IJESD 2025 Vol.16(3): 174-181
doi: 10.18178/ijesd.2025.16.3.1523

Climate Change and Environment Kuznets Curve in Developing Economies (D-8 Nations)

Asma Arif1, Umaima Arif2, Sania Shaheen1, Muhammad Danish Habib3, Festus Victor Bekun4,5,6,*, and Murat Ismet Haseki7
1Department of Economics, University of Wah, Wah Cantt 47040, Pakistan
2School of Economics, Quaid-i-Azam University Islamabad 46000, Pakistan
3Department of Business Administration, Air University Islamabad, Aerospace and Aviation Campus Kamra 43570, Pakistan
4Department of Logistics Management, Istanbul Gelisim University, Istanbul, Turkey
5University of Economics and Human, Sciences in Warsaw, Warsaw, Poland
6Research Center of Development Economics, Azerbaijan State University of Economics (UNEC), Baku, Azerbaijan
7Department of Business Administration, Kozan Faculty of Business Administration, Cukurova University, Adana, Turkey
Email: asma.arif@uow.edu.pk (A.A.); umaimaarif@qau.edu.pk (U.A.); sania.shaheen@uow.edu.pk (S.S.); danish.habib@aack.au.edu.pk (M.D.H.); fbekun@gelisim.edu.tr (F.V.B.); mhaseki@cu.edu.tr (M.I.H.)
*Corresponding author
Manuscript received December 1, 2024; revised February 1, 2025; accepted March 12, 2025; published May 20, 2025

Abstract—The main goal of the current study is to determine the relationships between CO2 emissions and the inflow of foreign investment for developing economies (D-8 countries) to determine whether or not the environmental Kuznets curve hypothesis is validated or otherwise for the study areas. The dependent variable in the current study is carbon dioxide emissions. The population was used as the control variable in this study, while the independent variables were population growth, per capita Gross Domestic Product (GDP), inflow of foreign investment, inflation, and open trade for D-8 countries from 1999 to 2023. The Fixed Effect (FE) and Random Effect (RE) model techniques were used for empirical analysis, and the Hausman test was used to choose the best-fitting model for this study. Empirical findings validate the existence of the Environmental Kuznets curve (EKC) hypothesis in D-8 countries over the study period. Additionally, there is a strong positive correlation between the inflow of foreign investment and carbon emissions, supporting the pollution heaven hypothesis, which holds that developed countries transfer their obsolete technology to developing nations. This paper explains how Foreign Direct Investment (FDI) and GDP per capita impact carbon dioxide emissions in developing countries and assists policymakers in proposing policies to draw in higherquality FDI. Developing countries need to take a comprehensive and varied approach to achieve green economic growth. By utilizing renewable energy and promoting environmentally friendly transportation it is currently crucial to turn the transportation sector green and promote environmentally friendly transportation to lessen environmental effects and make the environment more environmentally friendly. This may be done by using renewable energy and encouraging environmentally friendly transportation. The need to coordinate global policies with the Sustainable Development Goals (SDG) is the main subject of this study, especially when it comes to achieving sustainable economic growth with the fewest possible environmental risks. Government and policymakers may achieve a sustainable future for developing nations by balancing economic development and environmental sustainability by focusing on green economic growth.

Keywords—carbon dioxide emissions, gross domestic product per capita, foreign direct investment, inflation, trade openness and population growth; developing economies

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Cite: Asma Arif, Umaima Arif, Sania Shaheen, Muhammad Danish Habib, Festus Victor Bekun, and Murat Ismet Haseki, "Climate Change and Environment Kuznets Curve in Developing Economies (D-8 Nations)," International Journal of Environmental Science and Development vol. 16, no. 3, pp. 174-181, 2025.

Copyright © 2025 by the authors. 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 (CC BY 4.0).

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