Version 1
: Received: 14 March 2023 / Approved: 15 March 2023 / Online: 15 March 2023 (08:49:24 CET)
How to cite:
Costantiello, A.; Leogrande, A. The Regulatory Quality and ESG Model at World Level. Preprints2023, 2023030273. https://doi.org/10.20944/preprints202303.0273.v1
Costantiello, A.; Leogrande, A. The Regulatory Quality and ESG Model at World Level. Preprints 2023, 2023030273. https://doi.org/10.20944/preprints202303.0273.v1
Costantiello, A.; Leogrande, A. The Regulatory Quality and ESG Model at World Level. Preprints2023, 2023030273. https://doi.org/10.20944/preprints202303.0273.v1
APA Style
Costantiello, A., & Leogrande, A. (2023). The Regulatory Quality and ESG Model at World Level. Preprints. https://doi.org/10.20944/preprints202303.0273.v1
Chicago/Turabian Style
Costantiello, A. and Angelo Leogrande. 2023 "The Regulatory Quality and ESG Model at World Level" Preprints. https://doi.org/10.20944/preprints202303.0273.v1
Abstract
In this article, we analyse the determinants of Regulatory Quality-RQ for 193 countries in the period 2011-2020. We use a database from ESG-Environment Social Governance of the World Bank. We apply OLS, Panel Data with Fixed Effects and Panel Data with Random Effects. We found that the variables that have the most positive impact on RQ, among others, are “GHG Net Emission”, “Mean Drought Index”, and “Heat Index”. We also found that the variables that have the most negative impact on RQ are among others “Renewable Energy Consumption”, “Voice and Accountability” and “Rule of Law”. Furthermore, we have applied the k-Means algorithm optimized with the Elbow Method and we find the presence of five clusters. In adjunct, we confront eight machine learning algorithms to predict the value of RQ and we found that the best predictor is Polynomial Regression. The predictive level of RQ for the analysed countries is expected to diminish of -1,29%. In the end, we present a network analysis with the Euclidean distance and we found the presence of a structure of seven networks using augmented data.
Keywords
Analysis of Collective Decision-Making; General; Political Processes: Rent-Seeking; Lobbying; Elections; Legislatures; and Voting Behaviour; Bureaucracy; Administrative Processes in Public Organizations; Corruption; Positive Analysis of Policy Formulation; Implementation
Subject
Business, Economics and Management, Economics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
