International Journal of Environmental Science and Development

Abstract—This study aims to determine the relationship between Greenhouse Gas Emissions (GHG), land area, population, Electric Power Derived from Fossil Fuel, and economic activity and identify whether the Environmental Kuznets Curve (EKC) is applicable to developing countries in Association of Southeast Asian Nations (ASEAN). The data used is panel data of ten developing countries in ASEAN from 1999-2020. The analysis used is regression panel data to determine what variables affect GHG, which is explained using spatial tools GeoMap Orange Data Mining. Empirical results show that the EKC hypothesis is not proven in developing countries in ASEAN. In addition, area, population, electric power derived from fossil fuels, and economic growth significantly affect GHG. This indicates the need for strict regulation to reduce GHG gas emissions contributing to climate change. Furthermore, it is essential to promote public support for the adoption of energy-efficient practices, enhance the utilization of renewable energy sources, shift energy consumption patterns, transform exported goods to low-carbon alternatives, and assess the enforcement of global agreements influencing sustainable development strategies within every developing country in the ASEAN.

Keywords—environmental kuznets curve, gross domestic product, greenhouse gas emissions, GeoMap orange data mining, foreign direct investment, developing countries, ASEAN

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Cite: Ainina Ratnadewati , Izza Mafruhah , and Evi Gravitiani, "Multi-Analysis Environmental Kuznets Curve for Developing Country in Southeast Asia: Using Macro Economics Perspective ," International Journal of Environmental Science and Development vol. 15, no. 5, pp. 258-267, 2024.

Copyright © 2024 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).