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A Development Dilemma: How Does Energy Poverty Improvement Affect Fossil Fuel Energy Consumption in Southeast Asian Countries in the 21st Century?

Author

Listed:
  • Thongtai, Chanon
  • Kanchomphu, Raweeroj

Abstract

Governments worldwide have actively addressed energy poverty through extensive subsidy policies; however, these efforts face the complex challenge of balancing improved energy access with long-term sustainable development goals. This study examines the effects of energy poverty improvement (EPI) on fossil fuel consumption using a cubic form of the Environmental Kuznets Curve in five Southeast Asian countries—Philippines, Indonesia, Malaysia, Thailand, and Vietnam—over 2000–2020, employing GLS panel regression. A new EPI indicator is constructed by combining binary data on access to clean cooking energy and rural electricity. Results reveal a non-linear relationship: fossil fuel consumption per capita increases with EPI until a peak value of 91.88, after which it declines, supporting the EKC hypothesis. The findings underscore the need for policies promoting renewable energy adoption to ensure that gains in energy access are consistent with environmental sustainability.

Suggested Citation

  • Thongtai, Chanon & Kanchomphu, Raweeroj, 2025. "A Development Dilemma: How Does Energy Poverty Improvement Affect Fossil Fuel Energy Consumption in Southeast Asian Countries in the 21st Century?," Asian Journal of Applied Economics, Kasetsart University, Center for Applied Economics Research, vol. 32(2).
    • Handle: RePEc:ags:thkase:401161
    DOI: 10.22004/ag.econ.401161
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    References listed on IDEAS

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    1. Abbas, Khizar & Li, Shixiang & Xu, Deyi & Baz, Khan & Rakhmetova, Aigerim, 2020. "Do socioeconomic factors determine household multidimensional energy poverty? Empirical evidence from South Asia," Energy Policy, Elsevier, vol. 146(C).
    2. Elisenda Jové-LLopis & Elisa Trujillo-Baute, 2024. "The effect of regional factors on energy poverty," Applied Economic Analysis, Emerald Group Publishing Limited, vol. 32(95), pages 167-185, July.
    3. Samrena Jabeen & Ismat Nasim & Furrukh Bashir & David Chaloupský & Ahsan Akbar, 2024. "The Impact of Fossil Fuel Energy, Technological Innovation and Globalization on Tourism Inflows of Top Ten Most Visited Countries," International Journal of Energy Economics and Policy, International Journal of Energy Economics and Policy, vol. 14(3), pages 664-671, May.
    4. Massimiliano Caporin & Arusha Cooray & Bekhzod Kuziboev & Inomjon Yusubov, 2024. "New insights on the environmental Kuznets curve (EKC) for Central Asia," Empirical Economics, Springer, vol. 66(5), pages 2335-2354, May.
    5. Awaworyi Churchill, Sefa & Smyth, Russell & Trinh, Trong-Anh, 2022. "Energy poverty, temperature and climate change," Energy Economics, Elsevier, vol. 114(C).
    6. Dinda, Soumyananda, 2004. "Environmental Kuznets Curve Hypothesis: A Survey," Ecological Economics, Elsevier, vol. 49(4), pages 431-455, August.
    7. repec:een:camaaa:2019-03 is not listed on IDEAS
    8. Domguia, Edmond Noubissi & Ngounou, Borice Augustin & Pondie, Thierry Messie & Bitoto, Fabrice Ewolo, 2024. "Environmental tax and energy poverty: An economic approach for an environmental and social solution," Energy, Elsevier, vol. 308(C).
    9. David I. Stern, 2017. "The environmental Kuznets curve after 25 years," Journal of Bioeconomics, Springer, vol. 19(1), pages 7-28, April.
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