Abstract
This study pioneers empirical studies on the economic and demographic determinants of energy diversification using a recently constructed energy diversification index. With a dataset of 65 countries involving panels of middle-income, high-income, and G20 countries, factors such as income level, urbanization, foreign direct investment, infrastructure, and industrialization were analyzed using several econometrics techniques including the Driscoll-Kraay standard errors, a generalized method of moments approach, and a panel data quantile regression approach. The results suggest that in most cases, rising income and urbanization enhance energy diversification, especially at higher quantiles. Furthermore, more foreign direct investment leads to less energy diversification, except in middle-income countries. The results also imply that more infrastructural facilities and industrialization lead to more diversification in high-income countries.
| Original language | English |
|---|---|
| Pages (from-to) | 18501-18526 |
| Number of pages | 26 |
| Journal | Journal of the Knowledge Economy |
| Volume | 16 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - Dec 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 10 Reduced Inequalities
Free Keywords
- Augmented energy ladder hypothesis
- Energy diversification
- Energy transition
- Panel quantile estimations
ASJC Scopus subject areas
- Economics and Econometrics
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