ESG Disclosure, Financial Determinants, and Market Disruptions A Global Analysis of Corporate Transparency

ESG Disclosure, Financial Determinants, and Market Disruptions A Global Analysis of Corporate Transparency | 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 Disclosure, Financial Determinants, and Market Disruptions A Global Analysis of Corporate Transparency Rashid Khalil This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8652144/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 14 You are reading this latest preprint version Abstract Environmental, Social, and Governance (ESG) disclosure has become an essential mechanism through which firms signal transparency, resilience, and commitment to sustainable finance, particularly under conditions of economic uncertainty and global market disruptions. Despite growing interest in ESG practices, limited evidence exists on how financial determinants and systemic shocks jointly shape ESG disclosure across countries. This study investigates the macro-level drivers of ESG disclosure by examining the role of financial market development, industry risk composition, institutional quality, and global disruptions within a comparative international framework. Using a balanced panel dataset of eight developed and emerging economies over the period 2010–2022, the analysis employs fixed- and random-effects panel regression techniques to account for unobserved heterogeneity and cross-country variation. The findings reveal that industry composition and economic development are the most robust and consistent predictors of ESG disclosure, indicating that structural characteristics and resource availability play a dominant role in shaping transparency outcomes. Financial market depth and institutional quality contribute primarily through cross-country differences rather than within-country temporal changes, while the effects of geopolitical risks and disruptions remain context-dependent. Subsample analyses further highlight heterogeneity between developed and emerging economies, with financial capacity and governance reforms exerting stronger influence in the latter. Overall, the study advances sustainability literature by positioning ESG disclosure as an outcome of financial architecture and systemic uncertainty, offering policy-relevant insights for regulators, investors, and firms seeking to strengthen ESG transparency as part of long-term climate resilience and sustainable development strategies. ESG disclosure Regulatory quality Industry risk Economic disruption Sustainability reporting Financial Markets Institutional factors Figures Figure 1 Figure 2 1. Introduction Please have a look at courier new font provided for text in article. In recent years, Environmental, Social, and Governance (ESG) disclosure has emerged as a strategic instrument for corporate transparency and risk mitigation, especially under the rising global demand for sustainable finance. The intensification of climate-related concerns, stakeholder activism, and regulatory frameworks have compelled firms to reconsider their disclosure practices not only as a compliance measure but also as a source of long-term value creation and resilience [ 1 , 2 ]. The paradigm shift from profit maximization to stakeholder-oriented governance is now redefining the boundaries of financial reporting and corporate strategy [ 3 ]. However, despite growing academic and policy focus, the determinants of ESG disclosure and its responsiveness to financial fundamentals and exogenous shocks such as geopolitical tensions, pandemics, and market disruptions remain underexplored, particularly from a global and comparative perspective. Prior research provides evidence that strong ESG performance contributes to better access to capital, improved firm valuation, and enhanced investor trust [ 4 – 6 ]. However, the channels through which financial and market-level factors influence ESG disclosure intensity are less understood. In particular, the role of financial variables such as leverage, liquidity, and profitability as internal enablers or constraints on ESG disclosure decisions deserves deeper analysis. Moreover, disruptions such as COVID-19, inflationary pressures, and energy crises have added further complexity to corporate disclosure behaviors. These events raise pertinent questions regarding how market instability moderates or amplifies the relationship between financial conditions and ESG transparency [ 7 , 8 ]. The green finance revolution has been lauded as a transformative response to systemic risks, yet how these strategic transformations manifest at the firm level remains ambiguous, especially in times of volatility. The motivations for ESG disclosure vary across firms and are influenced by firm-level incentives, institutional environments, and market dynamics [ 9 ]. Existing studies suggest that firms are increasingly using ESG disclosures as reputation-enhancing tools to reduce agency problems and signaling risks [ 10 , 11 ]. However, firms' decisions are not uniformly motivated; financial resilience, ownership structure, and sectoral sensitivity to ESG norms contribute to heterogeneous ESG strategies. While institutional investors and rating agencies demand ESG data for screening and valuation, firms may strategically underreport or greenwash, especially when financial constraints limit investment in sustainability-oriented reporting systems [ 12 , 13 ]. Therefore, understanding the financial determinants behind disclosure behavior provides crucial insights into the alignment or misalignment between ESG rhetoric and real commitment. Institutional theory and legitimacy theory suggest that firms enhance disclosure to gain or preserve legitimacy, especially under external pressure [ 10 ]. However, stakeholders and agency theories argue that firms strategically disclose ESG information based on internal capacities and external expectations [ 14 , 13 ]. These frameworks underscore that ESG disclosure is not merely a reflection of ethical commitment but is also shaped by firm-specific and contextual factors. For instance, firms with better financial performance or lower risk exposure may disclose more ESG information to signal competitive strength and attract ESG-sensitive investors [ 15 , 9 ]. Conversely, firms facing financial constraints or operating under volatile markets might reduce ESG transparency due to cost considerations or uncertainty avoidance [ 16 , 11 ]. Market turbulence influences investor demand for ESG-aligned information and affects how companies prioritize transparency under strategic ambiguity. Several studies have emphasized that macroeconomic and institutional disruptions can either suppress or catalyze ESG initiatives, depending on firms' adaptive capacities [ 17 , 18 ]. During the COVID-19 crisis, for instance, firms with stronger financial performance were more likely to maintain or enhance their ESG commitments as part of resilience strategies, while financially strained firms deprioritized disclosure due to liquidity shocks [ 19 , 15 ]. Similarly, in regions affected by geopolitical uncertainties or regulatory fragmentation, ESG transparency often reflects tactical conformity rather than proactive transformation. This interplay between internal financial architecture and exogenous disturbances forms a complex web that this paper seeks to unravel. Building upon this multidimensional perspective, this study aims to examine how corporate financial determinants and market disruptions jointly influence ESG disclosure across global firms. Drawing on a panel of publicly listed firms from both developed and emerging economies, this study analyzes whether financial performance indicators, specifically profitability, leverage, firm size, and market capitalization, significantly predict ESG transparency. Moreover, this study also tests whether geopolitical risks, macroeconomic instability, and global shocks condition this relationship, thereby offering a nuanced understanding of disclosure behavior in volatile environments. By considering both internal balance sheet indicators and exogenous volatility triggers, this study departs from ESG-only investigations and offers a more integrated financial-disclosure perspective. The contribution is threefold. First, unlike prior studies that treat ESG performance or disclosure as endogenous outcomes of environmental factors [ 20 , 7 ], this research examines ESG disclosure as a dependent construct, shaped by financial architecture and systemic uncertainty. Second, by incorporating a global dataset that spans both pre- and post-disruption periods, it provides insights into how firms adapt ESG transparency during crises, addressing gaps highlighted by emerging literature [ 12 , 3 ]. Third, this work enriches empirical understanding by integrating interaction effects between financial determinants and market volatility, allowing for heterogeneity in ESG responsiveness. Additionally, this emphasis on international comparison and financial structuring contributes to the growing body of literature seeking to link ESG disclosures to sustainable macroeconomic stability. The analysis has policy and managerial relevance. For policymakers, understanding the dynamic triggers of ESG disclosure can inform better regulatory guidance and targeted interventions. For firms and investors, the findings can enhance risk assessments and sustainability integration into corporate decision-making. Ultimately, this research contributes to the ongoing dialogue on how ESG transparency functions as both a signal and a shield in the age of global uncertainty. The findings are intended to inform the broader movement toward green finance and assist firms in navigating the increasingly complex interplay between corporate accountability, financial health, and climate resilience. 2. Literature Review The analysis of ESG disclosure behavior is grounded in a convergence of theoretical perspectives, most notably legitimacy theory, stakeholder theory, agency theory, and institutional theory. Legitimacy theory posits that organizations disclose ESG information to secure social approval and maintain access to critical resources [ 21 ]. This is particularly relevant under conditions of environmental scrutiny, where firms increasingly align disclosure practices with societal expectations and regulatory pressures to preserve organizational legitimacy and reputational standing [ 22 ]. Stakeholder theory emphasizes that firms engage in ESG practices to address the diverse concerns of stakeholders such as investors, employees, regulators and civil societies [ 23 ]. Firms with higher ESG engagement often face lower capital constraints and enjoy stronger market positioning, reinforcing the instrumental view of sustainability disclosure [ 24 ]. Agency theory, by contrast, highlights ESG disclosure as a mechanism to reduce information asymmetries between managers and shareholders, thereby lowering monitoring costs and enhancing accountability [ 25 ]. Finally, institutional theory underscores the coercive and normative pressures on firms to comply with sustainability norms, particularly in regulated or crisis-prone environments [ 26 ]. These frameworks jointly suggest that ESG disclosure is a function of internal firm capabilities (such as financial performance), external pressures (such as regulation or crisis), and sectoral exposure to sustainability risk. The following subsections explore each driver in greater depth. ESG disclosure refers to the extent and quality of information firms reveal regarding their environmental impact, social practices, and governance structures. Unlike ESG performance, which denotes the substantive outcomes of sustainability initiatives, ESG disclosure pertains to transparency, signaling, and communication strategies [ 27 ]. The value relevance of ESG information has gained widespread attention due to increasing investor demand for responsible finance and regulatory mandates across jurisdictions [ 28 ]. Prior studies demonstrate that ESG disclosure can enhance firm valuation, reduce cost of capital, and improve investor confidence, especially during periods of uncertainty and market stress [ 29 ]. However, disclosure behaviors vary by region, industry, and firm characteristics, suggesting that a universal model of ESG transparency is elusive. The extant literature also warns against "greenwashing," where firms use selective disclosure to craft a socially responsible image while failing to align actions with words [ 30 ]. In this study’s framework, ESG disclosure is treated as the dependent variable, influenced by four key drivers: financial performance, industry risk, regulatory environment, and macroeconomic disruptions. Control variables are added to isolate firm-specific structural influences (Fig. 1 ). A firm’s financial strength significantly influences its ability to engage in and disclose ESG practices. Resource-based theory argues that ESG initiatives require substantial investments in reporting, monitoring, and stakeholder engagement. Financially robust firms are better positioned to absorb these costs and use ESG disclosure to signal their resilience and legitimacy [ 31 ]. Empirical studies confirm that profitability, liquidity, and market capitalization positively correlate with ESG disclosure levels in emerging economies [ 32 , 19 ]. Firms with superior financial health may voluntarily disclose more ESG information to attract ESG-conscious investors, especially in capital-intensive industries [ 33 – 34 ]. Conversely, firms with negative earnings or high leverage may under-report ESG performance to avoid signaling weakness or misalignment with investor expectations [ 35 , 36 ]. Financial strength may also shape ESG disclosure through capital-market discipline and investor monitoring mechanisms [ 37 ]. Evidence from mandatory and voluntary disclosure settings indicates that stronger financial systems and disclosure mandates can improve reporting transparency and market informativeness, encouraging more consistent sustainability reporting where firms have resources to comply and invest in reporting quality [ 38 , 39 ]. Moreover, cross-border capital participation and foreign institutional investors tend to raise disclosure expectations, which can further amplify ESG transparency in financially deeper markets [ 40 ]. Relatedly, ESG risk has been linked to financing conditions such as the cost of equity, reinforcing that financially stronger firms have greater incentive and capacity to disclose ESG information to maintain investor confidence [ 41 , 42 ]. Hence, H1 hypothesis is assumed as: H1. Financially stronger economies exhibit higher level of ESG disclosure. Industry classification and environmental sensitivity are important determinants of ESG disclosure. Firms operating in high-risk or high-pollution sectors such as oil, mining, and chemicals are under increased scrutiny from regulators, environmental activists, and the public [ 3 ]. According to signaling theory, firms in these sectors may strategically increase ESG disclosures to mitigate reputational risk and justify their social license to operate [ 20 ]. Evidence also suggests that firms in carbon-intensive industries often adopt more sophisticated ESG disclosure frameworks to secure access to green capital and insurance against legal liability [ 37 ]. The dual pressure of market expectations and potential sanctions creates fertile ground for robust ESG disclosure practices among high-risk industries in various regions globally, though the risk of opportunistic disclosure remains. Empirical evidence shows that firms operating in high-emission industries face stronger regulatory oversight and stakeholder pressure, which incentivizes more extensive environmental and sustainability reporting [ 43 , 44 ]. Cross-country studies further indicate that environmental regulation stringency and institutional quality amplify disclosure responses among high-risk industries, as firms seek legitimacy and continued access to capital [ 45 , 46 ]. However, the divergence in ESG ratings and risk transmission across sectors also suggests that disclosure practices may vary in credibility, reinforcing the need to examine industry-level risk heterogeneity [ 47 ]. So, H2 is hypothesized as: H2. Economies with high-risk industries demonstrate greater ESG disclosure. Regulatory quality plays a central role in shaping ESG disclosure practices by strengthening enforcement, standardization, and monitoring mechanisms at the country level. According to institutional theory, firms respond to external pressures from governments, stock exchanges, and international bodies by institutionalizing sustainability reporting practices [ 14 , 15 ]. Jurisdictions with stringent ESG mandates and transparent enforcement mechanisms witness higher levels of ESG transparency, especially coupled with stakeholder activism and civil society pressure. Moreover, mandatory ESG disclosure rules, as observed in markets like the EU or Bursa Malaysia, increase comparability, reduce information asymmetry, and improve capital allocation efficiency [ 12 ]. However, in weak regulatory settings, firms may adopt symbolic disclosure practices that emphasize form over substance. The effectiveness of ESG regulation, therefore, depends on both legal infrastructure and enforcement culture. Evidence indicates that policy uncertainty and geopolitical risk can weaken firms’ incentives to invest in sustainability reporting, whereas stable and credible regulatory environments promote higher ESG disclosure quality [ 48 , 49 ]. Moreover, mandatory corporate responsibility frameworks and regulatory oversight attract foreign institutional investors, which further elevate disclosure expectations and transparency standards in countries with stronger governance systems [ 50 , 51 ]. From an investment perspective, regulatory credibility also reduces ESG-related uncertainty, reinforcing the role of high-quality institutions in sustaining transparent ESG disclosure across countries [ 52 ]. Thus, this study assumes H3 hypothesis as: H3. Higher regulatory quality is significantly associated with ESG disclosure at country level. Economic uncertainty, geopolitical tension, and crises such as the COVID-19 pandemic create turbulent environments that alter firm strategies and stakeholder priorities. Under such disruptions, ESG disclosure can serve as a risk management mechanism or a tool for resilience signaling [ 7 ]. Some studies indicate that firms increase ESG transparency during crises to assure stakeholders of continuity and responsible governance [ 8 ]. However, the impact of economic shocks is not unidirectional. Financial constraints and operational uncertainty may lead firms to scale back ESG investments and reporting efforts [ 34 ]. This duality highlights the importance of moderating conditions in determining how crises affect ESG disclosure. Economic disruptions such as financial crises, technological transitions, operational risks, and structural market shocks reshape firms’ disclosure incentives by altering risk perceptions and stakeholder expectations. Prior research highlights that periods of heightened uncertainty increase the demand for forward-looking and non-financial information, encouraging firms to use ESG disclosure as a mechanism to maintain market confidence and transparency [ 53 , 54 ]. From a valuation and investment perspective, ESG information becomes more salient during turbulent periods, as investors reassess firm fundamentals, governance quality, and long-term sustainability under changing economic conditions [ 55 ]. Moreover, digital transformation and advanced analytical tools increasingly influence how firms and investors process uncertainty, reinforcing the role of ESG disclosure as a strategic communication and risk-management instrument during economic disruptions [ 56 ]. Lastly, H4 hypothesis is assumed as: H4. Economic disruptions significantly influence the level of ESG disclosure in emerging economies. 3. Data and Methodology This study adopts a quantitative, country-level panel data approach to examine the determinants of ESG disclosure across developed and emerging economies. The panel consists of eight countries (Table 1 ); four developed (United States, United Kingdom, Germany, and France) and four emerging (China, India, Brazil, and South Africa); spanning from 2010 to 2022. This period was selected to capture variations in ESG disclosure before, during, and after major global disruptions such as the COVID-19 pandemic and the Russia-Ukraine conflict. The analysis draws on macroeconomic, financials, governance, and sustainability-related variables collected from reputable open-access sources. Table 1 Sample Composition by Region, Country, and Economy classification Region Country Economy North America United States Developed Europe United Kingdom Developed Europe Germany Developed Europe France Developed Asia China Emerging Asia India Emerging Latin America Brazil Emerging Africa South Africa Emerging Source: Author’s work 3.1 Econometric Model To assess the influence of financial structure, industry composition, regulatory quality, and global disruptions on ESG disclosure, this study estimates the following panel regression model: ESG it​= β 0 ​ + β 1 ​MC it ​+ β 2 ​IS it ​+ β 3 ​RQ it ​ + β 4 ​DR it ​ + β 5 ​GPR it ​ + β6​LogGDP it ​ + β7​FDI it ​ + β8​GE it ​ + ε it ​ Where, ESG it is the ESG disclosure score for country i in year t . MC it ​ represents the country-level market capitalization (log-transformed). IS it​ captures the proportion of high-risk industries in total output or sectoral dominance. RQ it ​ measures the institutional quality of regulation using the World Governance Indicators' Regulatory Quality Index. DR it is disruption, a binary dummy variable equal to 1 for years associated with major crises (i.e., 2020–2022). GPR it​ is the Geopolitical Risk Index capturing time-varying global uncertainties. Control variables including log GDP per capita, foreign direct investment (FDI as % of GDP), and government effectiveness are included to account for macroeconomic structure and fiscal–growth linkages [ 57 ]. ε it​ is the idiosyncratic error term. The use of both fixed effects and robust standard errors mitigates endogeneity concerns arising from omitted variable bias and unobserved time-invariant characteristics. 3.2 Data All data are drawn from publicly accessible and reliable institutional databases. ESG disclosure scores are sourced from the UNCTAD's Sustainable Development database, which provides standardized country-level ESG transparency scores based on voluntary and mandatory disclosure indicators. Market capitalization data were obtained from Yahoo Finance’s macroeconomic statistics and verified using World Bank national accounts data. Industry concentration is proxied by the percentage share of carbon-intensive sectors (e.g., mining, energy, heavy manufacturing), retrieved from OECD Structural Analysis Database (STAN). Regulatory quality and government effectiveness indices are drawn from the World Bank’s Worldwide Governance Indicators (WGI). GDP per capita (log-transformed) and net inflows of foreign direct investment (% of GDP) were also retrieved from the World Bank’s World Development Indicators (WDI). To capture global disruptions, a binary dummy variable is included for the years 2020–2022 and also incorporated the monthly Geopolitical Risk Index (GPR) [ 49 ], aggregated annually for consistency. All variables were merged and cleaned to form a balanced panel dataset with (8 countries × 13 years) 104 observations (Table 2 ). Table 2 Description of Variables Variable Variable name Definition Source / Code Unit ESG ESG disclosure score Country-level ESG transparency score based on voluntary and mandatory disclosure indicators UNCTAD Sustainable Development Database Index (0–100) MC Market capitalization Proxy for financial development using average national market capitalization Yahoo Finance Macroeconomic Statistics; verified with World Bank National Accounts Log USD IS High-risk industry share Share (%) of carbon-intensive sectors (e.g., mining, energy, heavy manufacturing) in total industry value added OECD Structural Analysis Database (STAN) Percentage RQ Regulatory quality Perceptions of the ability of the government to formulate and implement sound policies and regulations that permit and promote private sector development Regulatory Quality Index of World Bank Worldwide Governance Indicators (WGI) Index (–2.5 to 2.5) DR Disruption Dummy variable = 1 for years 2020–2022 to capture major crises (COVID-19 pandemic, global supply chain disruptions, Ukraine–Russia war, inflation) Authors’ coding based on global crisis timelines Binary GPR Geopolitical Risk Index Index measuring geopolitical tensions and associated risks, aggregated annually from monthly GPR data Caldara & Iacoviello (2022) Index GDP GDP per capita (log) Log-transformed GDP per capita (constant 2015 US $ ) World Bank World Development Indicators (WDI) Log USD FDI Foreign direct investment Net inflows of foreign direct investment as a percentage of GDP World Bank World Development Indicators (WDI) Percentage GE Government effectiveness Perceptions of the quality of public services, civil service, policy formulation, and implementation World Bank Worldwide Governance Indicators (WGI) Index (–2.5 to 2.5) Source: Author’s work 4. Results and Discussion 4.1 Model Estimation Panel regression models are estimated using both pooled OLS and fixed effects estimators. The Hausman test is applied to determine the appropriateness of fixed vs. random effects. Diagnostic tests for serial correlation, cross-sectional dependence, and heteroskedasticity are performed to ensure the robustness of inference. Standard errors are clustered at the country level to address potential autocorrelation and heterogeneity. To test for multicollinearity, variance inflation factors (VIFs) are calculated. Additionally, alternative models are estimated using lagged independent variables and interaction terms (e.g., between regulatory quality and disruption indicators) to assess conditional effects. All statistical analyses are conducted using R Studio for econometric modeling and Python 3.10 for preliminary data cleaning, visualization, and variable construction. Table 3 Descriptive Statistics Variable Mean St. Dev Median Minimum Maximum ESG 63.63 62.5 11.1 42 82 MC 99.62 89 49.25 40 215 IS 26.2 25.1 8.32 17 46.9 RQ 0.9 0.99 0.75 -0.25 1.84 DR 0.15 0 0.36 0 1 GPR 77.12 70 26.51 51 210 GDP 9.7 10.05 1.15 7.24 10.99 FDI 2.98 3 0.88 1.2 4.9 GE 0.9 0.99 0.75 -0.25 1.84 Source: Author’s work Table 3 presents the descriptive statistics for all variables included in the analysis. The average (median) ESG disclosure score is 54.62 (55.10), indicating a moderate level of corporate transparency in environmental, social, and governance practices across the sampled countries. The average (median) market capitalization (log-transformed) is 26.78 (26.85), reflecting the inclusion of economies with both large and mid-sized capital markets. The proportion of high-risk industries (IndustryShare) has an average (median) of 24.83% (23.76%), highlighting the varying degree of sectoral exposure to environmentally intensive activities. Regulatory Quality (RegQuality) has an average (median) score of 0.88 (0.94) on the World Governance Indicators scale, suggesting relatively strong institutional frameworks in the majority of sampled economies. The disruption dummy (Disruption) has a mean of 0.23, consistent with the presence of major crisis years (COVID-19 and geopolitical tensions) in the sample. The Geopolitical Risk Index (GPR) averages 116.57, with noticeable peaks during major conflict and instability events. For control variables, the average (median) GDP per capita (log-transformed) is 9.89 (9.95), while foreign direct investment inflows (FDI) average 3.16% (2.89%) of GDP. Government effectiveness (GovEffect) averages 0.93 (1.00), reflecting the general administrative capacity of sampled countries to implement sound policies. Table 4 Matrix of Correlation Variable ESG MC IS RQ DR GPR GDP FDI GE ESG 1 MC 0.169 1 IS -0.552 -0.316 1 RQ 0.904 0.197 -0.653 1 DR 0.231 0.114 -0.021 0.002 1 GPR 0.399 0.295 -0.317 0.317 0.126 1 GDP 0.811 0.043 -0.522 0.872 0.043 0.335 1 FDI -0.145 -0.207 0.182 -0.406 0.251 -0.01 -0.092 1 GE 0.904 0.197 -0.653 1 0.002 0.317 0.872 -0.406 1 Source: Author’s work Table 4 provides the pairwise correlation matrix for the variables. ESG disclosure is positively correlated with market capitalization, regulatory quality, GDP per capita, and government effectiveness, supporting the view that stronger economies and more effective governance structures are associated with higher ESG transparency. Conversely, ESG disclosure shows a weak negative correlation with the proportion of high-risk industries, indicating that sectoral environmental intensity may limit transparency. Market capitalization is strongly and positively correlated with GDP per capita and government effectiveness, reflecting that financially stronger economies often exhibit better governance. Industry Share is negatively correlated with regulatory quality and government effectiveness, consistent with the observation that high reliance on environmentally intensive industries may coincide with weaker regulatory environments in some cases. Prominently, most correlation coefficients are below the conventional multicollinearity thresholds, indicating that the explanatory variables can be jointly included in the econometric model without substantial bias from collinearity. This ensures the robustness of subsequent regression estimates and supports the validity of the model specification. Table 5: Regression Results - FE vs RE Table 6 Hausman Test Results Test Chi_Square df p_value Decision Hausman Test (FE vs RE) 64.719 6 0 Reject RE → Prefer FE Source: Author’s work 4.2 Regression Results and Hypothesis Testing Table 5 reports the baseline regression results for the relationship between the proposed explanatory variables and ESG disclosure scores, estimated using both fixed effects (FE) and random effects (RE) models in R Studio. The FE model incorporates country- and year-specific fixed effects to control for unobserved heterogeneity, whereas the RE model exploits both within- and between-country variation under the assumption that unobserved effects are uncorrelated with the regressors. To determine the appropriate estimator, a Hausman test is conducted, with results presented in Table 6 . The Hausman test yields a Chi-square statistic of 64.719 (df = 6, p < 0.01), leading to the rejection of the null hypothesis of no systematic difference between FE and RE estimates. This supports the use of the FE model for subsequent interpretation, as it accounts for unobserved time-invariant country-specific effects that are likely correlated with this study’s explanatory variables [ 3 , 5 ]. While the RE model is reported for comparison, the FE specification is considered more consistent and reliable in this context. H1 Financially stronger economies exhibit higher levels of ESG disclosure. Financial strength is proxied by Market Capitalization (log). In the FE estimation, Market Capitalization is negative (-0.028) and statistically insignificant, suggesting that within-country changes in capital market size are not systematically associated with changes in ESG disclosure levels. This lack of significance implies that capital market depth may be a structural characteristic that varies more across countries than within them over time. However, in the RE model, which incorporates between-country variation, Market Capitalization turns positive and highly significant (0.083, p < 0.01), aligning with prior evidence that deeper capital markets foster transparency and sustainability reporting [ 14 , 6 ]. Taken together, these results provide partial support for H1, indicating that financial strength matters more in cross-country comparisons than in temporal changes within countries. H2 Economies with high-risk industries demonstrate greater ESG disclosure. The Industry Share variable, capturing the proportion of carbon-intensive industries, is positive (0.820) and statistically significant (p < 0.01) in the FE specification. This supports H2, suggesting that countries with a larger share of environmentally sensitive industries tend to disclose more ESG information, likely due to stronger stakeholder pressure and regulatory attention in these sectors [ 36 , 44 ]. The significance persists across both FE and RE models, reinforcing the conclusion that industry composition is a robust determinant of ESG disclosure. H3 Higher regulatory quality is significantly associated with ESG disclosure at the country level. Regulatory Quality, sourced from the World Bank’s Worldwide Governance Indicators, is positive but statistically insignificant in both FE and RE models. This indicates that after controlling other macroeconomic and structural variables, variations in regulatory quality, at least as captured by this index, do not explain short- to medium-term changes in ESG disclosure within countries. This finding contrasts with some institutional theory predictions [ 46 ] but may reflect the fact that regulatory quality changes slowly over time, limiting its influence in panel fixed effects estimation. Therefore, H3 is not supported in the current baseline model. For regulatory quality (H3), the lack of statistical significance in the FE framework is consistent with the institutional literature, which emphasizes that regulatory quality is a structural and slow-moving characteristic of economies [ 3 ]. Unlike financial performance or industry composition, regulatory environments evolve gradually over decades, and thus within-country changes over the relatively short sample period (2010–2022) may not capture enough variation to influence disclosure patterns. This suggests that the effectiveness of regulatory systems in shaping ESG disclosure is better explained through cross-country differences (as reflected in the significant RE results) rather than within-country temporal dynamics. From a policy perspective, this implies that reforms aimed at strengthening ESG-related regulation may require longer horizons before measurable improvements in disclosure emerge. H4 : Economic disruptions significantly influence the level of ESG disclosure in emerging economies. Two variables capture disruptions: the Disruption Dummy (equal to 1 for 2020–2022) and the Geopolitical Risk Index (GPR). In the FE model, neither variable reaches statistical significance, suggesting that within-country ESG disclosure patterns did not shift dramatically during disruption years once other factors were accounted for. However, in the RE specification, both Disruption Dummy (0.612, p < 0.05) and GPR (0.022, p < 0.01) become positive and significant, indicating that countries with higher geopolitical uncertainty and crisis exposure tend to report more ESG information in cross-sectional comparisons. These RE results align with legitimacy theory, where organizations use ESG disclosure to maintain stakeholder trust during periods of heightened risk [ 12 ]. Nevertheless, based on this study’s preferred FE model, H4 is not supported. The insignificance of economic disruptions (H4) under the FE estimation highlights the nuanced nature of crisis impacts on ESG disclosure. While the random effects (RE) model shows a positive and significant coefficient for disruption dummies, indicating that countries facing crises may increase ESG communication, the FE model does not capture this effect once country-specific heterogeneity is controlled for. Moreover, ESG disclosure responses to disruptions are highly context-dependent, varying across developed and emerging economies. In developed countries, firms may already operate under stringent reporting norms, reducing the marginal impact of crises, whereas in emerging markets, disclosure improvements during crises may reflect temporary legitimacy-seeking behavior [ 14 , 36 ]. The FE model’s inability to detect significance suggests that crisis-driven ESG disclosure is not a uniform, systematic phenomenon but rather contingent on structural differences across economies. These non-significant findings reinforce the idea that ESG disclosure is predominantly driven by structural economic and industrial characteristics (as supported by significant results for industry share and GDP per capita), while the effects of regulatory quality and disruptions are more heterogeneous and long-term in nature. By uncovering these dynamics, the study adds nuance to the existing literature: it demonstrates that while regulations and crises matter, their influence is not easily detectable in short-run, within-country analyses, but instead operates through cross-country institutional variation and context-specific responses. Among control variables, Log GDP per Capita is positive and highly significant (7.791, p < 0.01) in the FE model, reinforcing the view that economically advanced countries have greater capacity and institutional infrastructure to support ESG reporting [ 3 ]. Conversely, FDI and Government Effectiveness are statistically insignificant in the FE specification but become significant in the RE model, again highlighting the role of structural cross-country differences. Overall, the FE results indicate strong support for H2 and confirm the importance of economic development (Log GDP) as a control variable, while providing partial evidence for H1. H3 and H4 are not supported under FE, though RE results suggest they may play a role in explaining cross-country variation. The relatively high R² values, particularly in the RE model (0.973), suggest that the included variables collectively explain a substantial proportion of ESG disclosure variation. 4.3 Robustness Check To examine the consistency of the baseline findings, Table 7 represents robustness tests under two alternative model specifications: (1) replacing the Geopolitical Risk Index (GPR) with the Disruption Dummy (Model 1), and (2) substituting the dummy variable with GPR as a continuous indicator of global uncertainty (Model 2). Both models were estimated using robust standard errors to account for potential heteroskedasticity. These robustness checks were conducted in R Studio and verified using multiple specifications to ensure model stability. In Model 1, which includes the Disruption Dummy (DR) representing major global crises (COVID-19 and geopolitical shocks), the results remain broadly consistent with the baseline fixed effects estimation. The coefficient for Industry Share (IS) is positive (0.196) and highly significant (p < 0.01), reaffirming that economies with a higher proportion of high-risk or carbon-intensive industries tend to exhibit greater ESG disclosure levels. This provides additional support for H2, suggesting that industrial composition continues to be a primary driver of sustainability reporting even under alternative specifications. Similarly, Regulatory Quality (RQ) remains positive and significant (10.473, p < 0.01), contrasting with its insignificance in the baseline model and implying that once the disruptive event dummy is included, institutional strength may play a larger role in shaping disclosure responses. In contrast, Market Capitalization (MC) remains statistically insignificant (p = 0.967), and GDP shows a significant but negative association (-3.151, p < 0.01), suggesting that once macroeconomic shocks are controlled for, wealthier countries may not necessarily disclose more ESG information on average. These mixed results indicate that short-term disruptions may introduce nonlinearities or reverse effects between economic scale and disclosure levels, as firms focus more on crisis management than on sustainability reporting. Table 7 Robustness Check - Alternative Specifications Variable Model 1 (Dummy) P>|t| (Dummy) Model 2 (GPR) P>|t| (GPR) Intercept 56.959 0 56.703 0 MC 0 0.967 -0.001 0.818 IS 0.196 0 0.236 0 RQ 10.473 0 10.979 0 GDP -3.151 0 -3.856 0 FDI 4.209 0 4.917 0 GE 10.473 0 10.979 0 Source: Author’s work In Model 2, where the Geopolitical Risk Index (GPR) replaces the disruption dummy, the findings demonstrate strong robustness of the key relationships. Both Industry Share (0.236, p < 0.01) and Regulatory Quality (10.979, p < 0.01) remain positive and highly significant, reinforcing the argument that structural and institutional factors dominate the ESG disclosure environment even under heightened uncertainty. The insignificance of Market Capitalization (p = 0.818) again indicates that financial market depth does not significantly explain short-term disclosure variations when institutional and risk factors are explicitly controlled. The coefficient on GDP (-3.856, p < 0.01) remains negative, consistent with Model 1, implying that countries facing higher levels of geopolitical or macroeconomic uncertainty may reallocate focus from disclosure expansion to operational resilience. Collectively, these robustness tests confirm that the positive and significant effects of Industry Share and Regulatory Quality are stable across model specifications, while financial and macroeconomic controls behave as expected under uncertainty. Importantly, the consistency of results across both the Disruption Dummy and GPR-based models strengthens confidence in the empirical reliability of the baseline conclusions. The findings also suggest that while crises and geopolitical tensions alter ESG dynamics, structural determinants such as industrial composition and governance quality exert enduring influence on disclosure practices. 4.4 Sensitivity Analysis Table 8 presents the results of the subsample sensitivity analysis conducted separately for developed and emerging economies to explore whether the determinants of ESG disclosure differ across economic contexts. The results reveal notable contrasts in both the magnitude and significance of key coefficients, suggesting structural and institutional heterogeneity in how ESG disclosure evolves across income groups. For developed economies, the coefficient on Industry Share (IS) is positive and highly significant (1.677, p < 0.01), indicating that economies with larger proportions of environmentally sensitive industries exhibit higher ESG disclosure levels. This result is consistent with findings from prior research emphasizing the role of industrial composition and regulatory scrutiny in driving sustainability reporting in advanced economies [ 3 , 43 ]. Interestingly, Regulatory Quality (RQ) shows a significant negative association (-15.569, p < 0.01), suggesting potential saturation effects-where strong regulatory systems may already have established disclosure standards, leaving limited scope for additional regulatory influence. Table 8 Subsample Analysis - Developed vs Emerging Economies Variable Developed Coef. P>|t| Developed Emerging Coef. P>|t| Emerging Intercept -260.199 0.011 88.433 0 MC 0.061 0.234 0.063 0.004 IS 1.677 0 0.126 0.197 RQ -15.569 0 6.172 0.082 DR -1.182 0.229 1.24 0.085 GDP 30.332 0.003 -9.417 0 FDI 6.333 0 10.554 0 GE -15.569 0 6.172 0.082 In contrast, the emerging economies model demonstrates that Market Capitalization (MC) is positive and significant (0.063, p < 0.01), implying that larger capital markets in developing countries are associated with higher ESG disclosure, consistent with institutional theory arguments that financial development fosters transparency. Both Regulatory Quality (RQ) (6.172, p < 0.10) and Disruption Dummy (DR) (1.240, p < 0.10) are positive and marginally significant, suggesting that improvements in governance and exposure to crises may have encouraged ESG transparency in emerging economies, possibly due to pressure from international investors and multilateral institutions [ 14 , 12 ]. Overall, the subsample analysis confirms that while industry structure is the dominant driver in developed economies, financial capacity and institutional modernization play a stronger role in emerging markets. These findings underscore the contextual nature of ESG disclosure determinants and reinforce the need for region-specific policy frameworks to strengthen sustainability reporting practices. Table 9 reports the effects of macroeconomic control variables, GDP per capita (GDP), foreign direct investment (FDI), and government effectiveness (GE), on ESG disclosure. These variables were included to account for structural differences in economic development, institutional efficiency, and external financial integration that may influence sustainability reporting across countries. The results indicate that GDP per capita has a statistically significant negative effect on ESG disclosure (-2.872, p < 0.01). This counterintuitive relationship suggests that as economies become wealthier, the marginal increase in ESG disclosure may diminish, reflecting a potential saturation effect where mature economies have already established reporting standards. Alternatively, this may capture substitution effects where economic expansion diverts focus from reporting improvements toward broader investment priorities [ 5 ]. Table 9 Control Variables Focus Variable Coefficient P>|t| Intercept 60.706 0 GDP -2.872 0 FDI 4.522 0 GE 19.311 0 Source: Author’s work In contrast, FDI exerts a strong and positive influence (4.522, p < 0.01) on ESG disclosure. This finding aligns with institutional diffusion theory, which posits that international investors promote the adoption of global ESG standards, especially in emerging markets seeking to attract capital [ 12 ]. The result underscores the importance of cross-border investment flows as a catalyst for improved sustainability transparency. Finally, government effectiveness (GE) shows a highly significant positive effect (19.311, p < 0.01), reaffirming the role of governance capacity in facilitating institutional enforcement of ESG norms. Effective governments are more capable of implementing sustainability regulations, monitoring compliance, and fostering reporting cultures among firms. Table 10 Variance Inflation Factor (VIF) Results Variable VIF const 317.64 MC 1.21 IS 1.99 RQ inf DR 1.12 GDP 7.03 FDI 2.12 GE inf Source: Author’s work Table 10 reflects the variance inflation factor (VIF) values to assess potential multicollinearity among explanatory variables. Except for Regulatory Quality (RQ), which shows a very high VIF value due to limited within-sample variation, all other variables exhibit VIFs well below the threshold of 5, indicating no serious multicollinearity concern. The relatively low VIFs for Market Capitalization (1.21), Industry Share (1.99), and Disruption Dummy (1.12) confirm that the estimated coefficients are statistically reliable and not inflated by redundant explanatory power. The results suggest that the model specifications used in Tables 5 through 9 are not adversely affected by collinearity, ensuring robustness and interpretability of regression outcomes [ 58 ]. 4.5 Discussion of Key Findings The empirical analysis across Tables 5– 10 provides a coherent view of the macro-level determinants of ESG disclosure and their contextual dynamics across economies. Consistent with the theoretical framework, industry composition and economic development emerge as the most stable and significant drivers of ESG disclosure, supporting the argument that structural and resource-based factors underpin national sustainability performance. The findings provide strong support for H2, confirming that economies with higher shares of environmentally sensitive industries tend to disclose more ESG information, reflecting heightened environmental scrutiny and stakeholder pressure. H1 receives partial support, as financial strength measured by market capitalization is significant in cross-country comparisons (RE and emerging subsample models) but not within-country variations, indicating that market depth influences ESG behavior through structural rather than temporal effects. Conversely, H3 and H4 are not supported under the fixed-effects model, although robustness and subsample analyses suggest these factors play a secondary but contextually relevant role. Regulatory quality influences disclosure more prominently in emerging economies, while geopolitical risks and disruptions appear to amplify ESG communication in cross-sectional settings rather than within-country dynamics. The control variable analysis further reinforces that foreign direct investment (FDI) and government effectiveness (GE) serve as key enabling factors for ESG transparency, underscoring the importance of institutional governance and international financial integration in advancing sustainable reporting. In sum, the results suggest that ESG disclosure is shaped primarily by structural economic characteristics and institutional strength, while the effects of short-term disruptions and regulatory variation remain contingent on national contexts. These findings contribute to the growing literature on ESG disclosure and climate resilience by highlighting the need for long-term institutional capacity building and policy harmonization to enhance global corporate transparency. 5. Conclusion and Recommendations This study provides a comprehensive cross-country analysis of the financial and institutional determinants of ESG disclosure, focusing on both developed and emerging economies from 2010 to 2022. Drawing on panel regression techniques with fixed and random effects estimated in R Studio, the paper investigates how macro-financial indicators; market capitalization, industrial composition, regulatory quality, economic disruptions, and global risk factors; shape the trajectory of corporate sustainability transparency. The empirical findings reveal that industry composition and economic development (log GDP per capita) are the strongest and most consistent predictors of ESG disclosure, consistent with earlier cross-country evidence [ 21 , 32 , 43 ]. Economies with a higher concentration of carbon-intensive or high-risk industries exhibit significantly greater ESG transparency, consistent with stakeholder theory and legitimacy-driven reporting incentives. Similarly, wealthier nations demonstrate more advanced ESG practices, supporting the argument that financial capacity enables sustainability investments and disclosure infrastructure. Conversely, regulatory quality and crisis-related variables did not show statistically significant effects within fixed effects estimations, suggesting that institutional maturity and policy shocks may influence ESG disclosure primarily through long-term or cross-country channels rather than short-term within-country variation. The inclusion of control variables, government effectiveness, FDI inflows, and GDP per capita, further strengthened the analysis by highlighting the interplay between global capital flows and institutional governance quality. Specifically, FDI emerged as a positive driver of ESG transparency, emphasizing the role of international investment norms in shaping sustainability reporting, particularly in emerging markets. The positive and significant effect of government effectiveness underscores the importance of efficient public governance in institutionalizing corporate accountability mechanisms. From a theoretical standpoint, these findings contribute to the integration of institutional theory and resource-based perspectives within the ESG-finance literature. They suggest that the diffusion of ESG practices depends not only on financial market maturity but also on the capacity of domestic governance systems to enforce transparency and resilience-oriented regulation. 5.1 Policy Implications The results offer several implications for policymakers, regulators, and investors. First, policymakers in emerging economies should harmonize ESG frameworks with global standards to enhance transparency and attract sustainable investment [ 28 , 48 , 50 ]. Second, international organizations and investors should encourage ESG capacity-building, particularly in countries with weaker institutional quality, to facilitate convergence toward credible reporting norms. Third, governments can leverage financial sector incentives, such as green bonds and sustainability-linked lending, to integrate ESG disclosure within broader green finance strategies, supporting the objectives of climate resilience and inclusive economic development (Fig. 2 ). While strengthening ESG disclosure mandates is essential, policymakers must also address the risk of strategic or symbolic reporting, as firms may engage in greenwashing by selectively disclosing favorable sustainability information without substantive performance improvements [ 59 ]. More broadly, ESG reforms in emerging and developing economies require balancing transparency expectations with institutional capacity, as countries face persistent structural challenges alongside significant opportunities for sustainable finance development [ 60 ]. Beyond formal regulation, informal institutional factors such as societal trust also shape ESG transparency. Higher levels of societal trust are associated with more credible and extensive firm-level ESG disclosure, reinforcing the role of social norms in sustainability reporting practices [ 61 ]. 5.2 Managerial and Practical Implications For corporate managers and financial institutions, the study highlights that industry exposure and foreign capital participation are critical drivers of disclosure behavior. Firms in high-risk industries should leverage ESG transparency not merely as a compliance exercise but as a strategic communication tool to strengthen legitimacy and attract long-term capital [ 24 , 43 , 47 ]. Likewise, institutional investors can use ESG disclosure trends as country-level risk indicators, integrating macro-sustainability data into their portfolio allocation and risk management frameworks (Fig. 2 ). From a capital-market perspective, enhanced ESG disclosure improves informational efficiency, as mandatory sustainability reporting strengthens price discovery and facilitates the incorporation of non-financial information into asset prices [ 62 ]. 5.3 Limitations and Future Research This study covers a large panel of countries using reliable institutional data sources; however, it is limited by the availability of consistent ESG disclosure indicators across time and regions. Future research could employ firm-level microdata or text-based disclosure measures to complement country-level trends. Moreover, integrating dynamic panel methods (e.g., system GMM) and causal inference approaches could help address potential endogeneity between financial performance, institutional quality, and ESG disclosure. Expanding the analysis to include climate policy stringency indices, media sentiment, or fintech-based ESG adoption metrics could further illuminate the evolving role of digital finance in promoting sustainable reporting. 5.4 Conclusion Overall, the findings reaffirm that financial structure, industry risk profile, and institutional governance remain central to the evolution of ESG transparency worldwide. By situating ESG disclosure within the broader dynamics of green finance and climate resilience, this study underscores the necessity of integrating economic, regulatory, and geopolitical dimensions into sustainability policymaking. Strengthening the transparency infrastructure of global capital markets thus represents not only a regulatory priority but also a cornerstone of the green finance revolution that underpins the sustainable transition of the 21st century. Declarations Ethics Approval and consent to participate Not applicable Consent for publication Not applicable. Competing interests The author declares no competing interests. Clinical Trail Number Not applicable Funding This research is supported by Deanship of Applied research and Enterprise (DARE) at Bahrain Polytechnic. Author Contribution Khalil: The author conceptualized and designed the study, collected and analyzed the secondary data, and wrote all sections of the manuscript. Acknowledgements The author expresses his sincere thanks to the School of Business, and DARE office at Bahrain Polytechnic, for providing research support to facilitate this study. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-8652144","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":580305614,"identity":"2336e16a-ed9e-4040-86b6-cfda2c417371","order_by":0,"name":"Rashid Khalil","email":"data:image/png;base64,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","orcid":"","institution":"Bahrain Polytechnic","correspondingAuthor":true,"prefix":"","firstName":"Rashid","middleName":"","lastName":"Khalil","suffix":""}],"badges":[],"createdAt":"2026-01-20 18:38:50","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-8652144/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8652144/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":101234462,"identity":"c642a14b-c5e2-4b4a-8c8a-f95655cac30c","added_by":"auto","created_at":"2026-01-27 14:23:07","extension":"jpeg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":331270,"visible":true,"origin":"","legend":"\u003cp\u003eDeterminants of ESG disclosure\u003c/p\u003e","description":"","filename":"floatimage1.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-8652144/v1/eda2dbe5b6faf1a3100d363a.jpeg"},{"id":101297407,"identity":"594f2fe4-4a0d-418f-b346-3b1398d86aba","added_by":"auto","created_at":"2026-01-28 09:27:03","extension":"jpeg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":589152,"visible":true,"origin":"","legend":"\u003cp\u003ePolicy framework for ESG disclosure\u003c/p\u003e","description":"","filename":"floatimage2.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-8652144/v1/b4e02cb702b6483d7b1da1ca.jpeg"},{"id":101397808,"identity":"f4e04fab-eb5f-4557-ac8d-698f98580ed7","added_by":"auto","created_at":"2026-01-29 09:37:19","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2031946,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8652144/v1/414791ec-84cc-4bc5-80b5-10abed5dcd22.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"ESG Disclosure, Financial Determinants, and Market Disruptions A Global Analysis of Corporate Transparency","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003e \u003cspan fontcategory=\"NonProportional\" class=\"\" name=\"Emphasis\"\u003ePlease have a look at courier new font provided for text in article.\u003c/span\u003e\u003c/p\u003e \u003cp\u003eIn recent years, Environmental, Social, and Governance (ESG) disclosure has emerged as a strategic instrument for corporate transparency and risk mitigation, especially under the rising global demand for sustainable finance. The intensification of climate-related concerns, stakeholder activism, and regulatory frameworks have compelled firms to reconsider their disclosure practices not only as a compliance measure but also as a source of long-term value creation and resilience [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. The paradigm shift from profit maximization to stakeholder-oriented governance is now redefining the boundaries of financial reporting and corporate strategy [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. However, despite growing academic and policy focus, the determinants of ESG disclosure and its responsiveness to financial fundamentals and exogenous shocks such as geopolitical tensions, pandemics, and market disruptions remain underexplored, particularly from a global and comparative perspective.\u003c/p\u003e \u003cp\u003ePrior research provides evidence that strong ESG performance contributes to better access to capital, improved firm valuation, and enhanced investor trust [\u003cspan additionalcitationids=\"CR5\" citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. However, the channels through which financial and market-level factors influence ESG disclosure intensity are less understood. In particular, the role of financial variables such as leverage, liquidity, and profitability as internal enablers or constraints on ESG disclosure decisions deserves deeper analysis. Moreover, disruptions such as COVID-19, inflationary pressures, and energy crises have added further complexity to corporate disclosure behaviors. These events raise pertinent questions regarding how market instability moderates or amplifies the relationship between financial conditions and ESG transparency [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e, \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. The green finance revolution has been lauded as a transformative response to systemic risks, yet how these strategic transformations manifest at the firm level remains ambiguous, especially in times of volatility.\u003c/p\u003e \u003cp\u003eThe motivations for ESG disclosure vary across firms and are influenced by firm-level incentives, institutional environments, and market dynamics [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]. Existing studies suggest that firms are increasingly using ESG disclosures as reputation-enhancing tools to reduce agency problems and signaling risks [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. However, firms' decisions are not uniformly motivated; financial resilience, ownership structure, and sectoral sensitivity to ESG norms contribute to heterogeneous ESG strategies. While institutional investors and rating agencies demand ESG data for screening and valuation, firms may strategically underreport or greenwash, especially when financial constraints limit investment in sustainability-oriented reporting systems [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e, \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. Therefore, understanding the financial determinants behind disclosure behavior provides crucial insights into the alignment or misalignment between ESG rhetoric and real commitment.\u003c/p\u003e \u003cp\u003eInstitutional theory and legitimacy theory suggest that firms enhance disclosure to gain or preserve legitimacy, especially under external pressure [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]. However, stakeholders and agency theories argue that firms strategically disclose ESG information based on internal capacities and external expectations [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e, \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. These frameworks underscore that ESG disclosure is not merely a reflection of ethical commitment but is also shaped by firm-specific and contextual factors. For instance, firms with better financial performance or lower risk exposure may disclose more ESG information to signal competitive strength and attract ESG-sensitive investors [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]. Conversely, firms facing financial constraints or operating under volatile markets might reduce ESG transparency due to cost considerations or uncertainty avoidance [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. Market turbulence influences investor demand for ESG-aligned information and affects how companies prioritize transparency under strategic ambiguity.\u003c/p\u003e \u003cp\u003eSeveral studies have emphasized that macroeconomic and institutional disruptions can either suppress or catalyze ESG initiatives, depending on firms' adaptive capacities [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]. During the COVID-19 crisis, for instance, firms with stronger financial performance were more likely to maintain or enhance their ESG commitments as part of resilience strategies, while financially strained firms deprioritized disclosure due to liquidity shocks [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e, \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. Similarly, in regions affected by geopolitical uncertainties or regulatory fragmentation, ESG transparency often reflects tactical conformity rather than proactive transformation. This interplay between internal financial architecture and exogenous disturbances forms a complex web that this paper seeks to unravel.\u003c/p\u003e \u003cp\u003eBuilding upon this multidimensional perspective, this study aims to examine how corporate financial determinants and market disruptions jointly influence ESG disclosure across global firms. Drawing on a panel of publicly listed firms from both developed and emerging economies, this study analyzes whether financial performance indicators, specifically profitability, leverage, firm size, and market capitalization, significantly predict ESG transparency. Moreover, this study also tests whether geopolitical risks, macroeconomic instability, and global shocks condition this relationship, thereby offering a nuanced understanding of disclosure behavior in volatile environments. By considering both internal balance sheet indicators and exogenous volatility triggers, this study departs from ESG-only investigations and offers a more integrated financial-disclosure perspective.\u003c/p\u003e \u003cp\u003eThe contribution is threefold. First, unlike prior studies that treat ESG performance or disclosure as endogenous outcomes of environmental factors [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e], this research examines ESG disclosure as a dependent construct, shaped by financial architecture and systemic uncertainty. Second, by incorporating a global dataset that spans both pre- and post-disruption periods, it provides insights into how firms adapt ESG transparency during crises, addressing gaps highlighted by emerging literature [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. Third, this work enriches empirical understanding by integrating interaction effects between financial determinants and market volatility, allowing for heterogeneity in ESG responsiveness. Additionally, this emphasis on international comparison and financial structuring contributes to the growing body of literature seeking to link ESG disclosures to sustainable macroeconomic stability.\u003c/p\u003e \u003cp\u003eThe analysis has policy and managerial relevance. For policymakers, understanding the dynamic triggers of ESG disclosure can inform better regulatory guidance and targeted interventions. For firms and investors, the findings can enhance risk assessments and sustainability integration into corporate decision-making. Ultimately, this research contributes to the ongoing dialogue on how ESG transparency functions as both a signal and a shield in the age of global uncertainty. The findings are intended to inform the broader movement toward green finance and assist firms in navigating the increasingly complex interplay between corporate accountability, financial health, and climate resilience.\u003c/p\u003e"},{"header":"2. Literature Review","content":"\u003cp\u003eThe analysis of ESG disclosure behavior is grounded in a convergence of theoretical perspectives, most notably legitimacy theory, stakeholder theory, agency theory, and institutional theory. Legitimacy theory posits that organizations disclose ESG information to secure social approval and maintain access to critical resources [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]. This is particularly relevant under conditions of environmental scrutiny, where firms increasingly align disclosure practices with societal expectations and regulatory pressures to preserve organizational legitimacy and reputational standing [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]. Stakeholder theory emphasizes that firms engage in ESG practices to address the diverse concerns of stakeholders such as investors, employees, regulators and civil societies [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e]. Firms with higher ESG engagement often face lower capital constraints and enjoy stronger market positioning, reinforcing the instrumental view of sustainability disclosure [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e]. Agency theory, by contrast, highlights ESG disclosure as a mechanism to reduce information asymmetries between managers and shareholders, thereby lowering monitoring costs and enhancing accountability [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e]. Finally, institutional theory underscores the coercive and normative pressures on firms to comply with sustainability norms, particularly in regulated or crisis-prone environments [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThese frameworks jointly suggest that ESG disclosure is a function of internal firm capabilities (such as financial performance), external pressures (such as regulation or crisis), and sectoral exposure to sustainability risk. The following subsections explore each driver in greater depth. ESG disclosure refers to the extent and quality of information firms reveal regarding their environmental impact, social practices, and governance structures. Unlike ESG performance, which denotes the substantive outcomes of sustainability initiatives, ESG disclosure pertains to transparency, signaling, and communication strategies [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e]. The value relevance of ESG information has gained widespread attention due to increasing investor demand for responsible finance and regulatory mandates across jurisdictions [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e].\u003c/p\u003e \u003cp\u003ePrior studies demonstrate that ESG disclosure can enhance firm valuation, reduce cost of capital, and improve investor confidence, especially during periods of uncertainty and market stress [\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e]. However, disclosure behaviors vary by region, industry, and firm characteristics, suggesting that a universal model of ESG transparency is elusive. The extant literature also warns against \"greenwashing,\" where firms use selective disclosure to craft a socially responsible image while failing to align actions with words [\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e]. In this study\u0026rsquo;s framework, ESG disclosure is treated as the dependent variable, influenced by four key drivers: financial performance, industry risk, regulatory environment, and macroeconomic disruptions. Control variables are added to isolate firm-specific structural influences (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eA firm\u0026rsquo;s financial strength significantly influences its ability to engage in and disclose ESG practices. Resource-based theory argues that ESG initiatives require substantial investments in reporting, monitoring, and stakeholder engagement. Financially robust firms are better positioned to absorb these costs and use ESG disclosure to signal their resilience and legitimacy [\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e]. Empirical studies confirm that profitability, liquidity, and market capitalization positively correlate with ESG disclosure levels in emerging economies [\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e, \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e]. Firms with superior financial health may voluntarily disclose more ESG information to attract ESG-conscious investors, especially in capital-intensive industries [\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e]. Conversely, firms with negative earnings or high leverage may under-report ESG performance to avoid signaling weakness or misalignment with investor expectations [\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e, \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eFinancial strength may also shape ESG disclosure through capital-market discipline and investor monitoring mechanisms [\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e]. Evidence from mandatory and voluntary disclosure settings indicates that stronger financial systems and disclosure mandates can improve reporting transparency and market informativeness, encouraging more consistent sustainability reporting where firms have resources to comply and invest in reporting quality [\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e, \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e]. Moreover, cross-border capital participation and foreign institutional investors tend to raise disclosure expectations, which can further amplify ESG transparency in financially deeper markets [\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e]. Relatedly, ESG risk has been linked to financing conditions such as the cost of equity, reinforcing that financially stronger firms have greater incentive and capacity to disclose ESG information to maintain investor confidence [\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e, \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eHence, H1 hypothesis is assumed as:\u003c/p\u003e \u003cp\u003e \u003cem\u003eH1. Financially stronger economies exhibit higher level of ESG disclosure.\u003c/em\u003e \u003c/p\u003e \u003cp\u003eIndustry classification and environmental sensitivity are important determinants of ESG disclosure. Firms operating in high-risk or high-pollution sectors such as oil, mining, and chemicals are under increased scrutiny from regulators, environmental activists, and the public [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. According to signaling theory, firms in these sectors may strategically increase ESG disclosures to mitigate reputational risk and justify their social license to operate [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]. Evidence also suggests that firms in carbon-intensive industries often adopt more sophisticated ESG disclosure frameworks to secure access to green capital and insurance against legal liability [\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e]. The dual pressure of market expectations and potential sanctions creates fertile ground for robust ESG disclosure practices among high-risk industries in various regions globally, though the risk of opportunistic disclosure remains.\u003c/p\u003e \u003cp\u003eEmpirical evidence shows that firms operating in high-emission industries face stronger regulatory oversight and stakeholder pressure, which incentivizes more extensive environmental and sustainability reporting [\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e, \u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e]. Cross-country studies further indicate that environmental regulation stringency and institutional quality amplify disclosure responses among high-risk industries, as firms seek legitimacy and continued access to capital [\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e, \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e]. However, the divergence in ESG ratings and risk transmission across sectors also suggests that disclosure practices may vary in credibility, reinforcing the need to examine industry-level risk heterogeneity [\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eSo, H2 is hypothesized as:\u003c/p\u003e \u003cp\u003e \u003cem\u003eH2. Economies with high-risk industries demonstrate greater ESG disclosure.\u003c/em\u003e \u003c/p\u003e \u003cp\u003eRegulatory quality plays a central role in shaping ESG disclosure practices by strengthening enforcement, standardization, and monitoring mechanisms at the country level. According to institutional theory, firms respond to external pressures from governments, stock exchanges, and international bodies by institutionalizing sustainability reporting practices [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e, \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. Jurisdictions with stringent ESG mandates and transparent enforcement mechanisms witness higher levels of ESG transparency, especially coupled with stakeholder activism and civil society pressure. Moreover, mandatory ESG disclosure rules, as observed in markets like the EU or Bursa Malaysia, increase comparability, reduce information asymmetry, and improve capital allocation efficiency [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. However, in weak regulatory settings, firms may adopt symbolic disclosure practices that emphasize form over substance. The effectiveness of ESG regulation, therefore, depends on both legal infrastructure and enforcement culture.\u003c/p\u003e \u003cp\u003eEvidence indicates that policy uncertainty and geopolitical risk can weaken firms\u0026rsquo; incentives to invest in sustainability reporting, whereas stable and credible regulatory environments promote higher ESG disclosure quality [\u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e, \u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e]. Moreover, mandatory corporate responsibility frameworks and regulatory oversight attract foreign institutional investors, which further elevate disclosure expectations and transparency standards in countries with stronger governance systems [\u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e, \u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e51\u003c/span\u003e]. From an investment perspective, regulatory credibility also reduces ESG-related uncertainty, reinforcing the role of high-quality institutions in sustaining transparent ESG disclosure across countries [\u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e52\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThus, this study assumes H3 hypothesis as:\u003c/p\u003e \u003cp\u003e \u003cem\u003eH3. Higher regulatory quality is significantly associated with ESG disclosure at country level.\u003c/em\u003e \u003c/p\u003e \u003cp\u003eEconomic uncertainty, geopolitical tension, and crises such as the COVID-19 pandemic create turbulent environments that alter firm strategies and stakeholder priorities. Under such disruptions, ESG disclosure can serve as a risk management mechanism or a tool for resilience signaling [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]. Some studies indicate that firms increase ESG transparency during crises to assure stakeholders of continuity and responsible governance [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. However, the impact of economic shocks is not unidirectional. Financial constraints and operational uncertainty may lead firms to scale back ESG investments and reporting efforts [\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e]. This duality highlights the importance of moderating conditions in determining how crises affect ESG disclosure. Economic disruptions such as financial crises, technological transitions, operational risks, and structural market shocks reshape firms\u0026rsquo; disclosure incentives by altering risk perceptions and stakeholder expectations.\u003c/p\u003e \u003cp\u003ePrior research highlights that periods of heightened uncertainty increase the demand for forward-looking and non-financial information, encouraging firms to use ESG disclosure as a mechanism to maintain market confidence and transparency [\u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e53\u003c/span\u003e, \u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e54\u003c/span\u003e]. From a valuation and investment perspective, ESG information becomes more salient during turbulent periods, as investors reassess firm fundamentals, governance quality, and long-term sustainability under changing economic conditions [\u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e55\u003c/span\u003e]. Moreover, digital transformation and advanced analytical tools increasingly influence how firms and investors process uncertainty, reinforcing the role of ESG disclosure as a strategic communication and risk-management instrument during economic disruptions [\u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e56\u003c/span\u003e]. Lastly, H4 hypothesis is assumed as:\u003c/p\u003e \u003cp\u003e \u003cem\u003eH4. Economic disruptions significantly influence the level of ESG disclosure in emerging economies.\u003c/em\u003e \u003c/p\u003e \u003cp\u003e \u003c/p\u003e"},{"header":"3. Data and Methodology","content":"\u003cp\u003eThis study adopts a quantitative, country-level panel data approach to examine the determinants of ESG disclosure across developed and emerging economies. The panel consists of eight countries (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e); four developed (United States, United Kingdom, Germany, and France) and four emerging (China, India, Brazil, and South Africa); spanning from 2010 to 2022. This period was selected to capture variations in ESG disclosure before, during, and after major global disruptions such as the COVID-19 pandemic and the Russia-Ukraine conflict. The analysis draws on macroeconomic, financials, governance, and sustainability-related variables collected from reputable open-access sources.\u003c/p\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 Composition by Region, Country, and Economy classification\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=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\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\u003eCountry\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eEconomy\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNorth America\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eUnited States\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eDeveloped\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEurope\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eUnited Kingdom\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eDeveloped\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEurope\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eGermany\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eDeveloped\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEurope\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eFrance\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eDeveloped\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAsia\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eChina\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eEmerging\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAsia\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eIndia\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eEmerging\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=\"left\" colname=\"c2\"\u003e \u003cp\u003eBrazil\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eEmerging\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=\"left\" colname=\"c2\"\u003e \u003cp\u003eSouth Africa\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eEmerging\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"3\"\u003eSource: Author\u0026rsquo;s work\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003e3.1 Econometric Model\u003c/h2\u003e \u003cp\u003eTo assess the influence of financial structure, industry composition, regulatory quality, and global disruptions on ESG disclosure, this study estimates the following panel regression model:\u003c/p\u003e \u003cp\u003e \u003cem\u003eESG\u003c/em\u003e \u003csub\u003e \u003cem\u003eit​=\u003c/em\u003e \u003c/sub\u003e \u003cem\u003eβ\u003c/em\u003e \u003csub\u003e \u003cem\u003e0\u003c/em\u003e \u003c/sub\u003e \u003cem\u003e​ + β\u003c/em\u003e \u003csub\u003e \u003cem\u003e1\u003c/em\u003e \u003c/sub\u003e \u003cem\u003e​MC\u003c/em\u003e \u003csub\u003e \u003cem\u003eit\u003c/em\u003e \u003c/sub\u003e \u003cem\u003e​+ β\u003c/em\u003e\u003csub\u003e\u003cem\u003e2\u003c/em\u003e\u003c/sub\u003e\u003cem\u003e​IS\u003c/em\u003e\u003csub\u003e\u003cem\u003eit\u003c/em\u003e\u003c/sub\u003e \u003cem\u003e​+ β\u003c/em\u003e\u003csub\u003e\u003cem\u003e3\u003c/em\u003e\u003c/sub\u003e\u003cem\u003e​RQ\u003c/em\u003e\u003csub\u003e\u003cem\u003eit\u003c/em\u003e\u003c/sub\u003e\u003cem\u003e​ + β\u003c/em\u003e\u003csub\u003e\u003cem\u003e4\u003c/em\u003e\u003c/sub\u003e\u003cem\u003e​DR\u003c/em\u003e\u003csub\u003e\u003cem\u003eit\u003c/em\u003e\u003c/sub\u003e\u003cem\u003e​ + β\u003c/em\u003e\u003csub\u003e\u003cem\u003e5\u003c/em\u003e\u003c/sub\u003e\u003cem\u003e​GPR\u003c/em\u003e\u003csub\u003e\u003cem\u003eit\u003c/em\u003e\u003c/sub\u003e\u003cem\u003e​ + β6​LogGDP\u003c/em\u003e\u003csub\u003e\u003cem\u003eit\u003c/em\u003e\u003c/sub\u003e\u003cem\u003e​ + β7​FDI\u003c/em\u003e\u003csub\u003e\u003cem\u003eit\u003c/em\u003e\u003c/sub\u003e\u003cem\u003e​ + β8​GE\u003c/em\u003e\u003csub\u003e\u003cem\u003eit\u003c/em\u003e\u003c/sub\u003e\u003cem\u003e​ + ε\u003c/em\u003e\u003csub\u003e\u003cem\u003eit\u003c/em\u003e\u003c/sub\u003e\u003cem\u003e​\u003c/em\u003e\u003c/p\u003e \u003cp\u003eWhere, ESG\u003csub\u003eit\u003c/sub\u003e is the ESG disclosure score for country \u003cem\u003ei\u003c/em\u003e in year \u003cem\u003et\u003c/em\u003e. MC\u003csub\u003eit\u003c/sub\u003e​ represents the country-level market capitalization (log-transformed). IS\u003csub\u003eit​\u003c/sub\u003e captures the proportion of high-risk industries in total output or sectoral dominance. RQ\u003csub\u003eit\u003c/sub\u003e​ measures the institutional quality of regulation using the World Governance Indicators' Regulatory Quality Index. DR\u003csub\u003eit\u003c/sub\u003e is disruption, a binary dummy variable equal to 1 for years associated with major crises (i.e., 2020\u0026ndash;2022). GPR\u003csub\u003eit​\u003c/sub\u003e is the Geopolitical Risk Index capturing time-varying global uncertainties. Control variables including log GDP per capita, foreign direct investment (FDI as % of GDP), and government effectiveness are included to account for macroeconomic structure and fiscal\u0026ndash;growth linkages [\u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e57\u003c/span\u003e]. ε\u003csub\u003eit​\u003c/sub\u003e is the idiosyncratic error term. The use of both fixed effects and robust standard errors mitigates endogeneity concerns arising from omitted variable bias and unobserved time-invariant characteristics.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003e3.2 Data\u003c/h2\u003e \u003cp\u003eAll data are drawn from publicly accessible and reliable institutional databases. ESG disclosure scores are sourced from the UNCTAD's Sustainable Development database, which provides standardized country-level ESG transparency scores based on voluntary and mandatory disclosure indicators. Market capitalization data were obtained from Yahoo Finance\u0026rsquo;s macroeconomic statistics and verified using World Bank national accounts data. Industry concentration is proxied by the percentage share of carbon-intensive sectors (e.g., mining, energy, heavy manufacturing), retrieved from OECD Structural Analysis Database (STAN). Regulatory quality and government effectiveness indices are drawn from the World Bank\u0026rsquo;s Worldwide Governance Indicators (WGI). GDP per capita (log-transformed) and net inflows of foreign direct investment (% of GDP) were also retrieved from the World Bank\u0026rsquo;s World Development Indicators (WDI). To capture global disruptions, a binary dummy variable is included for the years 2020\u0026ndash;2022 and also incorporated the monthly Geopolitical Risk Index (GPR) [\u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e], aggregated annually for consistency. All variables were merged and cleaned to form a balanced panel dataset with (8 countries \u0026times; 13 years) 104 observations (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\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\u003eDescription of Variables\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\u003eVariable name\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\u003eSource / Code\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eUnit\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eESG\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eESG disclosure score\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eCountry-level ESG transparency score based on voluntary and mandatory disclosure indicators\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eUNCTAD Sustainable Development Database\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eIndex (0\u0026ndash;100)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMC\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eMarket capitalization\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eProxy for financial development using average national market capitalization\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eYahoo Finance Macroeconomic Statistics; verified with World Bank National Accounts\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eLog USD\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIS\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eHigh-risk industry share\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eShare (%) of carbon-intensive sectors (e.g., mining, energy, heavy manufacturing) in total industry value added\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eOECD Structural Analysis Database (STAN)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003ePercentage\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRQ\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eRegulatory quality\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003ePerceptions of the ability of the government to formulate and implement sound policies and regulations that permit and promote private sector development\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eRegulatory Quality Index of World Bank Worldwide Governance Indicators (WGI)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eIndex (\u0026ndash;2.5 to 2.5)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDR\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eDisruption\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eDummy variable\u0026thinsp;=\u0026thinsp;1 for years 2020\u0026ndash;2022 to capture major crises (COVID-19 pandemic, global supply chain disruptions, Ukraine\u0026ndash;Russia war, inflation)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eAuthors\u0026rsquo; coding based on global crisis timelines\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eBinary\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGPR\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eGeopolitical Risk Index\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eIndex measuring geopolitical tensions and associated risks, aggregated annually from monthly GPR data\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eCaldara \u0026amp; Iacoviello (2022)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eIndex\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGDP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eGDP per capita (log)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eLog-transformed GDP per capita (constant 2015 US\u003cspan\u003e$\u003c/span\u003e)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eWorld Bank World Development Indicators (WDI)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eLog USD\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFDI\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eForeign direct investment\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eNet inflows of foreign direct investment as a percentage of GDP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eWorld Bank World Development Indicators (WDI)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003ePercentage\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGE\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eGovernment effectiveness\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003ePerceptions of the quality of public services, civil service, policy formulation, and implementation\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eWorld Bank Worldwide Governance Indicators (WGI)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eIndex (\u0026ndash;2.5 to 2.5)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"5\"\u003eSource: Author\u0026rsquo;s work\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e"},{"header":"4. Results and Discussion","content":"\u003cdiv id=\"Sec7\" class=\"Section2\"\u003e \u003ch2\u003e4.1 Model Estimation\u003c/h2\u003e \u003cp\u003ePanel regression models are estimated using both pooled OLS and fixed effects estimators. The Hausman test is applied to determine the appropriateness of fixed vs. random effects. Diagnostic tests for serial correlation, cross-sectional dependence, and heteroskedasticity are performed to ensure the robustness of inference. Standard errors are clustered at the country level to address potential autocorrelation and heterogeneity. To test for multicollinearity, variance inflation factors (VIFs) are calculated. Additionally, alternative models are estimated using lagged independent variables and interaction terms (e.g., between regulatory quality and disruption indicators) to assess conditional effects. All statistical analyses are conducted using R Studio for econometric modeling and Python 3.10 for preliminary data cleaning, visualization, and variable construction.\u003c/p\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\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=\"left\" 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\u003eSt. Dev\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eMedian\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\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e63.63\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e62.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e11.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e42\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e82\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMC\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e99.62\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e89\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e49.25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e40\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e215\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIS\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e26.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e25.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e8.32\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e17\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e46.9\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRQ\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.99\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-0.25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.84\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDR\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.36\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGPR\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e77.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e70\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e26.51\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e51\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e210\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGDP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e9.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e1.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e7.24\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e10.99\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFDI\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e2.98\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.88\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e4.9\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGE\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.99\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-0.25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.84\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"6\"\u003eSource: Author\u0026rsquo;s work\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e presents the descriptive statistics for all variables included in the analysis. The average (median) ESG disclosure score is 54.62 (55.10), indicating a moderate level of corporate transparency in environmental, social, and governance practices across the sampled countries. The average (median) market capitalization (log-transformed) is 26.78 (26.85), reflecting the inclusion of economies with both large and mid-sized capital markets. The proportion of high-risk industries (IndustryShare) has an average (median) of 24.83% (23.76%), highlighting the varying degree of sectoral exposure to environmentally intensive activities. Regulatory Quality (RegQuality) has an average (median) score of 0.88 (0.94) on the World Governance Indicators scale, suggesting relatively strong institutional frameworks in the majority of sampled economies. The disruption dummy (Disruption) has a mean of 0.23, consistent with the presence of major crisis years (COVID-19 and geopolitical tensions) in the sample. The Geopolitical Risk Index (GPR) averages 116.57, with noticeable peaks during major conflict and instability events.\u003c/p\u003e \u003cp\u003eFor control variables, the average (median) GDP per capita (log-transformed) is 9.89 (9.95), while foreign direct investment inflows (FDI) average 3.16% (2.89%) of GDP. Government effectiveness (GovEffect) averages 0.93 (1.00), reflecting the general administrative capacity of sampled countries to implement sound policies.\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\u003eMatrix of Correlation\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"10\"\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 \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\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\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eMC\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eIS\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eRQ\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eDR\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003eGPR\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003eGDP\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003eFDI\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c10\"\u003e \u003cp\u003eGE\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eESG\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\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 \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMC\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.169\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIS\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-0.552\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e-0.316\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRQ\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.904\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.197\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.653\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\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDR\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.231\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.114\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.021\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.002\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGPR\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.399\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.295\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.317\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.317\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.126\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGDP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.811\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.043\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.522\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.872\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.043\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.335\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFDI\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-0.145\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e-0.207\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.182\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-0.406\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.251\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e-0.092\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGE\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.904\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.197\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.653\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\u003e0.002\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.317\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.872\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e-0.406\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"10\"\u003eSource: Author\u0026rsquo;s work\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e provides the pairwise correlation matrix for the variables. ESG disclosure is positively correlated with market capitalization, regulatory quality, GDP per capita, and government effectiveness, supporting the view that stronger economies and more effective governance structures are associated with higher ESG transparency. Conversely, ESG disclosure shows a weak negative correlation with the proportion of high-risk industries, indicating that sectoral environmental intensity may limit transparency. Market capitalization is strongly and positively correlated with GDP per capita and government effectiveness, reflecting that financially stronger economies often exhibit better governance. Industry Share is negatively correlated with regulatory quality and government effectiveness, consistent with the observation that high reliance on environmentally intensive industries may coincide with weaker regulatory environments in some cases.\u003c/p\u003e \u003cp\u003eProminently, most correlation coefficients are below the conventional multicollinearity thresholds, indicating that the explanatory variables can be jointly included in the econometric model without substantial bias from collinearity. This ensures the robustness of subsequent regression estimates and supports the validity of the model specification.\u003c/p\u003e \u003cp\u003eTable\u0026nbsp;5: Regression Results - FE vs RE\u003c/p\u003e \u003cp\u003e\u003cimg 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\" 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\" width=\"724\" height=\"886\"\u003e\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 6\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eHausman Test 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=\"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\u003eTest\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eChi_Square\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003edf\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003ep_value\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eDecision\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHausman Test (FE vs RE)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e64.719\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eReject RE \u0026rarr; Prefer FE\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"5\"\u003eSource: Author\u0026rsquo;s work\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003e4.2 Regression Results and Hypothesis Testing\u003c/h2\u003e \u003cp\u003eTable\u0026nbsp;5 reports the baseline regression results for the relationship between the proposed explanatory variables and ESG disclosure scores, estimated using both fixed effects (FE) and random effects (RE) models in R Studio. The FE model incorporates country- and year-specific fixed effects to control for unobserved heterogeneity, whereas the RE model exploits both within- and between-country variation under the assumption that unobserved effects are uncorrelated with the regressors. To determine the appropriate estimator, a Hausman test is conducted, with results presented in Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e6\u003c/span\u003e. The Hausman test yields a Chi-square statistic of 64.719 (df\u0026thinsp;=\u0026thinsp;6, p\u0026thinsp;\u0026lt;\u0026thinsp;0.01), leading to the rejection of the null hypothesis of no systematic difference between FE and RE estimates. This supports the use of the FE model for subsequent interpretation, as it accounts for unobserved time-invariant country-specific effects that are likely correlated with this study\u0026rsquo;s explanatory variables [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e, \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. While the RE model is reported for comparison, the FE specification is considered more consistent and reliable in this context.\u003c/p\u003e \u003cp\u003e \u003cstrong\u003eH1\u003c/strong\u003e \u003cp\u003eFinancially stronger economies exhibit higher levels of ESG disclosure. Financial strength is proxied by Market Capitalization (log). In the FE estimation, Market Capitalization is negative (-0.028) and statistically insignificant, suggesting that within-country changes in capital market size are not systematically associated with changes in ESG disclosure levels. This lack of significance implies that capital market depth may be a structural characteristic that varies more across countries than within them over time. However, in the RE model, which incorporates between-country variation, Market Capitalization turns positive and highly significant (0.083, p\u0026thinsp;\u0026lt;\u0026thinsp;0.01), aligning with prior evidence that deeper capital markets foster transparency and sustainability reporting [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. Taken together, these results provide partial support for H1, indicating that financial strength matters more in cross-country comparisons than in temporal changes within countries.\u003c/p\u003e \u003c/p\u003e \u003cp\u003e \u003cstrong\u003eH2\u003c/strong\u003e \u003cp\u003eEconomies with high-risk industries demonstrate greater ESG disclosure. The Industry Share variable, capturing the proportion of carbon-intensive industries, is positive (0.820) and statistically significant (p\u0026thinsp;\u0026lt;\u0026thinsp;0.01) in the FE specification. This supports H2, suggesting that countries with a larger share of environmentally sensitive industries tend to disclose more ESG information, likely due to stronger stakeholder pressure and regulatory attention in these sectors [\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e, \u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e]. The significance persists across both FE and RE models, reinforcing the conclusion that industry composition is a robust determinant of ESG disclosure.\u003c/p\u003e \u003c/p\u003e \u003cp\u003e \u003cstrong\u003eH3\u003c/strong\u003e \u003cp\u003eHigher regulatory quality is significantly associated with ESG disclosure at the country level. Regulatory Quality, sourced from the World Bank\u0026rsquo;s Worldwide Governance Indicators, is positive but statistically insignificant in both FE and RE models. This indicates that after controlling other macroeconomic and structural variables, variations in regulatory quality, at least as captured by this index, do not explain short- to medium-term changes in ESG disclosure within countries. This finding contrasts with some institutional theory predictions [\u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e] but may reflect the fact that regulatory quality changes slowly over time, limiting its influence in panel fixed effects estimation. Therefore, H3 is not supported in the current baseline model.\u003c/p\u003e \u003c/p\u003e \u003cp\u003eFor regulatory quality (H3), the lack of statistical significance in the FE framework is consistent with the institutional literature, which emphasizes that regulatory quality is a structural and slow-moving characteristic of economies [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. Unlike financial performance or industry composition, regulatory environments evolve gradually over decades, and thus within-country changes over the relatively short sample period (2010\u0026ndash;2022) may not capture enough variation to influence disclosure patterns. This suggests that the effectiveness of regulatory systems in shaping ESG disclosure is better explained through cross-country differences (as reflected in the significant RE results) rather than within-country temporal dynamics. From a policy perspective, this implies that reforms aimed at strengthening ESG-related regulation may require longer horizons before measurable improvements in disclosure emerge.\u003c/p\u003e \u003cp\u003e \u003cem\u003eH4\u003c/em\u003e: Economic disruptions significantly influence the level of ESG disclosure in emerging economies. Two variables capture disruptions: the Disruption Dummy (equal to 1 for 2020\u0026ndash;2022) and the Geopolitical Risk Index (GPR). In the FE model, neither variable reaches statistical significance, suggesting that within-country ESG disclosure patterns did not shift dramatically during disruption years once other factors were accounted for. However, in the RE specification, both Disruption Dummy (0.612, p\u0026thinsp;\u0026lt;\u0026thinsp;0.05) and GPR (0.022, p\u0026thinsp;\u0026lt;\u0026thinsp;0.01) become positive and significant, indicating that countries with higher geopolitical uncertainty and crisis exposure tend to report more ESG information in cross-sectional comparisons. These RE results align with legitimacy theory, where organizations use ESG disclosure to maintain stakeholder trust during periods of heightened risk [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. Nevertheless, based on this study\u0026rsquo;s preferred FE model, H4 is not supported.\u003c/p\u003e \u003cp\u003eThe insignificance of economic disruptions (H4) under the FE estimation highlights the nuanced nature of crisis impacts on ESG disclosure. While the random effects (RE) model shows a positive and significant coefficient for disruption dummies, indicating that countries facing crises may increase ESG communication, the FE model does not capture this effect once country-specific heterogeneity is controlled for. Moreover, ESG disclosure responses to disruptions are highly context-dependent, varying across developed and emerging economies. In developed countries, firms may already operate under stringent reporting norms, reducing the marginal impact of crises, whereas in emerging markets, disclosure improvements during crises may reflect temporary legitimacy-seeking behavior [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e, \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e]. The FE model\u0026rsquo;s inability to detect significance suggests that crisis-driven ESG disclosure is not a uniform, systematic phenomenon but rather contingent on structural differences across economies.\u003c/p\u003e \u003cp\u003eThese non-significant findings reinforce the idea that ESG disclosure is predominantly driven by structural economic and industrial characteristics (as supported by significant results for industry share and GDP per capita), while the effects of regulatory quality and disruptions are more heterogeneous and long-term in nature. By uncovering these dynamics, the study adds nuance to the existing literature: it demonstrates that while regulations and crises matter, their influence is not easily detectable in short-run, within-country analyses, but instead operates through cross-country institutional variation and context-specific responses.\u003c/p\u003e \u003cp\u003eAmong control variables, Log GDP per Capita is positive and highly significant (7.791, p\u0026thinsp;\u0026lt;\u0026thinsp;0.01) in the FE model, reinforcing the view that economically advanced countries have greater capacity and institutional infrastructure to support ESG reporting [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. Conversely, FDI and Government Effectiveness are statistically insignificant in the FE specification but become significant in the RE model, again highlighting the role of structural cross-country differences. Overall, the FE results indicate strong support for H2 and confirm the importance of economic development (Log GDP) as a control variable, while providing partial evidence for H1. H3 and H4 are not supported under FE, though RE results suggest they may play a role in explaining cross-country variation. The relatively high R\u0026sup2; values, particularly in the RE model (0.973), suggest that the included variables collectively explain a substantial proportion of ESG disclosure variation.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec9\" class=\"Section2\"\u003e \u003ch2\u003e4.3 Robustness Check\u003c/h2\u003e \u003cp\u003eTo examine the consistency of the baseline findings, Table\u0026nbsp;\u003cspan refid=\"Tab6\" class=\"InternalRef\"\u003e7\u003c/span\u003e represents robustness tests under two alternative model specifications: (1) replacing the Geopolitical Risk Index (GPR) with the Disruption Dummy (Model 1), and (2) substituting the dummy variable with GPR as a continuous indicator of global uncertainty (Model 2). Both models were estimated using robust standard errors to account for potential heteroskedasticity. These robustness checks were conducted in R Studio and verified using multiple specifications to ensure model stability. In Model 1, which includes the Disruption Dummy (DR) representing major global crises (COVID-19 and geopolitical shocks), the results remain broadly consistent with the baseline fixed effects estimation. The coefficient for Industry Share (IS) is positive (0.196) and highly significant (p\u0026thinsp;\u0026lt;\u0026thinsp;0.01), reaffirming that economies with a higher proportion of high-risk or carbon-intensive industries tend to exhibit greater ESG disclosure levels. This provides additional support for H2, suggesting that industrial composition continues to be a primary driver of sustainability reporting even under alternative specifications. Similarly, Regulatory Quality (RQ) remains positive and significant (10.473, p\u0026thinsp;\u0026lt;\u0026thinsp;0.01), contrasting with its insignificance in the baseline model and implying that once the disruptive event dummy is included, institutional strength may play a larger role in shaping disclosure responses.\u003c/p\u003e \u003cp\u003eIn contrast, Market Capitalization (MC) remains statistically insignificant (p\u0026thinsp;=\u0026thinsp;0.967), and GDP shows a significant but negative association (-3.151, p\u0026thinsp;\u0026lt;\u0026thinsp;0.01), suggesting that once macroeconomic shocks are controlled for, wealthier countries may not necessarily disclose more ESG information on average. These mixed results indicate that short-term disruptions may introduce nonlinearities or reverse effects between economic scale and disclosure levels, as firms focus more on crisis management than on sustainability reporting.\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 7\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eRobustness Check - Alternative Specifications\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=\"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 \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\u003eModel 1 (Dummy)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eP\u0026gt;|t| (Dummy)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eModel 2 (GPR)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eP\u0026gt;|t| (GPR)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIntercept\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e56.959\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e56.703\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMC\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.967\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e-0.001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.818\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIS\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.196\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.236\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRQ\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e10.473\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e10.979\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGDP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-3.151\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e-3.856\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFDI\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e4.209\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e4.917\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGE\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e10.473\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e10.979\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"5\"\u003eSource: Author\u0026rsquo;s work\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eIn Model 2, where the Geopolitical Risk Index (GPR) replaces the disruption dummy, the findings demonstrate strong robustness of the key relationships. Both Industry Share (0.236, p\u0026thinsp;\u0026lt;\u0026thinsp;0.01) and Regulatory Quality (10.979, p\u0026thinsp;\u0026lt;\u0026thinsp;0.01) remain positive and highly significant, reinforcing the argument that structural and institutional factors dominate the ESG disclosure environment even under heightened uncertainty. The insignificance of Market Capitalization (p\u0026thinsp;=\u0026thinsp;0.818) again indicates that financial market depth does not significantly explain short-term disclosure variations when institutional and risk factors are explicitly controlled. The coefficient on GDP (-3.856, p\u0026thinsp;\u0026lt;\u0026thinsp;0.01) remains negative, consistent with Model 1, implying that countries facing higher levels of geopolitical or macroeconomic uncertainty may reallocate focus from disclosure expansion to operational resilience.\u003c/p\u003e \u003cp\u003eCollectively, these robustness tests confirm that the positive and significant effects of Industry Share and Regulatory Quality are stable across model specifications, while financial and macroeconomic controls behave as expected under uncertainty. Importantly, the consistency of results across both the Disruption Dummy and GPR-based models strengthens confidence in the empirical reliability of the baseline conclusions. The findings also suggest that while crises and geopolitical tensions alter ESG dynamics, structural determinants such as industrial composition and governance quality exert enduring influence on disclosure practices.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec10\" class=\"Section2\"\u003e \u003ch2\u003e4.4 Sensitivity Analysis\u003c/h2\u003e \u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab7\" class=\"InternalRef\"\u003e8\u003c/span\u003e presents the results of the subsample sensitivity analysis conducted separately for developed and emerging economies to explore whether the determinants of ESG disclosure differ across economic contexts. The results reveal notable contrasts in both the magnitude and significance of key coefficients, suggesting structural and institutional heterogeneity in how ESG disclosure evolves across income groups. For developed economies, the coefficient on Industry Share (IS) is positive and highly significant (1.677, p\u0026thinsp;\u0026lt;\u0026thinsp;0.01), indicating that economies with larger proportions of environmentally sensitive industries exhibit higher ESG disclosure levels. This result is consistent with findings from prior research emphasizing the role of industrial composition and regulatory scrutiny in driving sustainability reporting in advanced economies [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e, \u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e]. Interestingly, Regulatory Quality (RQ) shows a significant negative association (-15.569, p\u0026thinsp;\u0026lt;\u0026thinsp;0.01), suggesting potential saturation effects-where strong regulatory systems may already have established disclosure standards, leaving limited scope for additional regulatory influence.\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 8\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eSubsample Analysis - Developed vs Emerging Economies\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=\"left\" 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 \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\u003eDeveloped Coef.\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eP\u0026gt;|t| Developed\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eEmerging Coef.\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eP\u0026gt;|t| Emerging\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIntercept\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e-260.199\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.011\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e88.433\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMC\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.061\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.234\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.063\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.004\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIS\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.677\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.126\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.197\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRQ\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e-15.569\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e6.172\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.082\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDR\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e-1.182\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.229\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\u003e0.085\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGDP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e30.332\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.003\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e-9.417\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFDI\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e6.333\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e10.554\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGE\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e-15.569\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e6.172\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.082\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\u003eIn contrast, the emerging economies model demonstrates that Market Capitalization (MC) is positive and significant (0.063, p\u0026thinsp;\u0026lt;\u0026thinsp;0.01), implying that larger capital markets in developing countries are associated with higher ESG disclosure, consistent with institutional theory arguments that financial development fosters transparency. Both Regulatory Quality (RQ) (6.172, p\u0026thinsp;\u0026lt;\u0026thinsp;0.10) and Disruption Dummy (DR) (1.240, p\u0026thinsp;\u0026lt;\u0026thinsp;0.10) are positive and marginally significant, suggesting that improvements in governance and exposure to crises may have encouraged ESG transparency in emerging economies, possibly due to pressure from international investors and multilateral institutions [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e, \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. Overall, the subsample analysis confirms that while industry structure is the dominant driver in developed economies, financial capacity and institutional modernization play a stronger role in emerging markets. These findings underscore the contextual nature of ESG disclosure determinants and reinforce the need for region-specific policy frameworks to strengthen sustainability reporting practices.\u003c/p\u003e \u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab8\" class=\"InternalRef\"\u003e9\u003c/span\u003e reports the effects of macroeconomic control variables, GDP per capita (GDP), foreign direct investment (FDI), and government effectiveness (GE), on ESG disclosure. These variables were included to account for structural differences in economic development, institutional efficiency, and external financial integration that may influence sustainability reporting across countries. The results indicate that GDP per capita has a statistically significant negative effect on ESG disclosure (-2.872, p\u0026thinsp;\u0026lt;\u0026thinsp;0.01).\u003c/p\u003e \u003cp\u003eThis counterintuitive relationship suggests that as economies become wealthier, the marginal increase in ESG disclosure may diminish, reflecting a potential saturation effect where mature economies have already established reporting standards. Alternatively, this may capture substitution effects where economic expansion diverts focus from reporting improvements toward broader investment priorities [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e].\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 9\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eControl Variables Focus\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\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\u003eP\u0026gt;|t|\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIntercept\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e60.706\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGDP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e-2.872\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFDI\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e4.522\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGE\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e19.311\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"3\"\u003eSource: Author\u0026rsquo;s work\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eIn contrast, FDI exerts a strong and positive influence (4.522, p\u0026thinsp;\u0026lt;\u0026thinsp;0.01) on ESG disclosure. This finding aligns with institutional diffusion theory, which posits that international investors promote the adoption of global ESG standards, especially in emerging markets seeking to attract capital [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. The result underscores the importance of cross-border investment flows as a catalyst for improved sustainability transparency. Finally, government effectiveness (GE) shows a highly significant positive effect (19.311, p\u0026thinsp;\u0026lt;\u0026thinsp;0.01), reaffirming the role of governance capacity in facilitating institutional enforcement of ESG norms. Effective governments are more capable of implementing sustainability regulations, monitoring compliance, and fostering reporting cultures among firms.\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 10\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eVariance Inflation Factor (VIF) Results\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"2\"\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 \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\u003eVIF\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003econst\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e317.64\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMC\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.21\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIS\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.99\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRQ\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003einf\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDR\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.12\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGDP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e7.03\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFDI\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2.12\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGE\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003einf\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"2\"\u003eSource: Author\u0026rsquo;s work\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab9\" class=\"InternalRef\"\u003e10\u003c/span\u003e reflects the variance inflation factor (VIF) values to assess potential multicollinearity among explanatory variables. Except for Regulatory Quality (RQ), which shows a very high VIF value due to limited within-sample variation, all other variables exhibit VIFs well below the threshold of 5, indicating no serious multicollinearity concern. The relatively low VIFs for Market Capitalization (1.21), Industry Share (1.99), and Disruption Dummy (1.12) confirm that the estimated coefficients are statistically reliable and not inflated by redundant explanatory power. The results suggest that the model specifications used in Tables\u0026nbsp;5 through \u003cspan refid=\"Tab8\" class=\"InternalRef\"\u003e9\u003c/span\u003e are not adversely affected by collinearity, ensuring robustness and interpretability of regression outcomes [\u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e58\u003c/span\u003e].\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec11\" class=\"Section2\"\u003e \u003ch2\u003e4.5 Discussion of Key Findings\u003c/h2\u003e \u003cp\u003eThe empirical analysis across Tables\u0026nbsp;5\u0026ndash;\u003cspan refid=\"Tab9\" class=\"InternalRef\"\u003e10\u003c/span\u003e provides a coherent view of the macro-level determinants of ESG disclosure and their contextual dynamics across economies. Consistent with the theoretical framework, industry composition and economic development emerge as the most stable and significant drivers of ESG disclosure, supporting the argument that structural and resource-based factors underpin national sustainability performance. The findings provide strong support for H2, confirming that economies with higher shares of environmentally sensitive industries tend to disclose more ESG information, reflecting heightened environmental scrutiny and stakeholder pressure. H1 receives partial support, as financial strength measured by market capitalization is significant in cross-country comparisons (RE and emerging subsample models) but not within-country variations, indicating that market depth influences ESG behavior through structural rather than temporal effects.\u003c/p\u003e \u003cp\u003eConversely, H3 and H4 are not supported under the fixed-effects model, although robustness and subsample analyses suggest these factors play a secondary but contextually relevant role. Regulatory quality influences disclosure more prominently in emerging economies, while geopolitical risks and disruptions appear to amplify ESG communication in cross-sectional settings rather than within-country dynamics. The control variable analysis further reinforces that foreign direct investment (FDI) and government effectiveness (GE) serve as key enabling factors for ESG transparency, underscoring the importance of institutional governance and international financial integration in advancing sustainable reporting.\u003c/p\u003e \u003cp\u003eIn sum, the results suggest that ESG disclosure is shaped primarily by structural economic characteristics and institutional strength, while the effects of short-term disruptions and regulatory variation remain contingent on national contexts. These findings contribute to the growing literature on ESG disclosure and climate resilience by highlighting the need for long-term institutional capacity building and policy harmonization to enhance global corporate transparency.\u003c/p\u003e \u003c/div\u003e"},{"header":"5. Conclusion and Recommendations","content":"\u003cp\u003eThis study provides a comprehensive cross-country analysis of the financial and institutional determinants of ESG disclosure, focusing on both developed and emerging economies from 2010 to 2022. Drawing on panel regression techniques with fixed and random effects estimated in R Studio, the paper investigates how macro-financial indicators; market capitalization, industrial composition, regulatory quality, economic disruptions, and global risk factors; shape the trajectory of corporate sustainability transparency.\u003c/p\u003e \u003cp\u003eThe empirical findings reveal that industry composition and economic development (log GDP per capita) are the strongest and most consistent predictors of ESG disclosure, consistent with earlier cross-country evidence [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e, \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e, \u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e]. Economies with a higher concentration of carbon-intensive or high-risk industries exhibit significantly greater ESG transparency, consistent with stakeholder theory and legitimacy-driven reporting incentives. Similarly, wealthier nations demonstrate more advanced ESG practices, supporting the argument that financial capacity enables sustainability investments and disclosure infrastructure. Conversely, regulatory quality and crisis-related variables did not show statistically significant effects within fixed effects estimations, suggesting that institutional maturity and policy shocks may influence ESG disclosure primarily through long-term or cross-country channels rather than short-term within-country variation.\u003c/p\u003e \u003cp\u003eThe inclusion of control variables, government effectiveness, FDI inflows, and GDP per capita, further strengthened the analysis by highlighting the interplay between global capital flows and institutional governance quality. Specifically, FDI emerged as a positive driver of ESG transparency, emphasizing the role of international investment norms in shaping sustainability reporting, particularly in emerging markets. The positive and significant effect of government effectiveness underscores the importance of efficient public governance in institutionalizing corporate accountability mechanisms. From a theoretical standpoint, these findings contribute to the integration of institutional theory and resource-based perspectives within the ESG-finance literature. They suggest that the diffusion of ESG practices depends not only on financial market maturity but also on the capacity of domestic governance systems to enforce transparency and resilience-oriented regulation.\u003c/p\u003e \u003cdiv id=\"Sec13\" class=\"Section2\"\u003e \u003ch2\u003e5.1 Policy Implications\u003c/h2\u003e \u003cp\u003eThe results offer several implications for policymakers, regulators, and investors. First, policymakers in emerging economies should harmonize ESG frameworks with global standards to enhance transparency and attract sustainable investment [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e, \u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e, \u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e]. Second, international organizations and investors should encourage ESG capacity-building, particularly in countries with weaker institutional quality, to facilitate convergence toward credible reporting norms. Third, governments can leverage financial sector incentives, such as green bonds and sustainability-linked lending, to integrate ESG disclosure within broader green finance strategies, supporting the objectives of climate resilience and inclusive economic development (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eWhile strengthening ESG disclosure mandates is essential, policymakers must also address the risk of strategic or symbolic reporting, as firms may engage in greenwashing by selectively disclosing favorable sustainability information without substantive performance improvements [\u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e59\u003c/span\u003e]. More broadly, ESG reforms in emerging and developing economies require balancing transparency expectations with institutional capacity, as countries face persistent structural challenges alongside significant opportunities for sustainable finance development [\u003cspan citationid=\"CR60\" class=\"CitationRef\"\u003e60\u003c/span\u003e]. Beyond formal regulation, informal institutional factors such as societal trust also shape ESG transparency. Higher levels of societal trust are associated with more credible and extensive firm-level ESG disclosure, reinforcing the role of social norms in sustainability reporting practices [\u003cspan citationid=\"CR61\" class=\"CitationRef\"\u003e61\u003c/span\u003e].\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec14\" class=\"Section2\"\u003e \u003ch2\u003e5.2 Managerial and Practical Implications\u003c/h2\u003e \u003cp\u003eFor corporate managers and financial institutions, the study highlights that industry exposure and foreign capital participation are critical drivers of disclosure behavior. Firms in high-risk industries should leverage ESG transparency not merely as a compliance exercise but as a strategic communication tool to strengthen legitimacy and attract long-term capital [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e, \u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e, \u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e]. Likewise, institutional investors can use ESG disclosure trends as country-level risk indicators, integrating macro-sustainability data into their portfolio allocation and risk management frameworks (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). From a capital-market perspective, enhanced ESG disclosure improves informational efficiency, as mandatory sustainability reporting strengthens price discovery and facilitates the incorporation of non-financial information into asset prices [\u003cspan citationid=\"CR62\" class=\"CitationRef\"\u003e62\u003c/span\u003e].\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec15\" class=\"Section2\"\u003e \u003ch2\u003e5.3 Limitations and Future Research\u003c/h2\u003e \u003cp\u003eThis study covers a large panel of countries using reliable institutional data sources; however, it is limited by the availability of consistent ESG disclosure indicators across time and regions. Future research could employ firm-level microdata or text-based disclosure measures to complement country-level trends. Moreover, integrating dynamic panel methods (e.g., system GMM) and causal inference approaches could help address potential endogeneity between financial performance, institutional quality, and ESG disclosure. Expanding the analysis to include climate policy stringency indices, media sentiment, or fintech-based ESG adoption metrics could further illuminate the evolving role of digital finance in promoting sustainable reporting.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec16\" class=\"Section2\"\u003e \u003ch2\u003e5.4 Conclusion\u003c/h2\u003e \u003cp\u003eOverall, the findings reaffirm that financial structure, industry risk profile, and institutional governance remain central to the evolution of ESG transparency worldwide. By situating ESG disclosure within the broader dynamics of green finance and climate resilience, this study underscores the necessity of integrating economic, regulatory, and geopolitical dimensions into sustainability policymaking. Strengthening the transparency infrastructure of global capital markets thus represents not only a regulatory priority but also a cornerstone of the green finance revolution that underpins the sustainable transition of the 21st century.\u003c/p\u003e \u003c/div\u003e"},{"header":"Declarations","content":"\u003cp\u003e \u003cstrong\u003eEthics Approval and consent to participate\u003c/strong\u003e \u003cp\u003eNot applicable\u003c/p\u003e \u003c/p\u003e\u003cp\u003e \u003cstrong\u003eConsent for publication\u003c/strong\u003e \u003cp\u003eNot applicable.\u003c/p\u003e \u003c/p\u003e\u003cp\u003e \u003cstrong\u003eCompeting interests\u003c/strong\u003e \u003cp\u003eThe author declares no competing interests.\u003c/p\u003e \u003c/p\u003e\u003cp\u003e \u003ch2\u003eClinical Trail Number\u003c/h2\u003e \u003cp\u003eNot applicable\u003c/p\u003e \u003c/p\u003e\u003ch2\u003eFunding\u003c/h2\u003e\u003cp\u003eThis research is supported by Deanship of Applied research and Enterprise (DARE) at Bahrain Polytechnic.\u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eKhalil: The author conceptualized and designed the study, collected and analyzed the secondary data, and wrote all sections of the manuscript.\u003c/p\u003e\u003ch2\u003eAcknowledgements\u003c/h2\u003e\u003cp\u003eThe author expresses his sincere thanks to the School of Business, and DARE office at Bahrain Polytechnic, for providing research support to facilitate this study. The author is grateful to the anonymous referees of the journal for their extremely useful suggestions to improve the quality of the article.\u003c/p\u003e\u003ch2\u003eData Availability\u003c/h2\u003e\u003cp\u003eThe datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eAdams CA, Abhayawansa S. Connecting the COVID-19 pandemic, ESG investing and calls for harmonisation of sustainability reporting. Crit Perspect Acc. 2022;82:102309. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.cpa.2021.102309\u003c/span\u003e\u003cspan address=\"10.1016/j.cpa.2021.102309\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eGillan SL, Koch A, Starks LT. 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Int Rev Financ Anal. 2023;88:102731. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.irfa.2023.102731\u003c/span\u003e\u003cspan address=\"10.1016/j.irfa.2023.102731\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"discover-sustainability","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"disu","sideBox":"Learn more about [Discover Sustainability](https://www.springer.com/43621)","snPcode":"","submissionUrl":"","title":"Discover Sustainability","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Discover Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"ESG disclosure, Regulatory quality, Industry risk, Economic disruption, Sustainability reporting, Financial Markets, Institutional factors","lastPublishedDoi":"10.21203/rs.3.rs-8652144/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8652144/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eEnvironmental, Social, and Governance (ESG) disclosure has become an essential mechanism through which firms signal transparency, resilience, and commitment to sustainable finance, particularly under conditions of economic uncertainty and global market disruptions. Despite growing interest in ESG practices, limited evidence exists on how financial determinants and systemic shocks jointly shape ESG disclosure across countries. This study investigates the macro-level drivers of ESG disclosure by examining the role of financial market development, industry risk composition, institutional quality, and global disruptions within a comparative international framework. Using a balanced panel dataset of eight developed and emerging economies over the period 2010\u0026ndash;2022, the analysis employs fixed- and random-effects panel regression techniques to account for unobserved heterogeneity and cross-country variation. The findings reveal that industry composition and economic development are the most robust and consistent predictors of ESG disclosure, indicating that structural characteristics and resource availability play a dominant role in shaping transparency outcomes. Financial market depth and institutional quality contribute primarily through cross-country differences rather than within-country temporal changes, while the effects of geopolitical risks and disruptions remain context-dependent. Subsample analyses further highlight heterogeneity between developed and emerging economies, with financial capacity and governance reforms exerting stronger influence in the latter. Overall, the study advances sustainability literature by positioning ESG disclosure as an outcome of financial architecture and systemic uncertainty, offering policy-relevant insights for regulators, investors, and firms seeking to strengthen ESG transparency as part of long-term climate resilience and sustainable development strategies.\u003c/p\u003e","manuscriptTitle":"ESG Disclosure, Financial Determinants, and Market Disruptions A Global Analysis of Corporate Transparency","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-01-27 14:22:58","doi":"10.21203/rs.3.rs-8652144/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"editorInvitedReview","content":"","date":"2026-04-07T20:42:03+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-03-30T08:27:28+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-03-30T01:04:40+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"302804203155026412374735633412631374836","date":"2026-03-26T19:53:55+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"245505399253159424129825814025425586995","date":"2026-03-24T18:32:35+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-02-23T12:37:12+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-02-19T10:49:43+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"64121124991210062261600010022695417342","date":"2026-02-19T10:32:40+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"273672638526532073451947598999590852789","date":"2026-02-18T04:26:45+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"95772946292213297330960627653848878443","date":"2026-02-17T03:31:09+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2026-02-16T14:45:04+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2026-01-26T06:05:19+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2026-01-26T06:03:46+00:00","index":"","fulltext":""},{"type":"submitted","content":"Discover Sustainability","date":"2026-01-20T17:31:57+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"discover-sustainability","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"disu","sideBox":"Learn more about [Discover Sustainability](https://www.springer.com/43621)","snPcode":"","submissionUrl":"","title":"Discover Sustainability","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Discover Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"0bb28cb2-5622-48f3-993f-ed148b0553ba","owner":[],"postedDate":"January 27th, 2026","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2026-02-16T14:53:54+00:00","versionOfRecord":[],"versionCreatedAt":"2026-01-27 14:22:58","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8652144","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8652144","identity":"rs-8652144","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}