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Research on Energy Efficiency Evaluation of Provinces along the Belt and Road under Carbon Emission Constraints: Based on Super-Efficient SBM and Malmquist Index Model

Author

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  • Yuxin Yan

    (School of Energy Science and Engineering, Central South University, Changsha 410083, China)

  • Yubao Chen

    (Business School, Ningbo University, Ningbo 315211, China)

  • Minghua Han

    (Business School, Ningbo University, Ningbo 315211, China)

  • Hui Zhen

    (Business School, Ningbo University, Ningbo 315211, China)

Abstract

About 50% of China’s total energy consumption is generated by the Belt and Road regions, which mainly involves 18 provinces, municipalities, and autonomous regions. To complement each other, the focus on total factor energy efficiency in key regions cannot be ignored. This paper selects the key domestic areas of the Belt and Road as the research object, follows the research ideas of static measurement and dynamic decomposition, and considers the constraints of carbon emissions. The super-efficiency SBM model can measure the energy efficiency statically and include all factors of each province and city from 2015 to 2019, and the Malmquist productivity index model is able to decompose the variation in total factor energy efficiency. The research results show that (1) there are apparent differences in energy efficiency among the provinces along the Belt and Road for the average total factor energy efficiency of the 21st-Century Maritime Silk Road region is 1.03, which is significantly higher than that of the 12 provinces along the Silk Road Economic Belt; (2) from the perspective of time, the provinces along the Belt and Road’s total factor energy efficiency shows a fluctuating upward trend, which is deeply affected by technological progress; (3) from the perspective of index decomposition, the main reason for the low energy efficiency of the provinces in the Silk Road Economic Belt region is low technical efficiency, and the main factor supporting the improvement of the 21st-Century Maritime Silk Road region energy efficiency is technological progress.

Suggested Citation

  • Yuxin Yan & Yubao Chen & Minghua Han & Hui Zhen, 2022. "Research on Energy Efficiency Evaluation of Provinces along the Belt and Road under Carbon Emission Constraints: Based on Super-Efficient SBM and Malmquist Index Model," Sustainability, MDPI, vol. 14(14), pages 1-14, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8453-:d:859832
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    References listed on IDEAS

    as
    1. 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.
    2. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    3. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
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    Cited by:

    1. Tingting Wu & Junjun Chen & Chengchun Shi & Guidi Yang, 2023. "Carbon Emission Efficiency and Reduction Potential Based on Three-Stage Slacks-Based Measure with Data Envelopment Analysis and Malmquist at the City Scale in Fujian Province, China," Sustainability, MDPI, vol. 15(16), pages 1-15, August.
    2. Pengfei Zhou & Mengyu Han & Yang Shen, 2023. "Impact of Intelligent Manufacturing on Total-Factor Energy Efficiency: Mechanism and Improvement Path," Sustainability, MDPI, vol. 15(5), pages 1-22, February.

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