The Role of Political Stability in the Context of ESG Models at World Level

Costantiello, Alberto; Leogrande, Angelo

doi:10.2139/ssrn.4406997

Cited by 4 publications

(4 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Unemployment negatively affects GDP growth in the context of the ESG model at world level [5]. Unemployment is negatively associated to the value of political stability within the context of ESG model at world level [6]. Unemployment Rate is positively associated to ESG disclosure practices at country level in a set of 14.174 firms in the period 2005-2012 [7].…”

Section: Unemployment and Esg Modelmentioning

confidence: 99%

The Role of Unemployment in the ESG Model at World Level

Leogrande¹,

Leogrande

Costantiello³

2023

Preprint

Self Cite

View full text Add to dashboard Cite

In this article, we investigate the role of Unemployment-U in the context of Environmental, Social and Governance-ESG model at World Level. We use data from 193 countries in the period 2011-2021. We apply Panel Data with Random Effects, Panel Data with Fixed Effects, Pooled Ordinary Least Squares-OLS, and Weighted Least Squares-WLS. We found that among other the level of U is positively associated, among others, to “GHG Net Emissions” and “Government Effectiveness”, and negatively associated among others, to “Maximum 5 Day Rainfall” and “Political Stability and Absence of Violence/Terrorism”. Furthermore, we confront eight different machine-learning algorithms to predict the future value of U. We found that the best predictive algorithm in terms of maximization of R-squared and minimization of MAE, MSE, and RMSE is the Linear Regression. The value of U is expected to growth of 1.51% on average for the analysed countries. JEL Codes: D7, D70, D72, D73, D78.

show abstract

Section: Unemployment and Esg Modelmentioning

confidence: 99%

The Role of Unemployment in the ESG Model at World Level

Leogrande¹,

Leogrande

Costantiello³

2023

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…To further deepen the analysis of this variable, further research should be conducted aimed at highlighting the role of the legal institutions as suggested by the approach of the Legal Origin Theory-LOT. In 1528-2635-28-2-001 Citation Information: Costantiello, A. & Leogrande, A.,(2024).…”

Section: Further Researchmentioning

confidence: 99%

“…, A. &Leogrande, A.,(2024). The role of political stability in the context of esg models at world level.…”

mentioning

confidence: 99%

The Role of Political Stability in the Context of Esg Models at World Level

Costantiello,

Leogrande

2024

Preprint

View full text Add to dashboard Cite

In this article, we estimate the role of Political Stability and Absence of Violence and Terrorism-PS in the context of Environmental, Social and Governance-ESG data at world level. We analyse data from 193 countries in the period 2011-2020. We apply Panel Data with Fixed Effects, Panel Data with Random Effects and Pooled Ordinary Least Square-OLS. We found that PS is positively associated, among others, to Population Density and Government Effectiveness, and negatively associated, among others, to Research and Development Expenditure and Maximum 5-day Rainfall. Furthermore, we apply the k-Means algorithm optimized with the application of the Elbow Method and we find the presence of four clusters. Finally, we propose a confrontation among eight different machine-learning algorithms for the prediction of PS and we find that the Polynomial Regression shows the higher performance. The Polynomial Regression predicts an increase in the level of PS of 0.25% on average for the analysed countries.

show abstract

“…Email: costantiello@lum.it. Strada Statale 100 km 18, Casamassima, Bari, Puglia, Italia 2. Professor of Economics at LUM University Giuseppe Degennaro and Researcher at LUM Enterprise s.r.l.…”

mentioning

confidence: 99%

The Determinants of CO2 Emissions in the Context of ESG Models at World Level

Costantiello¹,

Leogrande²

2023

Preprint

View full text Add to dashboard Cite

We estimate the determinants of CO2 Emissions-COE in the context of Environmental, Social and Governance-ESG model at world level. We use data of the World Bank for 193 countries in the period 2011-2020. We found that the level of COE is positively associated, among others to “Methane Emissions”, “Research and Development Expenditures”, and negatively associated among others to “Renewable Energy Consumption” and “Mean Drought Index”. Furthermore, we have applied a cluster analysis with the k-Means algorithm optimized with the Elbow Method and we find the presence of four cluster. Finally, we apply eight machine-learning algorithms for the prediction of the future value of COE and we find that the Artificial Neural Network-ANN algorithm is the best predictor. The ANN predicts a reduction in the level of COE equal to 5.69% on average for the analysed countries. JEL Classification: D7, D70, D72, D73, D78

show abstract

The Role of Political Stability in the Context of ESG Models at World Level

Cited by 4 publications

References 27 publications

The Role of Unemployment in the ESG Model at World Level

The Role of Unemployment in the ESG Model at World Level

The Role of Political Stability in the Context of Esg Models at World Level

The Determinants of CO2 Emissions in the Context of ESG Models at World Level

Contact Info

Product

Resources

About