The role of energy efficiency in income inequality dynamics in developing Asia: Evidence from artificial neural networks

Xun Wei, Shreya Pal, Mantu Kumar Mahalik and Weibai Liu

Energy Economics, 2024, vol. 136, issue C

Abstract: This study investigates the drivers of income inequality trends in seven developing Asian countries between 1990 and 2022, exploring the effects of energy efficiency, government spending, economic growth, globalization, and human development. The study investigates how these variables affect income inequality using various statistical methods, including long-run machine learning and prediction models. The findings indicate a negative impact of energy efficiency on income inequality, highlighting the potential of energy-saving measures in narrowing the income gaps between the rich and poor. Government spending, economic growth, globalization, and human development are also crucial in alleviating income inequality in developing Asian countries. This study underscores the importance of tailored policies, advocating for investments in energy efficiency, targeted government spending, larger economic integration, and inclusive growth strategies to address income inequality in developing Asia.

Keywords: Income inequality; Energy efficiency; Artificial neural network; Machine learning estimations; Developing Asian economies (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:136:y:2024:i:c:s0140988324004559

DOI: 10.1016/j.eneco.2024.107747

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