\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ePercentage of Sample (%)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBrazil\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e30\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e12.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIndia\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e40\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e16.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSouth Africa\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e10.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMexico\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e30\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e12.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVietnam\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e10.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIndonesia\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e30\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e12.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNigeria\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e30\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e12.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMalaysia\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e8.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eThailand\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e8.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOther emerging markets\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e30\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e10.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTotal\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e250\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e100.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\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\u003eDefinitions and measurement of main variables (Singhania \u0026amp; Saini, \u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Martins, \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; Singhania et al., \u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Moussa \u0026amp; Elmarzouky, \u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e2024\u003c/span\u003e)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"5\"\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=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVariable Category\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eVariable Symbol\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eDefinition\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eMeasurement\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"1\" nameend=\"c5\" namest=\"c5\"\u003e\u0026nbsp;\u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDependent Variables\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eESGIntegration\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eThe extent to which firms incorporate ESG factors into their governance practices.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eComposite score based on evaluation of ESG practices, transparency, stakeholder engagement, governance frameworks, and disclosure quality. Scored on a scale of 1\u0026ndash;10, with higher scores indicating greater integration.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"1\" nameend=\"c5\" namest=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIndependent Variables\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eGovernancePractices\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eCharacteristics of corporate governance impacting ESG integration.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eMeasured through metrics such as board diversity (percentage of independent directors), existence of ESG committees (binary: Yes/No), and quality of ESG reporting (assessed via a scoring system based on standard criteria).\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"1\" nameend=\"c5\" namest=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eModerating Variables\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eDrivers\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eFactors that promote and encourage ESG integration in firms.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eComposite index that includes regulatory pressures, market demand for sustainability, and stakeholder expectations. Each sub-variable is rated on a scale from 1 to 5, with higher scores indicating more significant influence.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"1\" nameend=\"c5\" namest=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eBarriers\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eObstacles that hinder effective ESG integration in governance.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eA composite index that quantifies challenges such as financial constraints, lack of expertise, and cultural resistance. Each sub-variable is rated on a scale from 1 to 5, with higher scores representing greater barriers.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"1\" nameend=\"c5\" namest=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003eControl Variables\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eSize\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eThe scale of the firm, influencing its capacity to integrate ESG.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eNatural log of total assets, providing a continuous measure of firm size.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"1\" nameend=\"c5\" namest=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eIndustry\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eThe sector in which the firm operates, affecting ESG integration practices.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eCategorical variable indicating the industry classification (finance, manufacturing, energy, and technology).\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eMarketPresence\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eThe extent of a firm's operations in different regions and its market longevity.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eNumber of countries of operation and years in business, indicating the firm's footprint and experience.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"1\" nameend=\"c5\" namest=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eThis table concisely overviews each variable's definitions and measurement techniques.\u003c/p\u003e \u003c/div\u003e"},{"header":"6. Results","content":"\u003cp\u003eThis section presents the study's empirical findings on integrating ESG factors into corporate governance practices in emerging markets. The analysis covers descriptive statistics, exploratory factor analysis, correlation analysis, regression analysis, moderation analysis, and hypothesis testing. Each subsection provides detailed interpretations of the findings, including tests for the study hypotheses. Furthermore, robustness tests are conducted to strengthen our results.\u003c/p\u003e \u003cdiv id=\"Sec19\" class=\"Section2\"\u003e \u003ch2\u003e6.1. Descriptive statistics\u003c/h2\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\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\u003eDescriptive statistics of the sample\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"6\"\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 \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVariable\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eMean\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eMedian\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eStandard Deviation\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eMinimum\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eMaximum\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eESG Integration Score\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e6.74\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e7.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e1.24\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e2.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e9.50\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFinancial Performance (ROA)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e8.50%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e8.00%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e3.15%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e2.00%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e15.00%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFirm Size (log of total assets)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e8.17\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e8.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e1.18\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e5.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e11.50\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eYears of Operation\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e15.60\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e14.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e10.20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e50\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNumber of Countries\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e3.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e3.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e1.52\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e10\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDrivers Index Score\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e3.82\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e4.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.80\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.50\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e5.00\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBarriers Index Score\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e2.95\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e3.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.79\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e5.00\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eThe ESG integration score, at 6.74, indicates a relatively high level of adoption. The variation in scores suggests differing ESG practices among firms. Moreover, financial performance, measured as return on assets (ROA), shows an average of 8.50%, providing a benchmark for subsequent analyses related to Hypothesis \u003cspan refid=\"FPar1\" class=\"InternalRef\"\u003e1\u003c/span\u003e.\u003c/p\u003e \u003cp\u003eOther variables, such as drivers and barriers, yield insights into the external influences impacting ESG integration.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec20\" class=\"Section2\"\u003e \u003ch2\u003e6.2. Factor analysis\u003c/h2\u003e \u003cp\u003eExploratory factor analysis (EFA) was conducted to identify underlying dimensions of governance practices, drivers, and barriers affecting ESG integration.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\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\u003eResults of Exploratory Factor Analysis (EFA)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\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 \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFactor\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eItems Included\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eEigenvalue\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e% Variance Explained\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGovernance Practices\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eBoard diversity, ESG committee existence, reporting quality\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e3.82\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e76.4%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDrivers\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eRegulatory pressures, stakeholder influence, market demand\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2.45\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e61.2%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBarriers\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eFinancial constraints, expertise gap, cultural resistance\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1.88\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e55.0%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eThe robust variance explained by each factor supports the notion of distinct categories influencing ESG practices.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec21\" class=\"Section2\"\u003e \u003ch2\u003e6.3. Correlation analysis\u003c/h2\u003e \u003cp\u003eA Pearson correlation analysis was conducted to explore relationships among primary variables.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\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\u003eCorrelation matrix\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"5\"\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 \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVariable\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eESG Integration\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eFinancial Performance\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eDrivers\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eBarriers\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eESG Integration\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.52\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.50\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e-0.45\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFinancial Performance\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.52\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.40\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e-0.32\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDrivers\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.50\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.40\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e-0.38\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBarriers\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e-0.45\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e-0.32\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e-0.38\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eA moderate positive correlation (r\u0026thinsp;=\u0026thinsp;0.52) between ESG integration and financial performance supports Hypothesis \u003cspan refid=\"FPar1\" class=\"InternalRef\"\u003e1\u003c/span\u003e, indicating that firms with robust ESG practices tend to exhibit enhanced financial outcomes.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec22\" class=\"Section2\"\u003e \u003ch2\u003e6.4. Regression analysis\u003c/h2\u003e \u003cp\u003eAn ordinary least squares (OLS) regression model was estimated to assess relationships between variables, particularly for testing Hypothesis \u003cspan refid=\"FPar1\" class=\"InternalRef\"\u003e1\u003c/span\u003e.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\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\u003eOLS regression results for ESG integration\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"5\"\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 \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVariable\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCoefficient\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eStandard Error\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003et-Statistic\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003ep-Value\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eConstant\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.85\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\u003e3.36\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.0008\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFinancial Performance\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.47\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e3.92\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGovernance Practices\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.38\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e4.22\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDrivers\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.27\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e3.38\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.0008\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBarriers\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e-0.32\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e-3.20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.0016\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAdjusted R\u0026sup2;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.60\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eThe model demonstrates that financial performance significantly impacts ESG integration, strongly supporting Hypothesis \u003cspan refid=\"FPar1\" class=\"InternalRef\"\u003e1\u003c/span\u003e. The coefficient of 0.47 indicates a significant positive relationship, suggesting that improved financial outcomes are associated with comprehensive ESG integration strategies.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec23\" class=\"Section2\"\u003e \u003ch2\u003e6.5. Testing hypothesis \u003cspan refid=\"FPar2\" class=\"InternalRef\"\u003e2\u003c/span\u003e: Regulatory frameworks and cultural obstacles\u003c/h2\u003e \u003cp\u003eTo explore Hypothesis \u003cspan refid=\"FPar2\" class=\"InternalRef\"\u003e2\u003c/span\u003e, a regression analysis was conducted to precisely evaluate the impact of regulatory frameworks and cultural obstacles on ESG integration levels.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\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\u003eOLS regression results for hypothesis \u003cspan refid=\"FPar2\" class=\"InternalRef\"\u003e2\u003c/span\u003e\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"5\"\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=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVariable\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCoefficient\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eStandard Error\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003et-Statistic\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003ep-Value\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eConstant\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5.20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.82\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e6.34\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.000\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eWeak Regulatory Framework\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-0.54\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-3.60\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.0004\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCultural Obstacles\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-0.36\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-3.27\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.0012\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eStrong Drivers\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.28\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e3.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.0023\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAdjusted R\u0026sup2;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.55\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVariable\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCoefficient\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eStandard Error\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003et-Statistic\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003ep-Value\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eThe results indicate that firms operating within weak regulatory frameworks and facing cultural obstacles present significantly lower ESG integration levels, providing strong support for Hypothesis \u003cspan refid=\"FPar2\" class=\"InternalRef\"\u003e2\u003c/span\u003e. The negative coefficients for weak regulatory frameworks (-0.54) and cultural obstacles (-0.36) indicate their detrimental impact on ESG practices.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec24\" class=\"Section2\"\u003e \u003ch2\u003e6.6. Testing hypothesis \u003cspan refid=\"FPar3\" class=\"InternalRef\"\u003e3\u003c/span\u003e: Regional variations\u003c/h2\u003e \u003cp\u003eTo evaluate Hypothesis \u003cspan refid=\"FPar3\" class=\"InternalRef\"\u003e3\u003c/span\u003e, a multivariate analysis of variance (MANOVA) was conducted to assess regional influences on ESG integration practices.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab8\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 8\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eMANOVA results by region\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\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 \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRegion\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eMean ESG Score\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eMean Financial Performance\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eSignificance (p)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAsia\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e7.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e9.00%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.003\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLatin America\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e6.50\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e7.50%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.012\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAfrica\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e6.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e8.00%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.025\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEastern Europe\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e5.80\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e6.50%\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.045\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eThe outcomes of the MANOVA indicate significant regional differences in ESG integration scores, supporting Hypothesis \u003cspan refid=\"FPar3\" class=\"InternalRef\"\u003e3\u003c/span\u003e. Asian firms demonstrate the highest integration levels (7.10), while those in Eastern Europe exhibit the lowest (5.80). Regional economic and regulatory conditions strongly influence the ESG practices observed among emerging market companies.\u003c/p\u003e \u003cp\u003eThe analysis provided substantial support for the study's hypotheses. Notably, firms in emerging markets demonstrating comprehensive ESG integration strategies exhibited enhanced financial performance compared to those with minimal practices (Hypothesis \u003cspan refid=\"FPar1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). Likewise, weak regulatory frameworks and cultural obstacles significantly hindered ESG integration levels (Hypothesis \u003cspan refid=\"FPar2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). Furthermore, substantial regional variations in ESG integration practices confirmed the impact of local economic and regulatory conditions (Hypothesis \u003cspan refid=\"FPar3\" class=\"InternalRef\"\u003e3\u003c/span\u003e).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec25\" class=\"Section2\"\u003e \u003ch2\u003e6.7. Robustness tests\u003c/h2\u003e \u003cp\u003eTo ensure the reliability and validity of our findings, we conducted a series of robustness tests (William, \u003cspan citationid=\"CR68\" class=\"CitationRef\"\u003e2024a\u003c/span\u003e). These tests examined the sensitivity of the results to different model specifications, variable definitions, and potential outliers. This section outlines the methods used for these robustness checks and presents the corresponding results.\u003c/p\u003e \u003cdiv id=\"Sec26\" class=\"Section3\"\u003e \u003ch2\u003e6.7.1. Alternative model specifications\u003c/h2\u003e \u003cp\u003eWe re-estimated our primary regression models using alternative specifications to confirm the consistency of our findings. Specifically, we employed:\u003c/p\u003e \u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eLog-linear models: Transforming the dependent variable (ESG integration score) into a logarithmic form to address potential non-linearity.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eFixed effects models: Implementing a fixed effects approach for panel data analysis, controlling for unobserved heterogeneity across firms by accounting for time-invariant characteristics (William, \u003cspan citationid=\"CR70\" class=\"CitationRef\"\u003e2024c\u003c/span\u003e).\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab9\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 9\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eAlternative model specifications results\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"6\"\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=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eModel Specification\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eFinancial Performance Coeff.\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eGovernance Practices Coeff.\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eDrivers Coeff.\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eBarriers Coeff.\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eAdjusted R\u0026sup2;\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOriginal OLS\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.47\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\u003e0.27\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e-0.32\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.60\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLog-Linear Model\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.44\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\u003e0.24\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e-0.30\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.58\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFixed Effects\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.42\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\u003e0.25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e-0.28\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.59\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eThe coefficients from the alternative model specifications are consistent with our original findings, indicating that the relationship between ESG integration and financial performance remains robust across different analytical strategies. The adjusted R\u0026sup2; values also show similar explanatory power.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec27\" class=\"Section3\"\u003e \u003ch2\u003e6.7.2. Variable definition sensitivity\u003c/h2\u003e \u003cp\u003eWe recalculated the ESG integration score using a different weighting approach to examine the robustness concerning variable definitions. Instead of the initial equal-weighting method, we used a principal component analysis (PCA) to derive a factor score for ESG integration.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab10\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 10\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eSensitivity analysis of ESG integration score\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\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 \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVariable\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCoefficient (Original)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eCoefficient (PCA)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eChange (%)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFinancial Performance\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.47\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\u003e-4.26%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGovernance Practices\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.38\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.37\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e-2.63%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDrivers\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.27\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\u003e-3.70%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBarriers\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e-0.32\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e-0.30\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e+\u0026thinsp;6.25%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eThe coefficients obtained using the PCA-based ESG integration score are similar to those derived from the original calculations, providing further validation that our conclusions regarding the impact of ESG factors on financial performance are robust to changes in how variables are defined.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec28\" class=\"Section3\"\u003e \u003ch2\u003e6.7.3. Outlier analysis\u003c/h2\u003e \u003cp\u003eTo evaluate the impact of outliers on our results, we utilized Cook\u0026rsquo;s Distance to identify influential data points. We subsequently re-ran our models after excluding observations identified as influential outliers.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab11\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 11\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eResults After Excluding Outliers\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\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 \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVariable\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCoefficient (With Outliers)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eCoefficient (Without Outliers)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eChange (%)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFinancial Performance\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.47\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.50\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e+\u0026thinsp;6.38%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGovernance Practices\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.38\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.40\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e+\u0026thinsp;5.26%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDrivers\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.27\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\u003e-3.70%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBarriers\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e-0.32\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e-0.31\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e+\u0026thinsp;3.13%\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eThe results remain stable even after removing outliers, with minor fluctuations in coefficient values. It indicates that extreme values did not unduly influence the relationships examined in this study.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec29\" class=\"Section3\"\u003e \u003ch2\u003e6.7.4. Subgroup analysis\u003c/h2\u003e \u003cp\u003eSubgroup analyses were performed based on industry sectors and firm size to assess the robustness of our findings across different subsets of the data. This analysis helps ascertain if the relationships observed in our study are consistent across diverse contexts.\u003c/p\u003e \u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eIndustry-wise comparison: Firms in financial services versus manufacturing sectors.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eFirm size comparison: Large versus small firms, using total assets as a cutoff.\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab12\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 12\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eSubgroup analysis results\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"5\"\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 \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSubgroup\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eFinancial Performance Coeff.\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eGovernance Practices Coeff.\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eDrivers Coeff.\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eBarriers Coeff.\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFinancial Services\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.55\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\u003e0.30\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e-0.25\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\u003e0.40\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\u003e0.20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e-0.35\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLarge Firms\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.50\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.40\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.28\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e-0.30\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSmall Firms\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.42\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.30\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.23\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e-0.28\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eThe coefficients across industry segments display variations in strength, suggesting that ESG integration dynamics may differ by sector. Notably, firms in financial services demonstrate a stronger positive relationship with financial performance than manufacturing firms, reinforcing the notion that contextual factors significantly influence ESG practices.\u003c/p\u003e \u003cp\u003eThe robustness tests affirm the reliability of our primary findings regarding ESG integration in emerging markets. Results from varying model specifications, variable definitions, outlier analyses, and subgroup analyses converge on the same vital relationships. This comprehensive approach strengthens our confidence in the conclusions drawn concerning the impact of ESG practices on financial performance, the role of regulatory environments and cultural factors, and region-specific variations.\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e"},{"header":"7. Discussions","content":"\u003cdiv id=\"Sec31\" class=\"Section2\"\u003e \u003ch2\u003e7.1. Building on prior research findings\u003c/h2\u003e \u003cp\u003eThis study provides significant evidence reinforcing existing literature on the positive relationship between ESG integration and corporate financial performance. Consistent with previous findings by Kim and Li (\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e2021\u003c/span\u003e) and Chen (\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2022\u003c/span\u003e), our results showcase a moderate but meaningful correlation (r\u0026thinsp;=\u0026thinsp;0.52) between ESG practices and financial outcomes, supporting Hypothesis \u003cspan refid=\"FPar1\" class=\"InternalRef\"\u003e1\u003c/span\u003e. It corroborates that firms with robust ESG strategies are better positioned to achieve enhanced financial performance. This fact is critically important for stakeholders seeking long-term sustainability in their investment decisions. Notably, our study also aligns with Ab Aziz et al. (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2023\u003c/span\u003e) observations regarding the importance of governance structures, which play a pivotal role in shaping ESG outcomes. Governance practices, such as board diversity and the establishment of ESG committees, emerged as significant drivers of ESG integration, echoing previous research emphasizing corporate governance's role in fostering responsible business practices.\u003c/p\u003e \u003cp\u003eFurthermore, exploring drivers and barriers contributes to the nuanced understanding of factors that facilitate or hinder ESG integration in emerging markets. The barriers identified, including regulatory weaknesses and cultural obstacles, resonate with findings from Eccles et al. (\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2017\u003c/span\u003e) and Wang (\u003cspan citationid=\"CR67\" class=\"CitationRef\"\u003e2024\u003c/span\u003e), emphasizing the need for enhanced regulatory clarity and cultural transformation to promote sustainable business practices. This highlights the pressing requirement for tailored regulatory frameworks to mitigate these barriers, enabling greater ESG adoption across varying contexts.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec32\" class=\"Section2\"\u003e \u003ch2\u003e7.2. Deviation from anterior research trends\u003c/h2\u003e \u003cp\u003eWhile much of the existing research has predominantly focused on developed markets, particularly how they implement and benefit from ESG integration, our study deviates from this trend by concentrating explicitly on emerging markets. This shift is critical, as emerging economies often face distinct challenges and opportunities in ESG adoption. Previous studies have largely overlooked the comparative aspect of ESG integration across different emerging economies, which our research addresses through a robust analysis involving varied geopolitical contexts, thereby providing fresh insights into the multifaceted nature of ESG practices.\u003c/p\u003e \u003cp\u003eMoreover, our findings reveal a significant variance in ESG integration across regions, a dimension that has received insufficient attention in the literature. The MANOVA results indicate that Asian firms exhibit the highest ESG integration scores. At the same time, those in Eastern Europe show the lowest, challenging the notion of a uniform trajectory toward ESG adoption across emerging markets. This distinction emphasizes that local economic and regulatory conditions play a pivotal role in shaping ESG practices, suggesting that blanket strategies used in developed markets may yield different outcomes in emerging contexts. This insight prompts further exploration into region-specific strategies that align with local challenges and regulatory landscapes.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec33\" class=\"Section2\"\u003e \u003ch2\u003e7.3. Novelty of the study\u003c/h2\u003e \u003cp\u003eThe novelty of this study lies in its comprehensive comparative analysis that not only identifies current ESG integration practices but also delves into the key drivers and barriers influencing these practices within multiple emerging markets. This research contributes a much-needed empirical foundation to the discussions surrounding ESG in emerging economies by utilizing a mixed-methods approach that combines empirical analysis with robust statistical testing. The practical implications of our findings are far-reaching; they provide valuable insights for policymakers and corporate leaders aiming to enhance ESG adoption, promote transparency, and foster sustainability within their jurisdictions.\u003c/p\u003e \u003cp\u003eMoreover, this research introduces the concept of \"shared learning\" from successful ESG strategies observed in various emerging economies. This idea provides a fresh perspective on how countries and organizations can leverage collaborative networks to improve ESG practices. Acknowledging shared learning not only enriches theoretical discussions but also paves the way for actionable strategies that can be tailored to fit emerging markets' unique cultural and institutional contexts.\u003c/p\u003e \u003c/div\u003e"},{"header":"8. Conclusion","content":"\u003cdiv id=\"Sec35\" class=\"Section2\"\u003e \u003ch2\u003e8.1. Summary of the results\u003c/h2\u003e \u003cp\u003eThis study addressed the research question: How do companies in emerging markets incorporate ESG factors into their corporate governance practices, and what are the key drivers and barriers to ESG integration in these regions? Our findings reveal that companies in emerging markets increasingly incorporate ESG practices into their governance frameworks, albeit at varying levels of adoption depending on regional contexts.\u003c/p\u003e \u003cp\u003eThe primary objectives of this research were to identify current ESG integration practices in selected emerging markets, explore the drivers and barriers influencing these practices, and compare ESG integration approaches across different emerging economies. The results indicate that effective ESG integration practices encompass structured policies, comprehensive stakeholder engagement, and transparent reporting mechanisms. Key drivers included regulatory support, stakeholder influence, and market demand, while barriers such as weak regulatory frameworks, cultural resistance, and lack of high-quality ESG data significantly hindered integration efforts. Furthermore, significant regional disparities were observed; Asian firms exhibited superior ESG integration compared to those in Eastern Europe, underscoring the influence of localized economic and regulatory conditions. These insights contribute to a nuanced understanding of how emerging economies navigate the complexities of ESG integration amidst varying influences.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec36\" class=\"Section2\"\u003e \u003ch2\u003e8.2. Managerial implications of the study\u003c/h2\u003e \u003cp\u003eThe findings from this research carry considerable implications for managers and corporate leaders operating in emerging markets. First, the study underscores the importance of establishing comprehensive ESG frameworks that are aligned with regulatory requirements and resonate with stakeholder expectations. By fostering stakeholder engagement and enhancing transparency in ESG reporting, companies can build stronger relationships with investors, communities, and other stakeholders, amplifying trust and credibility.\u003c/p\u003e \u003cp\u003eAdditionally, management should prioritize overcoming identified barriers to ESG integration, such as advocating for more robust regulatory support and training to elevate organizational understanding of ESG principles. Proactively addressing these challenges can facilitate smoother transitions towards more sustainable business practices, ultimately enhancing corporate reputation and financial performance.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec37\" class=\"Section2\"\u003e \u003ch2\u003e8.3. Theoretical contributions of the study\u003c/h2\u003e \u003cp\u003eThis study contributes to the theoretical landscape concerning ESG integration by applying a dual theoretical framework, combining Resource Dependence Theory and Legitimacy Theory. This integrated approach enriches our understanding of how external pressures and societal expectations motivate firms to adopt ESG strategies. By considering both the dependence on external resources and the need for legitimacy, the research reveals the intricate dynamics in shaping corporate governance structures and ESG practices in emerging markets.\u003c/p\u003e \u003cp\u003eMoreover, this research highlights the role of contextual factors\u0026mdash;including regulatory, economic, and cultural elements\u0026mdash;as essential drivers and inhibitors of ESG integration. This contribution not only broadens the theoretical scope of ESG research but also emphasizes the need for region-specific analyses that acknowledge the unique challenges and opportunities in different emerging economies.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec38\" class=\"Section2\"\u003e \u003ch2\u003e8.4. Shortcomings of the study and avenues for exploration\u003c/h2\u003e \u003cp\u003eDespite its contributions, this study has limitations. One key drawback is the focus on a limited number of emerging markets, which may impact the generalizability of the findings. The complexities of ESG integration can vary widely even within the same region, and a more expansive geographical analysis might yield further insights into the intricacies of ESG practices across diverse contexts.\u003c/p\u003e \u003cp\u003eAdditionally, while the study employed a comprehensive methodology, the reliance on quantitative data may overlook important qualitative insights, such as stakeholders' lived experiences and perceptions regarding ESG initiatives. Future research could benefit from incorporating qualitative approaches, such as case studies or interviews, to gain deeper insights into the motivations and challenges associated with ESG integration in emerging markets.\u003c/p\u003e \u003cp\u003eFuture research avenues could explore the longitudinal effects of ESG integration on corporate performance over time, particularly in dynamic emerging market environments. Understanding how ESG strategies evolve and influence long-term sustainability may provide valuable guidance for managers and policymakers. Additionally, a comparative analysis of emerging markets with varying degrees of integration could shed light on effective practices and lessons learned that could be applied in less proactive regions.\u003c/p\u003e \u003cp\u003eMoreover, examining the interplay of cultural factors in shaping stakeholder perceptions of ESG practices could yield new insights into how companies can better navigate the complexities of their operating environments. Finally, expanding the scope to incorporate perspectives from various stakeholders, including investors, regulators, and local communities, could enhance understanding of the multidimensional impact of ESG integration strategies.\u003c/p\u003e \u003c/div\u003e"},{"header":"References","content":"\u003col\u003e\n \u003cli\u003eAb Aziz, N.H., Abdul Latif, A.R., Osman, M.N., \u0026amp; Alshdaifat, S.M. (2023). 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Consideration of ESG factors in investors\u0026rsquo; activities: Experience of individual countries. \u003cem\u003eEconomics and Management\u003c/em\u003e.\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"Sanya University","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":"Barriers, Corporate Governance, Drivers, Emerging Markets, ESG Integration, Integration Practices","lastPublishedDoi":"10.21203/rs.3.rs-5495641/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5495641/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis study investigates integrating environmental, social, and governance (ESG) factors into corporate governance practices among companies in emerging markets. Despite the growing global importance of ESG considerations, significant gaps remain in understanding how these practices are adopted within the unique contexts of these economies. The study uses a quantitative research paradigm to analyze data from a sample of 250 companies across diverse sectors, including finance, manufacturing, energy, and technology. To establish a robust empirical foundation, data is sourced from reliable secondary materials, specifically corporate disclosures, industry reports, and financial databases. Employing Ordinary Least Squares (OLS) regression analysis, the study explores the impacts of governance practices, drivers, and barriers on ESG integration, effectively capturing the complexities of these interactions. The research identifies several effective ESG integration practices, including structured policies, comprehensive stakeholder engagement, and transparent reporting mechanisms. Critical drivers for integration include solid regulatory support, active stakeholder influence, and rising market demand for sustainability.\u003c/p\u003e \u003cp\u003eConversely, significant barriers to effective ESG integration include weak regulatory frameworks, cultural resistance, and a lack of high-quality ESG data. Notably, regional disparities emerged, with Asian firms exhibiting superior ESG integration compared to those in Eastern Europe, underscoring the importance of localized economic and regulatory conditions. This research contributes to the literature by comprehensively analyzing ESG integration practices in emerging markets. It emphasizes the need for tailored strategies that account for contextual factors, thus offering valuable insights for corporate leaders navigating sustainability in dynamic environments.\u003c/p\u003e","manuscriptTitle":"ESG Integration in Corporate Governance: A Comparative Study of Practices in Emerging Markets","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-11-25 03:24:34","doi":"10.21203/rs.3.rs-5495641/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":"36455558-3e80-4a08-88fb-6fc7f134c3aa","owner":[],"postedDate":"November 25th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2024-11-25T03:24:34+00:00","versionOfRecord":[],"versionCreatedAt":"2024-11-25 03:24:34","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-5495641","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-5495641","identity":"rs-5495641","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}