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A Study on the Distribution Dynamics, Regional Disparities, and Convergence of China’s Energy Transition

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  • Peifang Tian

    (School of Emergency Management, Institute of Disaster Prevention, Langfang 065201, China)

  • Zhiyuan Gao

    (School of Economics and Management, Beijing Institute of Petrochemical Technology, Beijing 102617, China
    Development Research Centre of Beijing New Modern Industrial Area, Beijing 102617, China)

  • Yu Hao

    (School of Economics, Beijing Institute of Technology, Beijing 100081, China)

Abstract

Energy transition, as a crucial aspect of the country’s high-value-added economic development, involves the construction of an energy transition index system and empirical analysis using methods such as the entropy weighting method, kernel density estimation, Markov chain, Dagum Gini coefficient, σ-convergence, and β-convergence. This study measures the level of energy transition in 280 Chinese cities from 2010 to 2019 and analyzes their evolutionary trends, regional disparities, structural differences, and convergence. The findings reveal that China’s energy transition generally exhibits characteristics of “improvement in development levels and reduction in absolute disparities”. The disparities in energy transition primarily stem from developmental differences among the three major regions, displaying typical σ-convergence and β-convergence characteristics. This analysis contributes to understanding the real level and distribution features of China’s energy transition, providing a basis for identifying focal points for enhancing energy transition in the current and future stages.

Suggested Citation

  • Peifang Tian & Zhiyuan Gao & Yu Hao, 2024. "A Study on the Distribution Dynamics, Regional Disparities, and Convergence of China’s Energy Transition," Energies, MDPI, vol. 17(12), pages 1-20, June.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:12:p:2842-:d:1411758
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    References listed on IDEAS

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    1. Genc, Talat S., 2024. "Energy Transition and the role of new natural gas turbines for power production: The case of GT11N2 M generators," Energy Economics, Elsevier, vol. 131(C).
    2. Sarsar, Lamiae & Echaoui, Abdellah, 2024. "Empirical analysis of the economic complexity boost on the impact of energy transition on economic growth: A panel data study of 124 countries," Energy, Elsevier, vol. 294(C).
    3. Fang, Guochang & Chen, Gang & Yang, Kun & Yin, Weijun & Tian, Lixin, 2023. "Can green tax policy promote China's energy transformation?— A nonlinear analysis from production and consumption perspectives," Energy, Elsevier, vol. 269(C).
    4. Zadeh, Omid Razavi & Romagnoli, Silvia, 2024. "Financing sustainable energy transition with algorithmic energy tokens," Energy Economics, Elsevier, vol. 132(C).
    5. Ullah, Sami & Niu, Ben & Meo, Muhammad Saeed, 2024. "Digital inclusion and environmental taxes: A dynamic duo for energy transition in green economies," Applied Energy, Elsevier, vol. 361(C).
    6. Wu, Liangpeng & Xu, Chengzhen & Zhu, Qingyuan & Zhou, Dequn, 2024. "Multiple energy price distortions and improvement of potential energy consumption structure in the energy transition," Applied Energy, Elsevier, vol. 362(C).
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