Submitted:
29 August 2024
Posted:
30 August 2024
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Literature Review and Development of Hypotheses
2.1. Investigating the Impact on Operational Performance Using the Return on Assets (ROA)
2.2. Impact on Financial Performance Using the Return on Equity (ROE)
2.3. Impact on Market Performance Using Tobin’s Q
3. Materials and Methods
3.1. Sample
3.2. Data Description
3.3. The Model and Estimation Technique
3.4. Estimation Technique
3.5. ESG Index Construction
-
Construction methodology:
- 1.
- Data collection: The researchers gathered ESG disclosure indicators from the annual reports of the top 100 non-financial listed companies on the Saudi Arabian stock exchange (Tadawul) for the period 2017-2022.
- 2.
- Standardisation: Variables were standardised to ensure that they were on the same scale, eliminating potential abnormalities and facilitating comparisons.
- 3.
-
Principal component analysis (PCA):
- a)
- PCA was applied to the standardised data to transform the original variables into a new set of uncorrelated variables called principal components.
- b)
- The researchers determined the explained variance ratio to understand the weight of each component in ESG disclosure.
- 4.
- Exploratory factor analysis (EFA): This was used alongside PCA to further refine the understanding of the ESG components.
- 5.
- Weighting: A Shelby/NC weighting of principal components was applied.
- 6.
- Index construction: The ESG index was constructed by aggregating the weighted scores of the principal components.
- 7.
- Normalisation: The resulting indices were normalised to facilitate comparison across companies.
-
Informational role:
- Comprehensive measure: The ESG index serves as a single, comprehensive measure that combines environmental, social, and governance metrics. This allows for an effective assessment of firms’ compliance with sustainability and governance-related issues.
- Standardisation: By creating a standardised index, the researchers could make meaningful comparisons across different companies and sectors.
- Reduction of dimensionality: PCA allows for the reduction of multiple ESG indicators into a smaller set of components, making analysis more manageable while retaining most of the original information.
- Key independent variable: The ESG index serves as the primary independent variable in the regression models, allowing the researchers to examine its relationship with various performance measures (ROA, ROE, and Tobin’s Q).
- Sector comparison: The standardised index enables the comparison of ESG performance between manufacturing and non-manufacturing sectors.
- Time series analysis: The index construction allows for the analysis of ESG disclosure trends over the study period (2017-2022).
- Holistic assessment: By combining individual environmental, social, and governance indicators, the index provides a holistic assessment of a company’s sustainability practices and performance.
- Investor information: The index provides valuable information for stakeholders and investors, facilitating responsible investment behaviour and decision making.
- Robustness: The use of PCA in constructing the index helps address potential multicollinearity issues among ESG components, enhancing the robustness of the subsequent analyses.
3.6. Validation and Robustness Tests
-
Validation tests:
- Hausman test: This was used to determine the most appropriate model between fixed effects and random effects.
- Multiple regression models: This study used fixed effects, random effects, and generalised method of moments (GMM) models to analyse the relationships. This approach allows for comparison and validation across different model specifications.
-
Robustness tests:
- Multiple performance measures: The study used three different measures of firm performance: ROA, ROE, and Tobin’s Q. This helped to ensure that the results were robust across different performance metrics.
- Control variables: The models included several control variables such as firm size, financial leverage, firm age, liquidity, and tangibility. This helped to control for other factors that may influence firm performance.
- Sector-specific analysis: Table 8 presents a sensitivity analysis comparing the impacts of ESG disclosure on firm performance between manufacturing and non-manufacturing sectors. This tested whether the results held across different industry contexts.
- Different estimation techniques: By using fixed effects, random effects, and GMM models, this study tested the robustness of the results across different estimation techniques.
- Sample size: The study used a relatively large sample of 600 observations over a 6-year period (2017-2022), which enhanced the reliability of the results.
- Principal component analysis (PCA): The study used PCA to construct the ESG index, which helps address potential multicollinearity issues among ESG components.
4. Results and Discussion
- Talent attraction and retention: Ethical practices and sustainability initiatives can create a positive work environment, attracting and retaining skilled employees who, in turn, can increase productivity [38].
- Risk mitigation: Robust ESG practices can help companies better manage operational risks associated with environmental and social issues [52].
- Enhanced brand reputation: Better ESG practices can improve a company’s image, potentially leading to increased customer loyalty and sales [39].
- Improved access to capital: Companies with strong ESG performance may attract socially responsible investors, potentially lowering their cost of capital [3].
- Risk management: ESG practices can help mitigate various risks, potentially leading to more stable financial performance over time [52].
- Investor perception: Companies with strong ESG practices are viewed as having better long-term prospects, leading to higher market valuations [37].
- Risk premium: ESG-focused companies are perceived as less risky, potentially commanding a higher market valuation [21].
- Future growth potential: Strong ESG practices will signal better management quality and potential for future growth, reflected in higher market valuations [31].
Comparative Analysis of the ESG Disclosure
- In the manufacturing sector, ESG disclosure shows a negative relationship with the ROA and ROE, which is contrary to our hypotheses. This could be due to the high initial costs of implementing ESG practices in manufacturing industries, which may negatively impact their short-term profitability [16,25].
- For Tobin’s Q, ESG disclosure shows a negative relationship in the manufacturing sector but a positive one in the non-manufacturing sector. This indicates that market perceptions of ESG practices may differ across sectors, which is possibly due to varying investor expectations or industry-specific challenges [11].
- Firm age: This is generally positive but with varying significance levels across models. This suggests that older firms may benefit from accumulated experience and established market positions [38].
- Financial leverage: This had mostly negative relationships with the performance measures, indicating that higher debt levels may constrain financial flexibility and performance [64].
5. Conclusions and Policy Recommendations
- The sample should be expanded to include a broader range of companies, including non-listed firms.
- Longitudinal studies should be conducted to examine the long-term impacts of ESG practices on firm performance.
- The specific ESG factors that drive performance differences across industries should be investigated.
- The impacts of ESG practices on non-financial performance measures, such as employee satisfaction and customer loyalty, should be explored.
- ESG disclosure is positively associated with operational performance via the ROA, financial performance via the ROE, and market performance via the Tobin’s Q.
- The relationships between ESG disclosure and firm performance vary between the manufacturing and non-manufacturing sectors, highlighting the importance of the industrial context.
- The impact of ESG disclosure on firm performance remains significant even after controlling for various firm characteristics.
- Encouraging ESG disclosure: Regulators should continue to promote and potentially mandate comprehensive ESG disclosure practices among listed companies.
- Sector-specific guidance: Industry-specific ESG disclosure guidelines that account for sector-specific challenges and opportunities should be developed.
- Investor education: Programs should be implemented to educate investors about the importance and interpretation of ESG information in investment decision making.
- Incentive structures: The creation of incentives for companies that demonstrate strong ESG performance and disclosure practices should be considered.
- Long-term perspective: A shift towards long-term thinking in corporate governance and investment practices in alignment with the typically longer-term nature of ESG benefits should be encouraged.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Ren, X., G. Zeng, and Y. Zhao, Digital finance and corporate ESG performance: Empirical evidence from listed companies in China. Pacific-Basin Finance Journal, 2023. 79: p. 102019. [CrossRef]
- Balatbat, M., R. Siew, and D. Carmichael. ESG scores and its influence on firm performance: Australian evidence. in Australian school of business school of accounting, school of accounting seminar series semester. 2012. University of New South Wales Sydney, Australia.
- Bao, X., et al., Corporate integrity culture on environmental, social, and governance (ESG) performance. Corporate Social Responsibility and Environmental Management, 2024. 31(2): p. 1399-1417. [CrossRef]
- Alfalih, A.A., ESG disclosure practices and financial performance: a general and sector analysis of SP-500 non-financial companies and the moderating effect of economic conditions. Journal of Sustainable Finance & Investment, 2023. 13(4): p. 1506-1533. [CrossRef]
- Buallay, A., et al., Corporate social responsibility disclosure and firms’ performance in Mediterranean countries: a stakeholders’ perspective. EuroMed Journal of Business, 2020. 15(3): p. 361-375. [CrossRef]
- Alareeni, B.A. and A. Hamdan, ESG impact on performance of US S&P 500-listed firms. Corporate Governance: The International Journal of Business in Society, 2020. 20(7): p. 1409-1428. [CrossRef]
- Nguyen, D.T., T.G. Hoang, and H.G. Tran, Help or hurt? The impact of ESG on firm performance in S&P 500 non-financial firms. Australasian Accounting, Business and Finance Journal, 2022. 16(2): p. 91-102. [CrossRef]
- Chen, L., et al., ESG disclosure and technological innovation capabilities of the Chinese listed companies. Research in International Business and Finance, 2023. 65: p. 101974. [CrossRef]
- Bose, S., Evolution of ESG reporting frameworks. Values at work: Sustainable investing and ESG reporting, 2020: p. 13-33.
- Gupta, A., U. Sharma, and S.K. Gupta. The role of ESG in sustainable development: An analysis through the lens of machine learning. in 2021 IEEE International Humanitarian Technology Conference (IHTC). 2021. IEEE.
- Lydenberg, S., Ethics, politics, sustainability and the 21st century trustee, in Socially Responsible Investment in the 21st Century: Does it Make a Difference for Society? 2014, Emerald Group Publishing Limited. p. 197-213.
- Yeoh, P., The Sustainability of Environmental, Social and Governance (ESG) Reporting in the US and the UK. Business Law Review, 2021. 42(6). [CrossRef]
- Bassen, A. and A.M. Kovács, Environmental, social and governance key performance indicators from a capital market perspective. 2020: Springer. [CrossRef]
- Buallay, A., Sustainability reporting and firm’s performance: Comparative study between manufacturing and banking sectors. International Journal of Productivity and Performance Management, 2020. 69(3): p. 431-445. [CrossRef]
- Carnini Pulino, S., et al., Does ESG disclosure influence firm performance? Sustainability, 2022. 14(13): p. 7595. [CrossRef]
- Tarmuji, I., R. Maelah, and N.H. Tarmuji, The impact of environmental, social and governance practices (ESG) on economic performance: Evidence from ESG score. International Journal of Trade, Economics and Finance, 2016. 7(3): p. 67. [CrossRef]
- Aydoğmuş, M., G. Gülay, and K. Ergun, Impact of ESG performance on firm value and profitability. Borsa Istanbul Review, 2022. 22: p. S119-S127. [CrossRef]
- Meng, T., et al., ESG performance, investor attention, and company reputation: Threshold model analysis based on panel data from listed companies in China. Heliyon, 2023. [CrossRef]
- Lokuwaduge, C.S.D.S. and K. Heenetigala, Integrating environmental, social and governance (ESG) disclosure for a sustainable development: An Australian study. Business Strategy and the Environment, 2017. 26(4): p. 438-450. [CrossRef]
- Chelawat, H. and I.V. Trivedi, The business value of ESG performance: The Indian context. Asian journal of business ethics, 2016. 5(1): p. 195-210. [CrossRef]
- Koundouri, P., N. Pittis, and A. Plataniotis, The impact of ESG performance on the financial performance of European area companies: An empirical examination. Environmental Sciences Proceedings, 2022. 15(1): p. 13.
- Freeman, R.E., S.D. Dmytriyev, and R.A. Phillips, Stakeholder theory and the resource-based view of the firm. Journal of management, 2021. 47(7): p. 1757-1770. [CrossRef]
- Pesqueux, Y. and S. Damak-Ayadi, Stakeholder theory in perspective. Corporate Governance: The international journal of business in society, 2005. 5(2): p. 5-21.
- Donaldson, T. and L.E. Preston, The stakeholder theory of the corporation: Concepts, evidence, and implications. Academy of management Review, 1995. 20(1): p. 65-91. [CrossRef]
- Atan, R., et al., Environmental, social and governance (ESG) disclosure and its effect on firm’s performance: A comparative study. International Journal of Economics and Management, 2016. 10(2): p. 355-375.
- Bonnafous-Boucher, M., et al., Stakeholder theory in strategic management. Stakeholder theory: A model for strategic management, 2016: p. 21-39. [CrossRef]
- Bae, S.M., M.A.K. Masud, and J.D. Kim, A cross-country investigation of corporate governance and corporate sustainability disclosure: A signaling theory perspective. Sustainability, 2018. 10(8): p. 2611. [CrossRef]
- Fu, L., D.M. Boehe, and M.O. Orlitzky, Broad or narrow stakeholder management? A signaling theory perspective. Business & Society, 2022. 61(7): p. 1838-1880. [CrossRef]
- Cuadrado-Ballesteros, B., A.-M. Ríos, and M.-D. Guillamón, Transparency in public administrations: a structured literature review. Journal of Public Budgeting, Accounting & Financial Management, 2023. 35(5): p. 537-567. [CrossRef]
- Zhou, G., L. Liu, and S. Luo, Sustainable development, ESG performance and company market value: Mediating effect of financial performance. Business Strategy and the Environment, 2022. 31(7): p. 3371-3387. [CrossRef]
- Alsayegh, M.F., et al., The role of sustainability reporting and governance in achieving sustainable development goals: an international investigation. Sustainability, 2023. 15(4): p. 3531. [CrossRef]
- Barnea, A. and A. Rubin, Corporate social responsibility as a conflict between shareholders. Journal of business ethics, 2010. 97: p. 71-86. [CrossRef]
- Fisher-Vanden, K. and K.S. Thorburn, Voluntary corporate environmental initiatives and shareholder wealth. Journal of Environmental Economics and management, 2011. 62(3): p. 430-445. https://doi.org/10.1016/j.jeem.2011.04.003. [CrossRef]
- Orlitzky, M., F.L. Schmidt, and S.L. Rynes, Corporate social and financial performance: A meta-analysis. Organization studies, 2003. 24(3): p. 403-441. [CrossRef]
- Sahut, J.-M. and H. Pasquini-Descomps, ESG impact on market performance of firms: International evidence. Management international, 2015. 19(2): p. 40-63. [CrossRef]
- Stein Smith, S. and S. Stein Smith, ESG & Other Emerging Technology Applications. Blockchain, Artificial Intelligence and Financial Services: Implications and Applications for Finance and Accounting Professionals, 2020: p. 175-191.
- Crisóstomo, V.L., F. de Souza Freire, and F.C. De Vasconcellos, Corporate social responsibility, firm value and financial performance in Brazil. Social responsibility journal, 2011. 7(2): p. 295-309. [CrossRef]
- Achim, M.-V., S.-N. Borlea, and C. Mare, Corporate governance and business performance: Evidence for the Romanian economy. Journal of Business Economics and Management, 2016. 17(3): p. 458-474. [CrossRef]
- Duque-Grisales, E. and J. Aguilera-Caracuel, Environmental, social and governance (ESG) scores and financial performance of multilatinas: Moderating effects of geographic international diversification and financial slack. Journal of Business Ethics, 2021. 168(2): p. 315-334. [CrossRef]
- Argaam. Argaam homepage. n.d. 7/2/2024]; Available from: https://www.argaam.com.
- ARGAAM, Top Rank Companies - Markey Vaue. 2024.
- Birindelli, G., et al., Composition and activity of the board of directors: Impact on ESG performance in the banking system. Sustainability, 2018. 10(12): p. 4699. [CrossRef]
- Buallay, A., et al., Sustainability reporting and performance of MENA banks: is there a trade-off? Measuring Business Excellence, 2020. 24(2): p. 197-221. [CrossRef]
- Margolis, J.D., H.A. Elfenbein, and J.P. Walsh, Does it pay to be good... and does it matter? A meta-analysis of the relationship between corporate social and financial performance. And does it matter, 2009.
- Buallay, A., et al., Sustainability reporting and bank performance after financial crisis: evidence from developed and developing countries. Competitiveness Review: An International Business Journal, 2021. 31(4): p. 747-770. [CrossRef]
- Han, C. and B. Chen, Can the improvement of the social credit environment enhance corporate ESG scores? Plos one, 2024. 19(3): p. e0300247. [CrossRef]
- Huang, D.Z., Environmental, social and governance (ESG) activity and firm performance: A review and consolidation. Accounting & finance, 2021. 61(1): p. 335-360. [CrossRef]
- Almeyda, R. and A. Darmansya, The influence of environmental, social, and governance (ESG) disclosure on firm financial performance. IPTEK Journal of Proceedings Series, 2019(5): p. 278-290. [CrossRef]
- Aboud, A. and A. Diab, The financial and market consequences of environmental, social and governance ratings: The implications of recent political volatility in Egypt. Sustainability Accounting, Management and Policy Journal, 2019. 10(3): p. 498-520. [CrossRef]
- Drempetic, S., C. Klein, and B. Zwergel, The influence of firm size on the ESG score: Corporate sustainability ratings under review. Journal of business ethics, 2020. 167(2): p. 333-360. [CrossRef]
- Yu, E.P.Y., C.Q. Guo, and B.V. Luu, Environmental, social and governance transparency and firm value. Business Strategy and the Environment, 2018. 27(7): p. 987-1004. [CrossRef]
- Velte, P., Does ESG performance have an impact on financial performance? Evidence from Germany. Journal of global responsibility, 2017. 8(2): p. 169-178. [CrossRef]
- Friedman, H.L., M.S. Heinle, and I. Luneva, A theoretical framework for ESG reporting to investors. Available at SSRN 3932689, 2021.
- Kaiser, L. and J. Welters, Risk-mitigating effect of ESG on momentum portfolios. The Journal of Risk Finance, 2019. 20(5): p. 542-555. [CrossRef]
- Shaikh, I., Environmental, social, and governance (ESG) practice and firm performance: an international evidence. Journal of Business Economics and Management, 2022. 23(1): p. 218–237-218–237. [CrossRef]
- Ting, I.W.K., et al., Corporate social performance and firm performance: Comparative study among developed and emerging market firms. Sustainability, 2019. 12(1): p. 26. [CrossRef]
- Bamahros, H.M., et al., Corporate governance mechanisms and ESG reporting: Evidence from the Saudi Stock Market. Sustainability, 2022. 14(10): p. 6202. [CrossRef]
- Rajesh, R., Exploring the sustainability performances of firms using environmental, social, and governance scores. Journal of Cleaner Production, 2020. 247: p. 119600. [CrossRef]
- Ersoy, E., et al., The impact of ESG scores on bank market value? Evidence from the US banking industry. Sustainability, 2022. 14(15): p. 9527. [CrossRef]
- Quatrini, S. and R. Costanza, No time to lie: Sustainable finance needs nextgen assurance, in Sustainable Finance and the Global Health Crisis. 2023, Routledge. p. 77-99.
- Abdul Rahman, R. and M.F. Alsayegh, Determinants of corporate environment, social and governance (ESG) reporting among Asian firms. Journal of Risk and Financial Management, 2021. 14(4): p. 167. [CrossRef]
- Bhagat, S. and B. Bolton, Corporate governance and firm performance. Journal of corporate finance, 2008. 14(3): p. 257-273. [CrossRef]
- Moussa, A.S. and M. Elmarzouky, Does Capital Expenditure Matter for ESG Disclosure? A UK Perspective. Journal of Risk and Financial Management, 2023. 16(10): p. 429. [CrossRef]
- Cao, Y., L. Tao, and Y. Zhang, Does environmental credit rating policy improve corporate ESG performance? Sustainable Development, 2024.
- Alsayegh, M.F., R. Abdul Rahman, and S. Homayoun, Corporate economic, environmental, and social sustainability performance transformation through ESG disclosure. Sustainability, 2020. 12(9): p. 3910. [CrossRef]
- Crisóstomo, V., F. Freire, and F. Vasconcellos, Corporate social responsibility, firm value and financial performance in Brazil. Social Responsibility Journal, 2011. 7: p. 295-309. [CrossRef]
- Exchange, S. ESG Disclosure Guidelines. 2018 27/6/2024]; Available from: https://www.saudiexchange.sa/wps/portal/saudiexchange/listing/issuer-guides/esg-guidelines?locale=ar.
| Variable Symbols | Full Name | Definition and Description |
|---|---|---|
| Dependent Variables | ||
| ROA | Return on Assets | Return on assets is the calculation of the profitability as a percentage of the net earnings in proportion to all the assets owned by the company. |
| ROE | Return on Equity | Return on equity determines the benefit as a proportion of the net income to the shareholder equity. |
| Q | Tobin-Q | Tobin’s Q compares the overall market value of a business with the book value of its tangible assets. |
| Independent Variables | ||
| ESG Index | The ESG index, which was created through principal component analysis (PCA), is a single measure that combines environmental, social, and governance metrics so that firms can be effectively assessed in terms of their compliance to sustainability- and governance-related issues. It determines the ESG compliance of firm i during a period. | |
| Control Variables | ||
| Size | Firm Size | Firm size = natural log of total assets of firm (i) in period (t), which reflects the firm’s capital and resources during that period. |
| Age | Firm Age | Firm age = the duration from the establishment of firm (i) to period (t), which shows the market experience. |
| LEV | Financial Leverage | Financial leverage = the proportion of the total liabilities to the total assets of firm (i) during period (t), which is a control variable. |
| Tan | Tangibility | The amount of assets that are physical in nature as compared to the overall assets of a company. |
| Liq | Liquidity | The capacity of a company to fulfil its short-term obligations with relative ease. |
| Variables | Mean | SD | Max | Min | Skewness | Kurtosis | Jarque–Bera | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Independent Variable | |||||||||||||
| ESG Disclosure | 32.166 | 12.415 | 75.349 | 11.397 | 0.506 | 2.493 | 0.000 | ||||||
| Environmental (E) | 28.513 | 10.544 | 70.109 | 12.156 | 0.415 | 2.158 | 0.000 | ||||||
| Social (S) | 31.256 | 11.661 | 74.190 | 10.513 | 0.457 | 2.297 | 0.000 | ||||||
| Governance (G) | 30.791 | 9.817 | 72.331 | 11.701 | 0.418 | 2.153 | 0.000 | ||||||
| Dependent Variable | |||||||||||||
| ROA (Return on Assets) ROE (Return on Equity) |
5.523 17.816 |
5.561 27.160 |
45.841 526.885 |
-5.393 8.331 |
−0.065 6.221 |
10.982 98.624 |
0.000 0.000 |
||||||
| Tobin’s Q | 1.800 | 1.050 | 8.697 | 0.615 | 2.478 | 11.936 | 0.000 | ||||||
| Control Variables | |||||||||||||
| Firm Size (Net) | 73,887 | 235,102 | 2,571,273 | 1011 | 6.891 | 56.005 | 0.000 | ||||||
| Financial Leverage | 2.994 | 3.370 | 78.422 | 1.045 | 6.635 | 85.760 | 0.000 | ||||||
| Firm Age | 0.683 | 0.577 | 3.792 | 0.028 | 2.001 | 8.232 | 0.000 | ||||||
| Tangibility | 0.514 | 0.806 | 0 | 11.913 | 3.891 | 46.013 | 0.000 | ||||||
| Liquidity | 2.117 | 2.171 | 0.111 | 27.646 | 4.635 | 55.760 | 0.000 | ||||||
| Variables | ENV | SOC | GOV | ESG Index | ROA | ROE | Tobin’s Q |
Firm Age | Firm Size | Financial Leverage |
|---|---|---|---|---|---|---|---|---|---|---|
| ENV (Environmental) | 1 | |||||||||
| SOC (Social) | 0.241 | 1 | ||||||||
| GOV (Governance) | −0.142 | 0.328 | 1 | |||||||
| ESG Index | 0.651 | 0.727 | 0.487 | 1 | ||||||
| ROA | 0.048 | 0.051 | 0.035 | 0.036 | 1 | |||||
| ROA | 0.043 | 0.147 | 0.026 | 0.064 | 0.83 | 1 | ||||
| Tobin’s Q | 0.098 | 0.002 | 0.129 | 0.01 | 0.224 | 0.079 | 1 | |||
| Firm Age | 0.032 | −0.076 | 0.008 | 0.037 | 0.058 | 0.019 | 0.101 | 1 | ||
| Firm Size | 0.007 | −0.139 | 0.079 | 0.131 | 0.156 | 0.089 | 0.017 | 0.174 | 1 | |
| Financial Leverage | −0.024 | −0.196 | −0.019 | −0.089 | −0.031 | −0.038 | 0.202 | −0.025 | −0.032 | 1 |
| Fixed Effect | Random Effect | GMM | |
|---|---|---|---|
| Variable | ROA | ||
| Intercept | 0.134 * | 0.083 * | 0.022 |
| (0.073) | (0.044) | (0.036) | |
| ESG Disclosure | 0.002 *** | −0.001 ** | 0.002 ** |
| (0.001) | (0.001) | (0) | |
| Firm Size | 0.036 *** | 0.006 * | 0.004 *** |
| (0.008) | (0.004) | (0.002) | |
| Financial Leverage | −0.007 | −0.002 | −0.001 ** |
| (0.007) | (0.003) | (0.001) | |
| Firm Age | −0.177 *** | −0.02 | 0.018 ** |
| (0.045) | (0.023) | (0.016) | |
| Liquidity | 0.034 ** | 0.028 | 0.045 *** |
| 0.012 | 0.011 | 0.015 | |
| Tangibility | 0.056 * | 0.049 * | 0.063 *** |
| 0.018 | 0.017 | 0.020 | |
| 2018 | 0.010 ** | ||
| (0.002) | |||
| 2019 | 0.005 * | ||
| (0.002) | |||
| 2020 | -0.005 | ||
| (0.002) | |||
| 2021 | -0.020 *** | ||
| (0.002) | |||
| 2022 | 0.008 ** | ||
| (0.002) | |||
| Observations | 600 | 600 | 600 |
| R-square | 0.082 | . z | 0.035 |
| Granger Causality (P-Value) | 0.021 | 0.211 | 0.003 |
| Hausman Test | 0.004 | ||
| Hansen-J Test | 0.273 | ||
| Fixed Effect | Random Effect | GMM | |
|---|---|---|---|
| ROE | |||
| Intercept | 0.177 | 0.186 | 0.045 |
| (0.231) | (0.12) | (0.099) | |
| ESG Disclosure | 0.008 *** | −0.003 | 0.002 *** |
| (0.002) | (0.002) | (0.001) | |
| Firm Size | 0.132 *** | 0.02 ** | 0.005 ** |
| (0.024) | (0.01) | (0.007) | |
| Financial Leverage | −0.012 | −0.004 | −0.003 * |
| (0.024) | (0.009) | (0.002) | |
| Firm Age | 0.488 *** | −0.072 | 0.023 ** |
| (0.142) | (0.063) | (0.05) | |
| Liquidity | 0.014 ** | 0.007 * | 0.011 *** |
| (0.006) | (0.003) | (.0002) | |
| Tangibility | 0.024 *** | 0.017 ** | 0.013 ** |
| (0.008) | (0.005) | (0.004) | |
| Observations | 600 | 600 | 600 |
| R-square | 0.071 | .z | 0.057 |
| Granger Causality (P-Value) | 0.001 | 0.641 | 0.002 |
| Hausman (P-Value) | 0,000 | ||
| Hansen J-Test | 0.349 | ||
| Fixed Effect | Random Effect | GMM | |
|---|---|---|---|
| Dependent Variable | Tobin’s Q | ||
| Intercept | 1.02 *** | 0.816 *** | 0.471 *** |
| (0.119) | (0.097) | (0.069) | |
| ESG Disclosure | 0.002 ** | 0.003 ** | 0.012 *** |
| (0.001) | (0.011) | (0.001) | |
| Firm Size | 0.038 *** | 0.029 *** | 0.014 *** |
| (0.013) | (0.009) | (0.005) | |
| Financial Leverage | −0.026 ** | −0.003 | 0.022 *** |
| (0.012) | (0.008) | (0.002) | |
| Firm Age | −0.078 | 0.002 | 0.101 *** |
| (0.074) | (0.055) | (0.033) | |
| Liquidity | 0.031 ** | 0.013 ** | 0.017 *** |
| (0.008) | (0.006) | (0.003) | |
| Tangibility | 0.015 ** | 0.012 ** | 0.008 *** |
| (0.007) | (0.005) | (0.002) | |
| Observations | 600 | 600 | 600 |
| R-square | 0.046 | .z | 0.074 |
| Granger Causality (P-Value) | 0.000 | 0.004 | 0.000 |
| Hausman (P-Value) | 0.001 | ||
| Hansen J-Test | 0.393 | ||
| Dependent Variables | ROE | ROA | Tobin’s Q |
|---|---|---|---|
| Firm Size | 0.003 ** | 0.003 ** | 0.025 *** |
| S.E. | (0.008) | (0.003) | (0.006) |
| Firm Age | 0.027 ** | 0.016 * | 0.08 *** |
| S.E. | (0.051) | (0.016) | (0.027) |
| Manufacturing Dummy | 0.029 | 0.019 *** | 0.02 ** |
| S.E. | (0.019) | (0.006) | (0.016) |
| Financial Leverage | −0.002 * | −0.002 ** | −0.005 ** |
| S.E. | (0.002) | (0.001) | (0.005) |
| ESG Disclosure | 0.002 ** | 0.003 *** | 0.001 *** |
| S.E. | (0.001) | (0.002) | (0.001) |
| _cons | 0.042 | 0.034 | 0.519 *** |
| S.E. | (0.115) | (0.037) | (0.072) |
| Observations | 600 | 600 | 600 |
| R-square | 0.022 | 0.039 | 0.292 |
| Hansen J-Test | 0.386 | 0.442 | 0.403 |
| Manufacturing | Non-Manufacturing | Manufacturing | Non-Manufacturing | Manufacturing | Non-Manufacturing | |
|---|---|---|---|---|---|---|
| Variable | ROA | ROA | ROE | ROE | Tobin’s Q | Tobin’s Q |
| Firm Size | 0.009 *** | 0.003 | 0.019 *** | 0.013 | 0.032 *** | 0.007 |
| (0.002) | (0.003) | (0.007) | (0.01) | (0.008) | (0.005) | |
| Financial Leverage | 0.001 | −0.003 ** | −0.002 | −0.002 | 0.018 *** | 0.031 *** |
| (0.001) | (0.001) | (0.002) | (0.003) | (0.002) | (0.004) | |
| Firm Age | 0.012 | 0.009 | −0.02 | 0.063 | 0.061 | 0.082 * |
| (0.015) | (0.024) | (0.054) | (0.073) | (0.05) | (0.044) | |
| ESG Disclosure | −0.002 *** | 0.001 ** | −0.005 * | 0.005 *** | −0.008 *** | 0.005 *** |
| (0.001) | (0.001) | (0.003) | (0.001) | (0.002) | (0.001) | |
| Intercept | 0.148 *** | −0.005 | 0.406 *** | −0.051 | 0.953 *** | 0.298 *** |
| (0.031) | (0.047) | (0.136) | (0.128) | (0.119) | (0.075) | |
| Observations | 210 | 390 | 210 | 390 | 210 | 390 |
| R-square | 0.069 | 0.024 | 0.054 | 0.038 | 0.175 | 0.088 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).