STATISTICAL ASSESSMENT OF THE IMPACT OF ESG FACTORS ON ECONOMIC DEVELOPMENT IN THE CONTEXT OF SUSTAINABLE DEVELOPMENT

The purpose of the research - this is a statistical assessment of the influence of ESG (Environment, Social and Governance) factors on economic development in the countries included in the scope of the study, based on a random sample.

The methodology of the research - in the process of research, the influence of ESG (Environmental, Social and Governance) factors on economic development is carried out on the basis of correlation-regression and cointegration analysis based on the method of least squares, as well as on the results of modern research on this problem.

The practical importance of the research - empirical substantiation of the relationship between the studied variables and the obtained results can be important in the development of practical recommendations of state policy and business strategy aimed at humanizing economic growth in the country.

The results of the research - in the process of research, based on regression-correlation and cointegration analysis, the existence of a positive relationship between the practical application of ESG principles and GDP per capita was proven. The obtained results can be used for further theoretical and empirical studies on the application of ESG in the business environment, as well as on the humanization of economic growth.

The originality and scientific novelty of the research - currently, there is no unequivocal opinion in the international scientific community about the relationship between the factors of ecology, social responsibility and corporate governance and economic development. In the process of research, the inverse relationship between the GDP per capita of the national economy, involved in ESG-transformation, and the Sustainable Development Goals Achievement Index was discovered and specified, which can be evaluated as an original research work.

Keywords: sustainable development, goals of sustainable development, economic development, ESG-factors, regression, correlation, cointegration, stationary vector model of error correction.

 

http://doi.org/10.59610/bbu3.2024.3.1

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№3 - 2024

Author

Ali Imash Aliyev