Examining the Impact of Environmental, Social, and Corporate Governance Factors on Long-Term Financial Stability of the European Financial Institutions: Dynamic Panel Data Models with Fixed Effects
Abstract
:1. Introduction
2. ESG: A Call to Action for European Financial Institutions to Attain Financial Stability
3. Results
4. Materials and Methods
4.1. Data and Sample
4.2. Variable Measurements
4.3. Construction of the Empirical Model
4.4. Method and Model Robustness
5. Discussion
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
Country | Number of Companies |
---|---|
United Kingdom | 130 |
Switzerland | 36 |
Germany | 26 |
Italy | 23 |
Sweden | 22 |
France | 13 |
Norway | 12 |
Poland | 12 |
Denmark | 11 |
Spain | 9 |
The Netherlands | 8 |
Belgium | 6 |
Greece | 6 |
Russia | 6 |
Austria | 5 |
Finland | 5 |
Ireland | 4 |
Cyprus | 2 |
Czech Republic | 2 |
Lithuania | 2 |
Luxembourg | 2 |
Portugal | 2 |
Romania | 2 |
Slovakia | 2 |
Hungary | 1 |
Iceland | 1 |
Malta | 1 |
Slovenia | 1 |
Total | 352 |
Type of Variable | Name of Variable (Acronym) | Measurement |
---|---|---|
Dependent | Earning Stability (EARN_STAB) | Earning stability refers to the extent to which earnings have been consistently generated over a given period of time. Industries characterized by a more predictable development pattern tend to have stable profit growth (Kałdoński et al., 2020). |
Independents | Target Emissions (EMISSIONS) | This variable pertains to whether the organization has established specific aims or objectives with regards to reducing emissions. |
Policy Emissions (POLICY_EMISSIONS) | This variable pertains to whether the firm has implemented a policy aimed at enhancing the reduction in emissions. | |
ESG Score (ESG) | The comprehensive evaluation of a company’s performance, derived from the self-disclosed data pertaining to the environmental, social, and corporate governance dimensions. | |
CSR Strategy Score (CSR) | The communication of a company’s integration of the economic (financial), social, and environmental components into its day-to-day decision-making processes is indicative of its practices. | |
Environmental Innovation Score (ENVIRONMENTAL_INNOVATION) | This variable highlights the ability of a corporation to mitigate environmental costs and burdens for its consumers, resulting in the emergence of fresh market prospects facilitated by the use of novel environmental technologies, processes, or eco-designed goods. | |
Emission Score (CO2_EMISSION) | The metric evaluates the level of dedication and efficiency exhibited by a corporation in mitigating environmental emissions during its manufacturing and operational activities. | |
Environmental Pillar Score (ENVIRONMENTAL_PILLAR) | The metric assesses the influence of an organization on both biotic and abiotic components of natural systems, including atmospheric, terrestrial, and aquatic domains, as well as entire ecological networks. | |
Governance Pillar Score (GOVERNANCE_PILLAR) | This variable assesses the efficacy of a company’s systems and procedures in promoting the fiduciary duty of its board members and executives towards the long-term shareholders’ best interests. | |
Social Pillar Score (SOCIAL_PILLAR) | This metric assesses an organization’s ability to cultivate trust and loyalty among its employees, customers, and society by implementing optimal management strategies. | |
Corporate Responsibility Award Score (RESPONIBILITY) | This metric describes if a company has received an award for its social, ethical, community, or environmental activities or performance. | |
ESG Controversy Score (ESG_CONTROVERSIES) | This metric measures a corporation’s susceptibility to environmental, social, and governance problems and adverse occurrences as portrayed in worldwide media. | |
Human Rights Score (HUMAN_RIGHTS) | This variable measures a company’s effectiveness towards respecting the fundamental human rights conventions. | |
Green Building Score (GREEN BUILDINGS) | This variable describes if the company reports about environmentally friendly or green sites or offices. | |
Workforce Score (WORKFORCE) | This variable assesses a company’s efficacy in promoting job happiness, fostering a healthy and safe work environment, upholding diversity and equal chances, and providing growth prospects for its employees. | |
Community Score (COMMUNITY) | This variable measures the company’s commitment towards being a good citizen, protecting public health and respecting business ethics. | |
e-Waste Reduction Score (E_WASTE) | This metric presents if the company reports on initiatives to recycle, reduce, reuse, substitute, treat, or phase out e-waste. | |
Whistleblower Protection Score (WHISTLEBLOWER) | This metric refers to the ability of the company to have a provision or comply with regulations protecting whistleblowers. | |
Bribery, Corruption, and Fraud Controversy Score (CONTROVERSIES) | This metric describes if the company is linked under the spotlight of the media because of a controversy with bribery and corruption phenomena, political contributions, improper lobbying, money laundering, parallel imports, or any tax fraud. | |
Policy Business Ethics Score (ETHICS) | This metric strives to maintain the highest level of general business ethics in the code of conduct. | |
Company Market Capitalization (CAPITALIZATION) | This metric represents the sum of market value for all relevant instrumentlevel share types. |
ESG | CSR | Env_Innov | Emissions | Env_Pil | Gover_Pil | Soci_Pillar | Respon | ESG_Contr | Human_Righ | Green_Build | Work | Commun | Policy_Emis | e_Waste | Whistle | Controv | Ethics | CO2_Emission | Capitaliz | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ESG | 1 | 0.79 | 0.68 | 0.82 | 0.83 | 0.9 | 0.93 | 0.56 | 0.25 | 0.73 | 0.52 | 0.88 | 0.77 | 0.68 | 0.36 | 0.62 | 0.15 | 0.64 | 0.23 | 0.23 |
CSR | 0.79 | 1 | 0.56 | 0.75 | 0.72 | 0.73 | 0.71 | 0.51 | 0.11 | 0.65 | 0.45 | 0.69 | 0.55 | 0.62 | 0.31 | 0.51 | 0.03 | 0.56 | 0.14 | 0.19 |
Env_Innov | 0.68 | 0.56 | 1 | 0.6 | 0.91 | 0.45 | 0.65 | 0.48 | 0.03 | 0.52 | 0.44 | 0.56 | 0.61 | 0.43 | 0.23 | 0.42 | −0.05 | 0.4 | 0.18 | 0.16 |
Emissions | 0.82 | 0.75 | 0.6 | 1 | 0.83 | 0.65 | 0.79 | 0.51 | 0.16 | 0.65 | 0.52 | 0.77 | 0.62 | 0.8 | 0.44 | 0.54 | 0.07 | 0.54 | 0.18 | 0.18 |
Env_Pil | 0.83 | 0.72 | 0.91 | 0.83 | 1 | 0.61 | 0.79 | 0.56 | 0.07 | 0.66 | 0.55 | 0.71 | 0.69 | 0.64 | 0.34 | 0.55 | −0.02 | 0.55 | 0.21 | 0.21 |
Gover_Pil | 0.9 | 0.73 | 0.45 | 0.65 | 0.61 | 1 | 0.71 | 0.44 | 0.26 | 0.57 | 0.43 | 0.71 | 0.55 | 0.57 | 0.25 | 0.5 | 0.17 | 0.54 | 0.17 | 0.21 |
Soci_Pillar | 0.93 | 0.71 | 0.65 | 0.79 | 0.79 | 0.71 | 1 | 0.55 | 0.27 | 0.76 | 0.47 | 0.9 | 0.87 | 0.65 | 0.37 | 0.62 | 0.17 | 0.65 | 0.23 | 0.23 |
Respon | 0.56 | 0.51 | 0.48 | 0.51 | 0.56 | 0.44 | 0.55 | 1 | −0.03 | 0.42 | 0.44 | 0.46 | 0.55 | 0.39 | 0.32 | 0.41 | −0.08 | 0.4 | 0.26 | 0.14 |
ESG_Contr | 0.25 | 0.11 | 0.03 | 0.16 | 0.07 | 0.26 | 0.27 | −0.03 | 1 | 0.08 | 0.01 | 0.34 | 0.18 | 0.19 | 0.06 | 0.08 | 0.88 | 0.11 | −0.08 | −0.07 |
Human_Righ | 0.73 | 0.65 | 0.52 | 0.65 | 0.66 | 0.57 | 0.76 | 0.42 | 0.08 | 1 | 0.39 | 0.63 | 0.56 | 0.52 | 0.32 | 0.49 | 0.01 | 0.5 | 0.19 | 0.17 |
Green_Build | 0.52 | 0.45 | 0.44 | 0.52 | 0.55 | 0.43 | 0.47 | 0.44 | 0.01 | 0.39 | 1 | 0.45 | 0.41 | 0.38 | 0.31 | 0.38 | −0.05 | 0.4 | 0.15 | 0.16 |
Work | 0.88 | 0.69 | 0.56 | 0.77 | 0.71 | 0.71 | 0.9 | 0.46 | 0.34 | 0.63 | 0.45 | 1 | 0.68 | 0.66 | 0.38 | 0.53 | 0.23 | 0.57 | 0.17 | 0.18 |
Commun | 0.77 | 0.55 | 0.61 | 0.62 | 0.69 | 0.55 | 0.87 | 0.55 | 0.18 | 0.56 | 0.41 | 0.68 | 1 | 0.5 | 0.26 | 0.61 | 0.11 | 0.63 | 0.25 | 0.24 |
Policy_Emis | 0.68 | 0.62 | 0.43 | 0.8 | 0.64 | 0.57 | 0.65 | 0.39 | 0.19 | 0.52 | 0.38 | 0.66 | 0.5 | 1 | 0.28 | 0.46 | 0.11 | 0.47 | 0.11 | 0.15 |
e_Waste | 0.36 | 0.31 | 0.23 | 0.44 | 0.34 | 0.25 | 0.37 | 0.32 | 0.06 | 0.32 | 0.31 | 0.38 | 0.26 | 0.28 | 1 | 0.28 | −0.04 | 0.3 | 0.18 | 0.07 |
Whistle | 0.62 | 0.51 | 0.42 | 0.54 | 0.55 | 0.5 | 0.62 | 0.41 | 0.08 | 0.49 | 0.38 | 0.53 | 0.61 | 0.46 | 0.28 | 1 | 0.04 | 0.61 | 0.18 | 0.23 |
Controv | 0.15 | 0.03 | −0.05 | 0.07 | −0.02 | 0.17 | 0.17 | −0.08 | 0.88 | 0.01 | −0.05 | 0.23 | 0.11 | 0.11 | −0.04 | 0.04 | 1 | 0.06 | −0.11 | −0.09 |
Ethics | 0.64 | 0.56 | 0.4 | 0.54 | 0.55 | 0.54 | 0.65 | 0.4 | 0.11 | 0.5 | 0.4 | 0.57 | 0.63 | 0.47 | 0.3 | 0.61 | 0.06 | 1 | 0.17 | 0.2 |
CO2_Emission | 0.23 | 0.14 | 0.18 | 0.18 | 0.21 | 0.17 | 0.23 | 0.26 | −0.08 | 0.19 | 0.15 | 0.17 | 0.25 | 0.11 | 0.18 | 0.18 | −0.11 | 0.17 | 1 | 0.15 |
Capitaliz | 0.23 | 0.19 | 0.16 | 0.18 | 0.21 | 0.21 | 0.23 | 0.14 | −0.07 | 0.17 | 0.16 | 0.18 | 0.24 | 0.15 | 0.07 | 0.23 | −0.09 | 0.2 | 0.15 | 1 |
########################################################################## # Table A1 # Panel stationarity test by Levin–Lin–Chu d04<-d03[,setdiff(colnames(d03), 'Countries')] d04p<-pdata.frame(d04, index = c("Companies", "year")) # purtest(d04p$Earnings, pmax = 4, exo = "none", test = "levinlin") ########################################################################## |
# because the random.method='"swar' is not applicable, so 'amemiya' is used | |||||
random01 <- plm(form03,data = d04, model = "random", effect = "twoways",random.method='amemiya') summary(random01) | |||||
## Twoways effects Random Effect Model | |||||
## (Amemiya’s transformation) | |||||
## | |||||
## Call: | |||||
## plm(formula = form03, data = d04, effect = "twoways", model = "random", ## random.method = "amemiya") | |||||
## | |||||
## Balanced Panel: n = 352, T = 4, N = 1408 ## | |||||
## Effects: | |||||
## var std.dev share | |||||
## idiosyncratic | 4.1580 | 2.0391 | 0.103 | ||
## individual | 35.9908 | 5.9992 | 0.891 | ||
## time | 0.2650 | 0.5148 | 0.007 | ||
## theta: 0.8325 (id) 0.7934 (time) 0.7571 (total) ## | |||||
## Residuals: | |||||
## Min. 1st Qu. Median 3rd Qu. Max. | |||||
## -14.91016 | -0.61678 | -0.29794 | 0.24946 | 21.78942 | |
## | |||||
## Coefficients: | |||||
## Estimate Std. Error z-value Pr(>|z|) | |||||
## (Intercept) | 2.5236 | 4.9769 | 5.0706 | 3.965 | *** |
## ESG | -1.2480 | 9.2869 | -1.3438 | 0.17901 | |
## Environmental_Innovation | -6.6081 | 5.0280 | -1.3143 | 0.18876 | |
## Responsibility | 1.0293 | 3.3602 | 3.0631 | 0.00219 | ** |
## ESG_Controversies | -3.4225e-04 | 2.6881 | -0.1273 | 0.89869 | |
## Green_Buildings | 1.1332 | 3.6605 | 0.0310 | 0.97530 | |
## e_Waste | 4.5485 | 3.3121 | 1.3733 | 0.16966 | |
## Whistleblower | 1.6363 | 4.3898 | 0.3728 | 0.70933 | |
## Ethics | 1.0178 | 5.3281 | 1.9102 | 0.05611 . | |
## CO2_Emission | -1.6138 | 1.1431 | -0.1412 | 0.88773 | |
## --- | |||||
## Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 | ‘.’ 0.1 | ‘ ’ 1 | |||
## | |||||
## Total Sum of Squares: 5935.2 | |||||
## Residual Sum of Squares: 5853.8 | |||||
## R-Squared: 0.013711 | |||||
## Adj. R-Squared: 0.0073618 | |||||
## Chisq: 19.4349 on 9 DF, p-value: 0.021739 |
References
- Alatawi, F. M. H., Alomar, J. A., & Balakrishnan, J. (2024). Fostering long-term commitment in the sharing economy: Strategies formulated through mixed methods research design. Technological Forecasting and Social Change, 201, 123231. [Google Scholar] [CrossRef]
- Andrey, E. (2023). ESG as an innovative tool to improve the efficiency and financial stability of financial organizations. Procedia Computer Science, 221, 705–709. [Google Scholar] [CrossRef]
- Asif, M., Searcy, C., & Castka, P. (2023). ESG and industry 5.0: The role of technologies in enhancing ESG disclosure. Technological Forecasting and Social Change, 195, 122806. [Google Scholar] [CrossRef]
- Attig, N., El Ghoul, S., Guedhami, O., & Suh, J. (2013). Corporate social responsibility and credit ratings. Journal of Business Ethics, 117(4), 679–694. [Google Scholar] [CrossRef]
- Caldeira dos Santos, M., & Pereira, F. H. (2022). ESG performance scoring method to support responsible investments in port operations. Case Studies on Transport Policy, 10(1), 664–673. [Google Scholar] [CrossRef]
- Cheng, L. T. W., Lee, S. K., Li, S. K., & Tsang, C. K. (2023). Understanding resource deployment efficiency for ESG and financial performance: A DEA approach. Research in International Business and Finance, 65, 101941. [Google Scholar] [CrossRef]
- DasGupta, R. (2022). Financial performance shortfall, ESG controversies, and ESG performance: Evidence from firms around the world. Finance Research Letters, 46, 102487. [Google Scholar] [CrossRef]
- Dinh, J. M., Isaak, A. J., & Wehner, M. C. (2024). Sustainability-oriented crowdfunding: An integrative literature review. Journal of Cleaner Production, 448, 141579. [Google Scholar] [CrossRef]
- Erhemjamts, O., Huang, K., & Tehranian, H. (2024). Climate risk, ESG performance, and ESG sentiment in US commercial banks. Global Finance Journal, 59, 100924. [Google Scholar] [CrossRef]
- Friede, G., Busch, T., & Bassen, A. (2015). ESG and financial performance: Aggregated evidence from more than 2000 empirical studies. Journal of Sustainable Finance and Investment, 5(4), 210–233. [Google Scholar] [CrossRef]
- Garcia, A. S., Mendes-Da-Silva, W., & Orsato, R. (2017). Sensitive industries produce better ESG performance: Evidence from emerging markets. Journal of Cleaner Production, 150, 135–147. [Google Scholar] [CrossRef]
- Hansen, H. O. (2024). Megatrends in agriculture, food industry and food markets. Palgrave Advances in Bioeconomy: Economics and Policies. Springer Nature. [Google Scholar] [CrossRef]
- Henisz, W. J., & McGlinch, J. (2019). ESG, material credit events, and credit risk. Journal of Applied Corporate Finance, 31(2), 105–117. [Google Scholar] [CrossRef]
- Ignatov, K. (2023). When ESG talks: ESG tone of 10-K reports and its significance to stock markets. International Review of Financial Analysis, 89, 102745. [Google Scholar] [CrossRef]
- Jang, G. Y., Kang, H. G., & Kim, W. (2022). Corporate executives’ incentives and ESG performance. Finance Research Letters, 49, 103187. [Google Scholar] [CrossRef]
- Jum’a, L., Zimon, D., & Ikram, M. (2021). A Relationship between supply chain practices, environmental sustainability and financial performance: Evidence from manufacturing companies in Jordan. Sustainability, 13(4), 2152. [Google Scholar] [CrossRef]
- Kałdoński, M., Jewartowski, T., & Mizerka, J. (2020). Capital market pressure, real earnings management, and institutional ownership stability—Evidence from Poland. International Review of Financial Analysis, 71, 101315. [Google Scholar] [CrossRef]
- Kopnina, H., & Bedford, T. (2024). From pseudo to real sustainability: Ecopedagogy in business and management education. In The palgrave handbook of global social change (pp. 1–15). Springer Nature. [Google Scholar] [CrossRef]
- Ling, A., Li, J., Wen, L., & Zhang, Y. (2023). When trackers are aware of ESG: Do ESG ratings matter to tracking error portfolio performance? Economic Modelling, 125, 106346. [Google Scholar] [CrossRef]
- Lins, K. V., Servaes, H., & Tamayo, A. (2017). Social capital, trust, and firm performance: The value of corporate social responsibility during the financial crisis. Journal of Finance, 72(4), 1785–1824. [Google Scholar] [CrossRef]
- Mion, G., Adaui, C. R. L., Bonfanti, A., & De Crescenzo, V. (2023). Mission statements and financial and sustainability performance: An exploratory study of benefit corporations certified as B corps. Journal of Business Research, 157, 113585. [Google Scholar] [CrossRef]
- Mökander, J., Morley, J., Taddeo, M., & Floridi, L. (2021). Ethics-based auditing of automated decision-making systems: Nature, scope, and limitations. Science and Engineering Ethics, 27(4), 44. [Google Scholar] [CrossRef]
- Oh, H. J., Lee, B., Ma, H. H., Jang, D., & Park, S. (2024). A preliminary study for developing perceived ESG scale to measure public perception toward organizations’ ESG performance. Public Relations Review, 50(1), 102398. [Google Scholar] [CrossRef]
- Ozdemir, O., Erkmen, E., & Han, W. (2023). EPU and financial performance in the hospitality and tourism industry: Moderating effect of CSR, institutional ownership and cash holding. Tourism Management, 98, 104769. [Google Scholar] [CrossRef]
- Peng, Y., Chen, H., & Li, T. (2023). The impact of digital transformation on ESG: A case study of Chinese-listed companies. Sustainability, 15(20), 15072. [Google Scholar] [CrossRef]
- Qin, L., Feng, Y., Wang, R., & Wang, Y. (2024). Impact of the national ecological civilization construction demonstration zone on corporate ESG: Evidence from China. Ecological Indicators, 166, 112463. [Google Scholar] [CrossRef]
- Ragazou, K. (2021). Home-based telecommuting in the context of COVID-19: The challenges of Greek teleworkers. Journal of Business and Social Science Review, 2(1), 119–125. [Google Scholar]
- Ragazou, K., & Sklavos, G. (2021, October 14–15). Circular economy as a footpath for regional development in European Union. International Virtual Conference on Social Sciences, Virtual. [Google Scholar] [CrossRef]
- Rahmawati, A., Wahyuningsih, S. H., & Garad, A. (2023). The effect of financial literacy, training and locus of control on creative economic business performance. Social Sciences and Humanities Open, 8, 100721. [Google Scholar] [CrossRef]
- Ramírez-Orellana, A., Martínez-Victoria, M. C. C., García-Amate, A., & Rojo-Ramírez, A. A. (2023). Is the corporate financial strategy in the oil and gas sector affected by ESG dimensions? Resources Policy, 81, 103303. [Google Scholar] [CrossRef]
- Salvi, A., Nirino, N., Enrico, B., & Igor, G. (2024). Payout policy and ESG: A european investigation. Research in International Business and Finance, 68, 102189. [Google Scholar] [CrossRef]
- Schaltegger, S., Lüdeke-Freund, F., & Hansen, E. G. (2012). Business cases for sustainability: The role of business model innovation for corporate sustainability. International Journal of Innovation and Sustainable Development, 6(2), 95–119. Available online: https://EconPapers.repec.org/RePEc:ids:ijisde:v:6:y:2012:i:2:p:95-119 (accessed on 21 August 2024). [CrossRef]
- Song, F., & Thakor, A. (2022). Ethics, capital and talent competition in banking. Journal of Financial Intermediation, 52, 100963. [Google Scholar] [CrossRef]
- Sreenivasan, A., & Suresh, M. (2024). Sustainability-controlled measures for resilient management of fresh and short food startups supply chain. Sustainable Manufacturing and Service Economics, 3, 100024. [Google Scholar] [CrossRef]
- Wu, Z., Gao, J., Luo, C., Xu, H., & Shi, G. (2024). How does boardroom diversity influence the relationship between ESG and firm financial performance? International Review of Economics and Finance, 89, 713–730. [Google Scholar] [CrossRef]
- Yang, C., Zhu, C., & Albitar, K. (2024a). ESG ratings and green innovation: A u-shaped journey towards sustainable development. Business Strategy and the Environment, 33(5), 4108–4129. [Google Scholar] [CrossRef]
- Yang, R., Wu, J., Yang, C., & Albitar, K. (2024b). Far-sighted through mitigating risk: Directors and officers liability insurance and corporate ESG performance. International Review of Financial Analysis, 96, 103719. [Google Scholar] [CrossRef]
- Zhao, X., & Cai, L. (2023). Digital transformation and corporate ESG: Evidence from China. Finance Research Letters, 58, 104310. [Google Scholar] [CrossRef]
- Zournatzidou, G., & Floros, C. (2023). Hurst exponent analysis: Evidence from volatility indices and the volatility of volatility indices. Journal of Risk and Financial Management, 16(5), 272. [Google Scholar] [CrossRef]
- Zournatzidou, G., Sklavos, G., Ragazou, K., & Sariannidis, N. (2024). Anti-competition and anti-corruption controversies in the european financial sector: Examining the anti-ESG factors with entropy weight and TOPSIS methods. Journal of Risk and Financial Management, 17(11), 492. [Google Scholar] [CrossRef]
Variable | Min | 1st Qu | Median | Mean | 3rd Qu | Max |
---|---|---|---|---|---|---|
ESG | 0.00 | 27.94 | 48.50 | 45.97 | 66.70 | 95.49 |
ENVIRONMENTAL_INNOVATION | 0.00 | 0.00 | 19.09 | 32.27 | 67.43 | 99.52 |
CO2_EMISSION | 244.6 | 139.9 | 1406.1 | 27,507.9 | 10,296.2 | 2,640,090.0 |
RESPONSIBILITY | 0.00 | 0.00 | 0.00 | 21.40 | 81.09 | 91.94 |
ESG_CONTROVERSIES | 0.00 | 85.96 | 100.00 | 81.44 | 100.00 | 100.00 |
GREEN_BUILDINGS | 0.00 | 0.00 | 0.00 | 23.80 | 80.17 | 90.74 |
E_WASTE | 0.00 | 0.00 | 0.00 | 21.14 | 0.00 | 90.38 |
WHISTLEBLOWER | 0.00 | 0.00 | 0.00 | 29.61 | 64.71 | 79.87 |
ETHICS | 0.00 | 0.00 | 58.09 | 32.47 | 62.46 | 69.66 |
EARNINGS (Constant) | 1.51 | 0.00 | 0.33 | 2.40 | 1.75 | 66.15 |
Estimate | Std. | Error | z-Value | Pr(>|z|) |
---|---|---|---|---|
(Intercept) | 25.236 | 0.498 | 50.706 | 0.000 *** |
ESG | −0.012 | 0.009 | −13.438 | 0.179 |
ENVIRONMENTAL_INNOVATION | −0.007 | 0.005 | −13.143 | 0.189 |
RESPONSIBILITY | 0.010 | 0.003 | 30.631 | 0.002 ** |
ESG_CONTROVERSIES | −0.000 | 0.003 | −0.127 | 0.899 |
GREEN_BUILDINGS | 0.000 | 0.004 | 0.031 | 0.975 |
E_WASTE | 0.004 | 0.003 | 13.733 | 0.170 |
WHISTLEBLOWER | 0.002 | 0.004 | 0.373 | 0.709 |
ETHICS | 0.010 | 0.005 | 19.102 | 0.050 |
CO2_EMISSION | −1.600 | 0.000 | −0.141 | 0.888 |
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Zournatzidou, G.; Ragazou, K.; Sklavos, G.; Sariannidis, N. Examining the Impact of Environmental, Social, and Corporate Governance Factors on Long-Term Financial Stability of the European Financial Institutions: Dynamic Panel Data Models with Fixed Effects. Int. J. Financial Stud. 2025, 13, 3. https://doi.org/10.3390/ijfs13010003
Zournatzidou G, Ragazou K, Sklavos G, Sariannidis N. Examining the Impact of Environmental, Social, and Corporate Governance Factors on Long-Term Financial Stability of the European Financial Institutions: Dynamic Panel Data Models with Fixed Effects. International Journal of Financial Studies. 2025; 13(1):3. https://doi.org/10.3390/ijfs13010003
Chicago/Turabian StyleZournatzidou, Georgia, Konstantina Ragazou, George Sklavos, and Nikolaos Sariannidis. 2025. "Examining the Impact of Environmental, Social, and Corporate Governance Factors on Long-Term Financial Stability of the European Financial Institutions: Dynamic Panel Data Models with Fixed Effects" International Journal of Financial Studies 13, no. 1: 3. https://doi.org/10.3390/ijfs13010003
APA StyleZournatzidou, G., Ragazou, K., Sklavos, G., & Sariannidis, N. (2025). Examining the Impact of Environmental, Social, and Corporate Governance Factors on Long-Term Financial Stability of the European Financial Institutions: Dynamic Panel Data Models with Fixed Effects. International Journal of Financial Studies, 13(1), 3. https://doi.org/10.3390/ijfs13010003