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Research on the Nested Structure and Substitution Elasticity of China’s Power Energy Sources

Author

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  • Shan Wang

    (School of Economics, Beijing Wuzi University, Beijing 101149, China)

  • Keyu Zhang

    (School of Economics, Beijing Wuzi University, Beijing 101149, China)

Abstract

In alignment with China’s “carbon peak and carbon neutrality” goals, carbon reduction and energy structure transformation are central priorities. As a major emitter, the power industry plays a key role in this transition, and identifying effective pathways for its green energy transformation is essential to driving broader industrial green transformation and ensuring sustainable development. This article calculates the elasticity of substitution between clean and non-clean energy within China’s power sector from 1993 to 2021, employing the kernel density estimation method. By further comparing the goodness-of-fit across various nested structures of clean energy sources, the study identifies the optimal internal nested structure and examines the interactions among its components. The results underscore two key insights: on the one hand, a robust substitutive relationship exists between clean and non-clean energy, with the substitution elasticity of 1.646, exhibiting pronounced regional heterogeneity characterized as “weaker in the east and stronger in the west”; on the other hand, the optimal nested structure of clean energy is identified as (hydropower + nuclear power)—wind power—solar power. In this structure, the elements display a substitutive relationship in the Eastern Region, while in the Western Region, they exhibit a complementary relationship.

Suggested Citation

  • Shan Wang & Keyu Zhang, 2025. "Research on the Nested Structure and Substitution Elasticity of China’s Power Energy Sources," Sustainability, MDPI, vol. 17(3), pages 1-22, January.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:3:p:1098-:d:1579764
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    References listed on IDEAS

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    1. Feng, Shenghao & Zhang, Keyu, 2018. "Fuel-factor nesting structures in CGE models of China," Energy Economics, Elsevier, vol. 75(C), pages 274-284.
    2. Malikov, Emir & Sun, Kai & Kumbhakar, Subal C., 2018. "Nonparametric estimates of the clean and dirty energy substitutability," Economics Letters, Elsevier, vol. 168(C), pages 118-122.
    3. Wang, Chen & Raza, Syed Ali & Adebayo, Tomiwa Sunday & Yi, Sun & Shah, Muhammad Ibrahim, 2023. "The roles of hydro, nuclear and biomass energy towards carbon neutrality target in China: A policy-based analysis," Energy, Elsevier, vol. 262(PA).
    4. Arbex, Marcelo & Perobelli, Fernando S., 2010. "Solow meets Leontief: Economic growth and energy consumption," Energy Economics, Elsevier, vol. 32(1), pages 43-53, January.
    5. Dergiades, Theologos & Martinopoulos, Georgios & Tsoulfidis, Lefteris, 2013. "Energy consumption and economic growth: Parametric and non-parametric causality testing for the case of Greece," Energy Economics, Elsevier, vol. 36(C), pages 686-697.
    6. Miao, Zhuang & Chen, Xiaodong, 2022. "Combining parametric and non-parametric approach, variable & source -specific productivity changes and rebound effect of energy & environment," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    7. Peter Newell, 2019. "Trasformismo or transformation? The global political economy of energy transitions," Review of International Political Economy, Taylor & Francis Journals, vol. 26(1), pages 25-48, January.
    8. Chris Papageorgiou & Marianne Saam & Patrick Schulte, 2017. "Substitution between Clean and Dirty Energy Inputs: A Macroeconomic Perspective," The Review of Economics and Statistics, MIT Press, vol. 99(2), pages 281-290, May.
    9. Nicholas Stern, 2008. "The Economics of Climate Change," American Economic Review, American Economic Association, vol. 98(2), pages 1-37, May.
    10. Julia Hartmann & Andrew C Inkpen & Kannan Ramaswamy, 2021. "Different shades of green: Global oil and gas companies and renewable energy," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 52(5), pages 879-903, July.
    11. Prywes, Menahem, 1986. "A nested CES approach to capital-energy substitution," Energy Economics, Elsevier, vol. 8(1), pages 22-28, January.
    12. Mu, Yaqian & Cai, Wenjia & Evans, Samuel & Wang, Can & Roland-Holst, David, 2018. "Employment impacts of renewable energy policies in China: A decomposition analysis based on a CGE modeling framework," Applied Energy, Elsevier, vol. 210(C), pages 256-267.
    13. Lagomarsino, Elena, 2020. "Estimating elasticities of substitution with nested CES production functions: Where do we stand?," Energy Economics, Elsevier, vol. 88(C).
    14. Esteban, Miguel & Leary, David, 2012. "Current developments and future prospects of offshore wind and ocean energy," Applied Energy, Elsevier, vol. 90(1), pages 128-136.
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