ESG Controversies: A Quantitative and Qualitative Analysis for the Sociopolitical Determinants in EU Firms
Abstract
:1. Introduction
2. Literature Review
ESG Controversies: Practices That Clash with Peacebuilding in a Business
3. Materials and Methods
3.1. Data
3.2. Variables
3.3. Generalized Linear Models
4. Results
Descriptive Statistics
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
No | Categories | Controversy Title |
---|---|---|
1 | Community | Anti-Competition Controversy |
2 | Community | Business Ethics Controversies |
3 | Community | Intellectual Property Controversies |
4 | Community | Critical Countries Controversies |
5 | Community | Public Health Controversies |
6 | Community | Tax Fraud Controversies |
7 | Human Rights | Child Labor Controversies |
8 | Human Rights | Human Rights Controversies |
9 | Management | Management Compensation Controversies Count |
10 | Product Responsibility | Consumer Controversies |
11 | Product Responsibility | Customer Health and Safety Controversies |
12 | Product Responsibility | Privacy Controversies |
13 | Product Responsibility | Product Access Controversies |
14 | Product Responsibility | Responsible Marketing Controversies |
15 | Product Responsibility | Responsible R&D Controversies |
16 | Resource Use | Environmental Controversies |
17 | Shareholders | Accounting Controversies Account |
18 | Shareholders | Insider Dealings Controversies |
19 | Shareholders | Shareholder Rights Controversies |
20 | Workforce | Diversity and Opportunity Controversies |
21 | Workforce | Employee Health & Safety Controversies |
22 | Workforce | Wages or Working Condition Controversy |
23 | Workforce | Strikes |
Name of the Independent Variable | Explanation |
---|---|
Bribery, Corruption and Fraud Controversy Score | Describes a company’s spotlight of the media because of a controversy that is linked to bribery and corruption, political contributions, improper lobbying, money laundering, parallel imports or any tax fraud |
Corruption perception | A complex index based on a combination of corruption surveys and assessments from 13 different sources and scores and ranks countries based on how corrupt a country’s public sector is considered, with a score of 0 representing a very high level of corruption and score 100 representing a very clean country |
Gender equality | A composite indicator that measures the complex concept of gender equality, and based on the EU policy framework, assists in monitoring progress of gender equality across the EU over time. |
Internal conflict | An assessment of political violence in the country and its actual or potential impact on governance. |
Civil society participation | The measurement of civil society participation relies on three V-Dem indicators. They result from an expert survey and consider the extent to which the population is engaged in civil society activities. The three indicators on civil society participation clearly tapped into a common dimension and were aggregated into an index using BFA |
Election women in the cabinet | Refers to the proportional of women in ministerial positions |
Corruption | Measure the abuse of public office for private gain—covers a wide range of behavior, from bribery to theft of public funds. |
Free and fair election | illustrates if the national election process in national level is free and fair, taking all aspects of the pre-election period, election day and the post- election process into account |
Policy Bribery and Corruption Score | Examines if the company describes in the code of conduct that it strives to avoid bribery and corruption at all its operations. |
Access to justice for men | Examines if men enjoy secure and effective access to justice. |
Freedom of discussion for men | Examines if men are able to openly discuss political issues in private homes and in public spaces. |
Public sector corrupt exchanges | Examines how routinely public sector employees grant favors in exchange for bribes or other material inducements. |
Executive embezzlement and theft | Examines how often members of the executive (the head of state, the head of government, and cabinet ministers), or their agents, steal, embezzle or misappropriate public funds or other state resources for personal or family use. |
Absence of corruption (Global States of Democracy) | The absence of corruption sub-attribute denotes the extent to which the executive and the public administration, more broadly, do not abuse their office for personal gain. |
Access to justice for women | Describes the effective justice systems based on human rights standards, the rule of law, and democratic values are central to enabling women to become equal partners in decision-making and development and to be informed participants in their societies. |
Civil liberties | The civil liberties sub-attribute denotes the extent to which civil rights and liberties are respected. The five civil liberties sub-components are freedom of expression, freedom of association and assembly, freedom of religion, |
freedom of movement, and personal integrity and security, each of which reflects core concepts in the human rights literature. | |
Competitiveness of participation | The competitiveness of participation refers to the extent to which alternative preferences for policy and leadership can be pursued in the political arena. |
Election other voting irregularities | Examine if in this national election, was evidence of other intentional irregularities by incumbent and/or opposition parties and/or vote fraud. |
Access to clean fuels and technologies for cooking (% of population) | Access to clean fuels and technologies for cooking is the proportion of total population primarily using clean cooking fuels and technologies for cooking. Under WHO guidelines, kerosene is excluded from clean cooking fuels. |
Elections multiparty | Describes if the national election was multiparty. |
Unemployment, total (% of total labor force) | Unemployment refers to the share of the labor force that is without work but available for and seeking employment. |
Environmental Supply Chain Management Score | Examine if the company use environmental criteria ([57], energy consumption, etc.) in the selection process of its suppliers or sourcing partners. |
Individuals using the Internet (% of population) | Internet users are individuals who have used the Internet (from any location) in the last 3 months. The Internet can be used via a computer, mobile phone, personal digital assistant, games machine, digital TV etc. |
Human Rights Score | Measures the human rights score a company’s effectiveness in terms of respecting fundamental human rights conventions |
GDP growth annual | Annual percentage growth rate of GDP at market prices based on constant local currency. |
Control of Corruption: Estimate | Control of Corruption captures perceptions of the extent to which public power is exercised for private gain, including both petty and grand forms of corruption, as well as “capture” of the state by elites and private interests. |
Direct democracy | Illustrates to what extent are direct popular votes utilized. |
Election governance intimidation | Highlights if in the national election, were opposition candidates/parties/campaign workers subjected to repression, intimidation, violence or harassment by the government, the ruling party or their agents. |
Political Stability and Absence of Violence/Terrorism | Index that captures perceptions of the likelihood that the government will be destabilized or overthrown by unconstitutional or violent means, including politically motivated violence and terrorism. |
References
- Arechavaleta, C.M.R. Democratization, media and elections: Electoral reform in Mexico. Policy Soc. 2010, 29, 65–75. [Google Scholar] [CrossRef]
- Bofinger, Y.; Heyden, K.J.; Rock, B. Corporate social responsibility and market efficiency: Evidence from ESG and misvaluation measures. J. Bank. Financ. 2022, 134, 106322. [Google Scholar] [CrossRef]
- Bowler, S.; Donovan, T.; Karp, J.A. Enraged or engaged? Preferences for direct citizen participation in affluent democracies. Political Res. Q. 2007, 60, 351–362. [Google Scholar] [CrossRef]
- Bruce, R.; Cavgias, A.; Meloni, L.; Remígio, M. Under pressure: Women’s leadership during the COVID-19 crisis. J. Dev. Econ. 2022, 154, 102761. [Google Scholar] [CrossRef]
- Bruna, M.G.; Loprevite, S.; Raucci, D.; Ricca, B.; Rupo, D. Investigating the marginal impact of ESG results on corporate financial performance. Financ. Res. Lett. 2022, 47, 102828. [Google Scholar] [CrossRef]
- Champagne, C.; Coggins, F.; Sodjahin, A. Can extra-financial ratings serve as an indicator of ESG risk? Glob. Financ. J. 2021, 100638. [Google Scholar] [CrossRef]
- Chen, C.-D.; Su, C.-H.; Chen, M.-H. Understanding how ESG-focused airlines reduce the impact of the COVID-19 pandemic on stock returns. J. Air Transp. Manag. 2022, 102, 102229. [Google Scholar] [CrossRef]
- Cole, R.; Johan, S.; Schweizer, D. Corporate failures: Declines, collapses, and scandals. J. Corp. Financ. 2021, 67, 101872. [Google Scholar] [CrossRef]
- Damette, O.; Kouki, I. Political influence and banking performance: Evidence from the African countries. Q. Rev. Econ. Financ. 2022, 84, 200–207. [Google Scholar] [CrossRef]
- DasGupta, R. Financial performance shortfall, ESG controversies, and ESG performance: Evidence from firms around the world. Financ. Res. Lett. 2022, 46, 102487. [Google Scholar] [CrossRef]
- Dawson, A. The achilles heel of democracy? A macro cross-national assessment of the correlates of state legitimacy. Soc. Sci. Res. 2021, 97, 102574. [Google Scholar] [CrossRef] [PubMed]
- Escamilla-Solano, S.; Paule-Vianez, J.; Blanco-González, A. Disclosure of gender policies: Do they affect business performance? Heliyon 2022, 8, e08791. [Google Scholar] [CrossRef] [PubMed]
- European Banking Federation. Banking in Europe: EBF Facts & Figures. 2021. Available online: https://www.ebf.eu/wp-content/uploads/2022/01/FINAL-Banking-in-Europe-EBF-Facts-and-Figures-2021.-11-January-2022.pdf (accessed on 20 August 2022).
- Ferrell, O.C.; Harrison, D.E.; Ferrell, L.; Hair, J.F. Business ethics, corporate social responsibility, and brand attitudes: An exploratory study. J. Bus. Res. 2019, 95, 491–501. [Google Scholar] [CrossRef]
- Fiaschi, D.; Giuliani, E.; Nieri, F.; Salvati, N. How bad is your company? Measuring corporate wrongdoing beyond the magic of ESG metrics. Bus. Horiz. 2020, 63, 287–299. [Google Scholar] [CrossRef]
- Garcia-Blandon, J.; Argilés-Bosch, J.M.; Ravenda, D.; Castillo-Merino, D. Board gender quotas, female directors and corporate tax aggressiveness: A causal approach. Int. Rev. Financ. Anal. 2022, 79, 102010. [Google Scholar] [CrossRef]
- Gillan, S.L.; Koch, A.; Starks, L.T. Firms and social responsibility: A review of ESG and CSR research in corporate finance. J. Corp. Financ. 2021, 66, 101889. [Google Scholar] [CrossRef]
- He, F.; Qin, S.; Liu, Y.; Wu, J. CSR and Idiosyncratic Risk: Evidence from ESG information disclosure. Financ. Res. Lett. 2022, 49, 102936. [Google Scholar] [CrossRef]
- Hossain, A.T.; Hossain, T.; Kryzanowski, L. Political corruption and corporate payouts. J. Bank. Financ. 2021, 123, 106016. [Google Scholar] [CrossRef]
- Hossain, A.T.; Kryzanowski, L. Political corruption and Corporate Social Responsibility (CSR). J. Behav. Exp. Financ. 2021, 31, 100538. [Google Scholar] [CrossRef]
- Hou, J.; Reber, B.H. Dimensions of disclosures: Corporate social responsibility (CSR) reporting by media companies. Public Relat. Rev. 2011, 37, 166–168. [Google Scholar] [CrossRef]
- Ibrahim, Y.; Ismail, R.A.; Ogungbenro, A.; Pankratz, T.; Banat, F.; Arafat, H.A. The sociopolitical factors impacting the adoption and proliferation of desalination: A critical review. Desalination 2021, 498, 114798. [Google Scholar] [CrossRef]
- Idais, O. Locally optimal designs for multivariate generalized linear models. J. Multivar. Anal. 2020, 180, 104663. [Google Scholar] [CrossRef]
- Kahloul, I.; Sbai, H.; Grira, J. Does Corporate Social Responsibility reporting improve financial performance? The moderating role of board diversity and gender composition. Q. Rev. Econ. Financ. 2022, 84, 305–314. [Google Scholar] [CrossRef]
- Khan, M.A. ESG disclosure and Firm performance: A bibliometric and meta analysis. Res. Int. Bus. Financ. 2022, 61, 101668. [Google Scholar] [CrossRef]
- Kim, J.H.; Youn, H.; Phau, I. A triple whammy effect of employees’ gender, job type, and service outcomes on consumer behavior. Tour. Manag. Perspect. 2021, 40, 100878. [Google Scholar] [CrossRef]
- Koch, K.; Dippel, A.; Schumann, M. Does my Social Media Burn?—Identify Features for the Early Detection of Company-related Online Firestorms on Twitter. Online Soc. Netw. Media 2021, 25, 100151. [Google Scholar] [CrossRef]
- Konadu, R.; Ahinful, G.S.; Boakye, D.J.; Elbardan, H. Board gender diversity, environmental innovation and corporate carbon emissions. Technol. Forecast. Soc. Chang. 2022, 174, 121279. [Google Scholar] [CrossRef]
- Krishnan, C.S.N.; Ganesh, L.S.; Rajendran, C. Entrepreneurial Interventions for crisis management: Lessons from the Covid-19 Pandemic’s impact on entrepreneurial ventures. Int. J. Disaster Risk Reduc. 2022, 72, 102830. [Google Scholar] [CrossRef]
- Guggisberg, S. The roles of nongovernmental actors in improving compliance with fisheries regulations. RECIEL 2019, 28, 314–327. [Google Scholar] [CrossRef]
- Leblond, P. The political Stability and Growth Pact is dead: Long live the economic Stability and Growth Pact. J. Common Mark. Stud. 2006, 44, 969–990. [Google Scholar] [CrossRef]
- Lee, H.; Moumbark, T. Climate change, corruption, and business bribes in South Asia. Financ. Res. Lett. 2022, 47, 102685. [Google Scholar] [CrossRef]
- Li, K.; Kim, D.J.; Lang, K.R.; Kauffman, R.J.; Naldi, M. How should we understand the digital economy in Asia? Critical assessment and research agenda. Electron. Commer. Res. Appl. 2020, 44, 101004. [Google Scholar] [CrossRef] [PubMed]
- Liu, C. CEO gender and employee relations: Evidence from labor lawsuits. J. Bank. Financ. 2021, 128, 106136. [Google Scholar] [CrossRef]
- Lööf, H.; Sahamkhadam, M.; Stephan, A. Is Corporate Social Responsibility investing a free lunch? The relationship between ESG, tail risk, and upside potential of stocks before and during the COVID-19 crisis. Financ. Res. Lett. 2022, 46, 102499. [Google Scholar] [CrossRef]
- Lopatka, A. Entrepreneurial competencies of women ICT start-up. Procedia Comput. Sci. 2021, 192, 5122–5129. [Google Scholar] [CrossRef]
- Makowsky, M.D.; Wang, S. Embezzlement, whistleblowing, and organizational architecture: An experimental investigation. J. Econ. Behav. Organ. 2018, 147, 58–75. [Google Scholar] [CrossRef]
- Nerantzidis, M.; Tzeremes, P.; Koutoupis, A.; Pourgias, A. Exploring the black box: Board gender diversity and corporate social performance. Financ. Res. Lett. 2022, 48, 102987. [Google Scholar] [CrossRef]
- Neyer, U.; Stempel, D. Gender discrimination, inflation, and the business cycle. J. Macroecon. 2021, 70, 103352. [Google Scholar] [CrossRef]
- Nolan, L. The impact of executive personal branding on non-profit perception and communications. Public Relat. Rev. 2015, 41, 288–292. [Google Scholar] [CrossRef]
- Nyamrunda, F.C.; Freeman, S. Strategic agility, dynamic relational capability and trust among SMEs in transitional economies. J. World Bus. 2021, 56, 101175. [Google Scholar] [CrossRef]
- Pohlmann, M.; Bitsch, K.; Klinkhammer, J. Personal Gain or Organizational Benefits? How to Explain Active Corruption. Ger. Law J. 2016, 17, 73–99. [Google Scholar] [CrossRef]
- Prunskiene, K. The Importance of Social and Political Stability for Integration into Europe: Lithuania’s Case. In The Nebi Yearbook; Springer: Berlin/Heidelberg, Germany, 1998; pp. 47–53. [Google Scholar] [CrossRef]
- Qin, Y.; Men, L.R. Exploring negative peer communication of companies on social media and its impact on organization-public relationships. Public Relat. Rev. 2019, 45, 101795. [Google Scholar] [CrossRef]
- Ruben, D.H. Insularity effects of self-reinforcement under concurrent variable interval punishment schedules in the assessment of repeated embezzlement. In Behavioral Forensics; Academic Press: Cambridge, MA, USA, 2020; pp. 181–193. [Google Scholar] [CrossRef]
- Saad-Filho, A.; Boffo, M. The corruption of democracy: Corruption scandals, class alliances, and political authoritarianism in Brazil. Geoforum 2021, 124, 300–309. [Google Scholar] [CrossRef]
- Saha, S.; Gounder, R.; Su, J.J. The interaction effect of economic freedom and democracy on corruption: A panel cross-country analysis. Econ. Lett. 2009, 105, 173–176. [Google Scholar] [CrossRef] [Green Version]
- Shakil, M.H. Environmental, social and governance performance and financial risk: Moderating role of ESG controversies and board gender diversity. Resour. Policy 2021, 72, 102144. [Google Scholar] [CrossRef]
- Shockley, J.S. Direct Democracy, Campaign Finance, and the Courts: Can Corruption, Undue Influence, and Declining Voter Confidence Be Found. Univers. Miami Law Rev. 1984, 39, 377. Available online: https://heinonline.org/HOL/Page?handle=hein.journals/umialr39&id=389&div=&collection= (accessed on 20 August 2022).
- Sholihin, M.; Sari, R.C.; Yuniarti, N.; Ilyana, S. A new way of teaching business ethics: The evaluation of virtual reality-based learning media. Int. J. Manag. Educ. 2020, 18, 100428. [Google Scholar] [CrossRef]
- Sikka, P. Using freedom of information laws to frustrate accountability: Two case studies of UK banking frauds. Account. Forum 2017, 41, 300–317. [Google Scholar] [CrossRef] [Green Version]
- Singhania, D.M.; Saini, D.N. Systems approach to environment, social and governance (ESG): Case of Reliance industries. Sustain. Oper. Comput. 2022, 3, 103–117. [Google Scholar] [CrossRef]
- Sun, Y.; Wang, Q. An adaptive group LASSO approach for domain selection in functional generalized linear models. J. Stat. Plan. Inference 2022, 219, 13–32. [Google Scholar] [CrossRef]
- Wilson, S.; Newstead, T. The virtues of effective crisis leadership: What managers can learn from how women heads of state led in the first wave of COVID-19. Organ. Dyn. 2022, 51, 100910. [Google Scholar] [CrossRef] [PubMed]
- Witra, W.P.P.; Subriadi, A.P. Gender and information technology (IT) investment decision-making. Procedia Comput. Sci. 2021, 197, 583–590. [Google Scholar] [CrossRef]
- Zuniga, F.; Kozubowski, T.J.; Panorska, A.K. A generalized linear model for multivariate events. J. Comput. Appl. Math. 2021, 398, 113655. [Google Scholar] [CrossRef]
- ISO 14000; Family Environmental Management. ISO: Geneva, Switzerland, 1996.
Country | Number of Companies |
---|---|
Austria | 31 |
Belgium | 50 |
Cyprus | 8 |
Czech Republic | 2 |
Denmark | 60 |
Finland | 78 |
France | 150 |
Germany | 253 |
Greece | 9 |
Hungary | 2 |
Iceland | 8 |
Ireland | 49 |
Italy | 76 |
Luxembourg | 32 |
Netherlands | 69 |
Norway | 79 |
Poland | 38 |
Portugal | 13 |
Russia | 32 |
Slovenia | 1 |
Spain | 66 |
Sweden | 309 |
Switzerland | 198 |
United Kingdom | 665 |
Total | 2278 |
Variables | Observations | Mean | Median | Maximum | Minimum | Std. Dev. |
---|---|---|---|---|---|---|
BRIBCOR | 6834 | 0.45 | 0.60 | 0.63 | 0.00 | 0.27 |
CAREMIS | 6834 | 6.18 | 5.55 | 15.33 | 3.54 | 2.06 |
CIVILSOCIPART | 6834 | 0.73 | 0.72 | 0.87 | 0.40 | 0.07 |
CORRUP | 6834 | 0.79 | 0.83 | 0.92 | 0.00 | 0.15 |
CORRUPPER | 6834 | 0.42 | 0.69 | 0.88 | 0.00 | 0.40 |
ELECFREEFAIR | 6834 | 0.86 | 0.88 | 0.93 | 0.00 | 0.11 |
ELECWOMECAB | 6834 | 0.62 | 0.88 | 1.00 | 0.00 | 0.45 |
ENVSUPCHAIN | 6834 | 0.35 | 0.00 | 0.92 | 0.00 | 0.39 |
FREEDOFDISMEN | 6834 | 0.80 | 0.82 | 0.93 | 0.00 | 0.11 |
GENDEQUALI | 6834 | 0.81 | 0.83 | 0.95 | 0.00 | 0.13 |
GROWTH | 6834 | 2.23 | 2.13 | 9.03 | −0.49 | 1.10 |
INTERCONFL | 6834 | 0.71 | 0.67 | 1.00 | 0.00 | 0.21 |
MENJUSTICE | 6834 | 0.84 | 0.86 | 0.95 | 0.00 | 0.12 |
POLBRIBCOR | 6834 | 0.39 | 0.59 | 0.88 | 0.00 | 0.30 |
POLITICALSTABILITY | 6834 | 0.62 | 0.59 | 1.42 | −0.95 | 0.43 |
PUBLSECTCOR | 6834 | 0.87 | 0.95 | 1.00 | 0.00 | 0.15 |
UNEMPL | 6834 | 6.05 | 4.81 | 23.54 | 2.24 | 2.96 |
Covariance | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Probability | _1_ESG_ | ACCETOJUSMEN | BRIBCORFRACONTROV | CIVISOCPARTI | ELECTIFAIRFREE | ELECWOME | POLBRIBERFRAUD | HUMRIGHTS | EXECEMPEXTHEFT | POLITSTAB | EDUCQUALITY |
_1_ESG_CONTROVERSIES_SCORE | 0.164685 | ||||||||||
----- | |||||||||||
ACCETOJUSMEN | 0.001676 | 0.013529 | |||||||||
0.0033 | ----- | ||||||||||
BRIBCORFRACONTROV | 0.098215 | 0.000897 | 0.070353 | ||||||||
0.0000 | 0.0163 | ----- | |||||||||
CIVISOCPARTI | −0.003072 | 0.002693 | −0.001644 | 0.005333 | |||||||
0.0000 | 0.0000 | 0.0000 | ----- | ||||||||
ELECTIFAIRFREE | 0.000381 | 0.010320 | 0.000457 | 0.000353 | 0.012769 | ||||||
0.4921 | 0.0000 | 0.2080 | 0.0004 | ----- | |||||||
ELECWOME | −0.052947 | −0.000879 | −0.033099 | 0.001245 | 0.002738 | 0.199563 | |||||
0.0000 | 0.1618 | 0.0000 | 0.0016 | 0.0000 | ----- | ||||||
POLBRIBERFRAUD | 0.058480 | 0.002074 | 0.032980 | −0.002165 | −0.001013 | −0.023006 | 0.091640 | ||||
0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0144 | 0.0000 | ----- | |||||
HUMRIGHTS | 0.052223 | 0.002813 | 0.027724 | −0.002161 | 0.000381 | −0.020307 | 0.067884 | 0.128889 | |||
0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.4377 | 0.0000 | 0.0000 | ----- | ||||
EXECEMPEXTHEFT | −0.004512 | 0.012463 | −0.002655 | 0.003426 | 0.013038 | 0.020515 | −0.002799 | −0.001744 | 0.019107 | ||
0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0037 | ----- | |||
POLITSTAB | −0.022416 | 0.007638 | −0.013054 | 0.017964 | −0.005267 | 0.026467 | −0.009158 | −0.014670 | 0.015853 | 0.188402 | |
0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | ----- | ||
EDUCQUALITY | −0.042008 | −0.004469 | −0.026350 | 0.001578 | −0.002426 | 0.166837 | −0.018180 | −0.017110 | 0.012592 | 0.027131 | 0.146705 |
0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | ----- |
Variable | Coefficient | z-Statistic | |
---|---|---|---|
ACCETOJUSMEN | 1.40 ** (0.03) | 2.157874 | |
BRIBCORFRACONTROV | 8.63 *** (0.00) | 58.14640 | |
CIVISOCPARTI | −3.13 *** (0.00) | −8.205772 | |
ELECTIFAIRFREE | −4.69 *** (0.00) | −5.620151 | |
ELECWOME | −1.7 *** (0.00) | −4.438313 | |
POLBRIBERFRAUD | 2.04 *** (0.00) | 10.90866 | |
HUMRIGHTS | 0.53 *** (0.00) | 3.312214 | |
EXECEMPEXTHEFT | 3.63 *** (0.00) | 4.345535 | |
POLITSTAB | −0.33 ** (0.01) | −2.534510 | |
EDUCQUALITY | 1.23 *** (0.00) | 2.845749 | |
Root MSE | 0.143648 | ||
Log likelihood | −738,043.6 | Akaike info criterion | 215.9946 |
Schwarz criterion | 216.0046 | Hannan-Quinn criterion. | 215.9981 |
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Passas, I.; Ragazou, K.; Zafeiriou, E.; Garefalakis, A.; Zopounidis, C. ESG Controversies: A Quantitative and Qualitative Analysis for the Sociopolitical Determinants in EU Firms. Sustainability 2022, 14, 12879. https://doi.org/10.3390/su141912879
Passas I, Ragazou K, Zafeiriou E, Garefalakis A, Zopounidis C. ESG Controversies: A Quantitative and Qualitative Analysis for the Sociopolitical Determinants in EU Firms. Sustainability. 2022; 14(19):12879. https://doi.org/10.3390/su141912879
Chicago/Turabian StylePassas, Ioannis, Konstantina Ragazou, Eleni Zafeiriou, Alexandros Garefalakis, and Constantin Zopounidis. 2022. "ESG Controversies: A Quantitative and Qualitative Analysis for the Sociopolitical Determinants in EU Firms" Sustainability 14, no. 19: 12879. https://doi.org/10.3390/su141912879
APA StylePassas, I., Ragazou, K., Zafeiriou, E., Garefalakis, A., & Zopounidis, C. (2022). ESG Controversies: A Quantitative and Qualitative Analysis for the Sociopolitical Determinants in EU Firms. Sustainability, 14(19), 12879. https://doi.org/10.3390/su141912879