4.7 Article

Testing environment Kuznets curve (EKC) hypothesis in different regions

期刊

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
卷 28, 期 11, 页码 13581-13594

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s11356-020-11516-2

关键词

Environment Kuznets curve (EKC); Panel data estimation; Carbon dioxide emission; Geographic analysis; Economic development

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This study investigates the relationship between air pollution and economic growth based on the EKC hypothesis, finding that the hypothesis is supported in all regions except Sub-Saharan Africa. The results indicate regional differences in the EKC relationship.
This study examines the association between air pollution and economic growth based on the idea of environment Kuznets curve (EKC) hypothesis which suggests an inverted U-shaped link between air pollution and economic growth in six different regions including Latin America and the Caribbean, East Asia and the Pacific, Europe and Central Asia, South Asia, the Middle East and North Africa, and Sub-Saharan Africa over the period 2000 to 2018. This regional classification is done to investigate the regional differences of the EKC relationship for carbon emissions. Models based on panel data econometric models are employed to obtain empirical results. Random effect and fixed effect models are used in the present study. A multivariate framework is used in which carbon dioxide emission, per capita gross domestic product, trade openness, foreign direct investment, primary school enrollment, financial development indicator, and institutional quality that is measured by six indicators are included. The result is that the EKC hypothesis is supported in all the abovementioned regions except in the Sub-Saharan Africa region. Thus, the hypothesis that different regions have dissimilar EKC relationships is supported through the results of this research study.

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