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Measurement of Carbon Total Factor Productivity in the Context of Carbon–Electricity Market Collaboration: An Application of Biennial Luenberger Productivity Index

Author

Listed:
  • Li Zhang

    (State Grid Anhui Electric Power Co., Ltd., Economic Technology Research Institute, Hefei 230061, China)

  • Hao Li

    (School of Economics, Hefei University of Technology, Hefei 230601, China)

  • Zhumeng Song

    (State Grid Anhui Electric Power Co., Ltd., Economic Technology Research Institute, Hefei 230061, China)

  • Wei Shi

    (State Grid Anhui Electric Power Co., Ltd., Hefei 230601, China)

  • Wenxiang Sheng

    (School of Management, Hefei University of Technology, Hefei 230601, China)

Abstract

China’s industrial sector generally relies on electricity as its main source of energy, and industrial production can be affected if there are problems with the electricity supply. In order to deal with the uncertain electricity supply and achieve the “dual carbon” target, the industrial sector needs to take effective measures to enhance carbon total factor productivity (CTFP). We use the biennial Luenberger productivity index (BLPI) to try to provide strategies for low-carbon industrial development in China. The results indicate that the overall CTFP of China’s industrial sector showed an increasing trend from 2006 to 2019. Technology change was the main contributor to the change in CTFP, but fluctuations in efficiency change remained a challenge. Differences were observed between the light industry sector (LIS) and the heavy industry sector (HIS) in terms of changes in CTFP, with LIS showing more stable changes and HIS experiencing larger fluctuations. Most sub-sectors showed increased CTFP during the sample period. R&D investment and R&D personnel have a positive impact on CTFP, while energy structure is found to hinder CTFP. According to the research results of this study, we offer the corresponding policy implications. This study is the first to explore the balance between low-carbon goals and industrial production from the perspective of improving CTFP, providing a new viewpoint on the contributions of technological innovation to solving socio-economic issues.

Suggested Citation

  • Li Zhang & Hao Li & Zhumeng Song & Wei Shi & Wenxiang Sheng, 2024. "Measurement of Carbon Total Factor Productivity in the Context of Carbon–Electricity Market Collaboration: An Application of Biennial Luenberger Productivity Index," Energies, MDPI, vol. 17(5), pages 1-19, March.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:5:p:1219-:d:1350642
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    References listed on IDEAS

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    1. Fujii, Hidemichi & Managi, Shunsuke & Matousek, Roman, 2014. "Indian bank efficiency and productivity changes with undesirable outputs: A disaggregated approach," Journal of Banking & Finance, Elsevier, vol. 38(C), pages 41-50.
    2. Dong-hyun Oh, 2010. "A global Malmquist-Luenberger productivity index," Journal of Productivity Analysis, Springer, vol. 34(3), pages 183-197, December.
    3. Ouyang, Xiaoling & Fang, Xingming & Cao, Yan & Sun, Chuanwang, 2020. "Factors behind CO2 emission reduction in Chinese heavy industries: Do environmental regulations matter?," Energy Policy, Elsevier, vol. 145(C).
    4. Wei Zhang & Jing Cheng & Xuemeng Liu & Zhangrong Zhu, 2023. "Heterogeneous industrial agglomeration, its coordinated development and total factor energy efficiency," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(6), pages 5511-5537, June.
    5. Fare, Rolf & Shawna Grosskopf & Mary Norris & Zhongyang Zhang, 1994. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries," American Economic Review, American Economic Association, vol. 84(1), pages 66-83, March.
    6. Li, Shuangmei & Zhu, Xuehong & Zhang, Tao, 2023. "Optimum combination of heterogeneous environmental policy instruments and market for green transformation: Empirical evidence from China's metal sector," Energy Economics, Elsevier, vol. 123(C).
    7. Li, Kai & Yan, Yaxue & Zhang, Xiaoling, 2021. "Carbon-abatement policies, investment preferences, and directed technological change: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    8. Mo, Jianlei & Tu, Qiang & Wang, Jianing, 2023. "Carbon pricing and enterprise productivity-The role of price stabilization mechanism," Energy Economics, Elsevier, vol. 120(C).
    9. Zhou, Tao & Huang, Xuhui & Zhang, Ning, 2023. "The effect of innovation pilot on carbon total factor productivity: Quasi-experimental evidence from China," Energy Economics, Elsevier, vol. 125(C).
    10. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
    11. Jing Deng & Yujie Zheng & Yun Zhang & Cheng Liu & Huanxue Pan, 2023. "Dynamic Spillovers between Carbon Price and Power Sector Returns in China: A Network-Based Analysis before and after Launching National Carbon Emissions Trading Market," Energies, MDPI, vol. 16(14), pages 1-27, July.
    12. Wang, Juan & Hu, Mingming & Rodrigues, João F.D., 2018. "The evolution and driving forces of industrial aggregate energy intensity in China: An extended decomposition analysis," Applied Energy, Elsevier, vol. 228(C), pages 2195-2206.
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