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Advancing Sustainable Development Through Exports of Clean Energy Products From Emerging Asian Economies: A Poisson Pseudo Maximum Likelihood Estimation Approach

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  • Arvind Goswami
  • Rajesh Kumar Jangir
  • Vijay Kumar Chattu

Abstract

The promotion of clean energy is critical to achieving sustainable development. This study investigates the factors that affect the exports, trade potential, and revealed comparative advantage (RCA) of clean energy products (CEPs) in the emerging Asian economies (EAEs). The export data of the CEPs was collected from UN Comtrade based on six‐digit HSN codes and for other variables, the world development indicators database was used for the period 2000–2020. The Augmented Gravity Model and Poisson Pseudo Maximum Likelihood Estimation (PPMLE) were applied for the analysis and the results show that exporting countries' economic growth is significantly promoting the exports of CEPs in all countries except Indonesia and Saudi Arabia. Surprisingly, it was found that distance is playing a positive role in export growth in most countries, a sign of a globalized world. However, these economies, especially India and Pakistan should resolve their border disputes and enhance regional cooperation to increase CEPs exports, which will help them achieve sustainable economic growth.

Suggested Citation

  • Arvind Goswami & Rajesh Kumar Jangir & Vijay Kumar Chattu, 2026. "Advancing Sustainable Development Through Exports of Clean Energy Products From Emerging Asian Economies: A Poisson Pseudo Maximum Likelihood Estimation Approach," Sustainable Development, John Wiley & Sons, Ltd., vol. 34(3), pages 3899-3914, June.
    • Handle: RePEc:wly:sustdv:v:34:y:2026:i:3:p:3899-3914
    DOI: 10.1002/sd.70520
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