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Spatial conditional convergence analysis of total factor energy efficiency based on industry transfer and technology diffusion

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  • Pan, Xiongfeng
  • Li, Jinming
  • Zhao, Lei

Abstract

Measuring energy efficiency is important to achieve the goal of sustainable economic development. This paper adopts the Malmquist index to measure the trend of regional total factor energy efficiency. This paper analyses the spatial aggregation characteristics of TFEE and the impact mechanism of industrial transfer and technology diffusion on TFEE convergence from a dynamic perspective. The results of the study show that there is a large gap in TFEE between regions in China, with a spatial characteristic of “high in the south and low in the north”. In 2006–2021, the convergence rate of TFEE shows a slowing down trend. Industrial transfer has a negative effect on TFEE. The impact of technology diffusion on TFEE is different in different periods. The impact of researchers, technology market, technology introduction, and import-export on TFEE have significant differences. The convergence rate of the south is higher than that of the north. The impact of industrial transfer and technology diffusion on TFEE in the two parts is different. Policymakers should implement differentiated energy policies based on the characteristics of the industrial structure and technological development of each region. They should actively guide technological innovation, promote industrial diversification, and build a clean and efficient energy system.

Suggested Citation

  • Pan, Xiongfeng & Li, Jinming & Zhao, Lei, 2024. "Spatial conditional convergence analysis of total factor energy efficiency based on industry transfer and technology diffusion," Energy, Elsevier, vol. 307(C).
    • Handle: RePEc:eee:energy:v:307:y:2024:i:c:s0360544224025076
    DOI: 10.1016/j.energy.2024.132733
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    References listed on IDEAS

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    1. Wendong Lv & Xiaoxin Hong & Kuangnan Fang, 2015. "Chinese regional energy efficiency change and its determinants analysis: Malmquist index and Tobit model," Annals of Operations Research, Springer, vol. 228(1), pages 9-22, May.
    2. Hu, Jin-Li & Wang, Shih-Chuan, 2006. "Total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 34(17), pages 3206-3217, November.
    3. Ozili, Peterson K, 2023. "Global energy crisis: impact on the global economy," MPRA Paper 118791, University Library of Munich, Germany.
    4. Wenwen Li & Wenping Wang & Yu Wang & Yingbo Qin, 2017. "Industrial structure, technological progress and CO2 emissions in China: Analysis based on the STIRPAT framework," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(3), pages 1545-1564, September.
    5. Shakya, S.R. & Adhikari, R. & Poudel, S. & Rupakheti, M., 2022. "Energy equity as a major driver of energy intensity in South Asia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
    6. Wolfgang Keller, 2004. "International Technology Diffusion," Journal of Economic Literature, American Economic Association, vol. 42(3), pages 752-782, September.
    7. Martin Jänicke & Manfred Binder & Harald Mönch, 1997. "‘Dirty industries’: Patterns of change in industrial countries," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 9(4), pages 467-491, June.
    8. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    9. Wei, Yi-Ming & Liao, Hua & Fan, Ying, 2007. "An empirical analysis of energy efficiency in China's iron and steel sector," Energy, Elsevier, vol. 32(12), pages 2262-2270.
    10. Azhgaliyeva, Dina & Liu, Yang & Liddle, Brantley, 2020. "An empirical analysis of energy intensity and the role of policy instruments," Energy Policy, Elsevier, vol. 145(C).
    Full references (including those not matched with items on IDEAS)

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