The Role of GDP Growth in the ESG Approach at World Level

Leogrande, Angelo; Costantiello, Alberto

doi:10.2139/ssrn.4434206

Cited by 3 publications

(4 citation statements)

References 25 publications

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“…Chen (2023) indicated that in BRICS countries, the fulfillment of ESG obligations, alongside economic growth, net national income, FDI, and inflation, shows a positive correlation with the achievement of SDGs [26]. Leogrande & Costantiello (2023) have also endeavored to explore the impact of GDP on ESG factors. They found that the GDP growth rate is positively associated, among others, with "Government Effectiveness" and "Prevalence of Undernourishment," and negatively associated, among others, with "Unemployment" and "Research and Development Expenditure."…”

Section: Evolution Of the Sustainability Approachmentioning

confidence: 99%

“…They found that the GDP growth rate is positively associated, among others, with "Government Effectiveness" and "Prevalence of Undernourishment," and negatively associated, among others, with "Unemployment" and "Research and Development Expenditure." [27]. The WVS global research project examines the different values and belief-systems of people, communities, and social groups, researching what kind of social, political, and even economic impact they have.…”

Section: Evolution Of the Sustainability Approachmentioning

confidence: 99%

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Kopátsy’ ideas along the dimensions of the ESG framework

Antal,

Katona

2024

Gradus

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The study examines the forward-thinking and innovative ideas of Sándor Kopátsy that align well with the pillars of the increasingly prevalent ESG (Environmental, Social, Governance) framework, anticipating their time. During the research, document analysis was employed, incorporating not only Kopátsy's already published studies but also, uniquely, the unpublished manuscripts found in the digital archive of the Sándor Kopátsy Knowledge Center, as well. Kopátsy's starting point was his close relationship to nature, asserting that nature does exist for humanity. He claimed, that in a society harmonized with nature, people can be more productive, ethical, and achieve a higher cultural level. It is crutial, thus quality workforce, even without abundant capital or raw materials, can position a country at the forefront, parallel to the conscientious and realistically executed use of alternative energy sources. The research was conducted within the framework of the Kopátsy Research Program 2023 Fall.

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Section: Evolution Of the Sustainability Approachmentioning

confidence: 99%

Section: Evolution Of the Sustainability Approachmentioning

confidence: 99%

Kopátsy’ ideas along the dimensions of the ESG framework

Antal,

Katona

2024

Gradus

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“…Unemployment impedes the application of the ESG model in South Africa, especially in the reduction of the S component [4]. 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].…”

Section: Unemployment and Esg Modelmentioning

confidence: 99%

The Role of Unemployment in the ESG Model at World Level

Leogrande¹,

Leogrande

Costantiello³

2023

Preprint

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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.

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Section: Unemployment and Esg Modelmentioning

confidence: 99%