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Refined Laspeyres Decomposition-Based Analysis of Relationship between Economy and Electric Carbon Productivity from the Provincial Perspective—Development Mode and Policy

Author

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  • Wei Sun

    (School of Economics and Management, North China Electric Power University, Baoding 071003, China)

  • Hua Cai

    (Industrial Engineering, Purdue University, West Lafayette, IN 47906, USA
    Environmental and Ecological Engineering, Purdue University, West Lafayette, IN 47906, USA)

  • Yuwei Wang

    (School of Economics and Management, North China Electric Power University, Baoding 071003, China)

Abstract

The development of low-carbon electric power industry plays a vital role in sustainable economic development due to the supporting role of electricity in the Gross Domestic Product GDP. The electric carbon productivity indicator is introduced to investigate the provincial economic development and electric industry-related indicators. The refined Laspeyres decomposition technique is adopted to decompose provincial economic change into the quantitative influence of CO 2 emission, electric carbon productivity, and emission structure for the first-stage decomposition; the electric carbon productivity change is sub-decomposed into the influence of factors such as electricity-economic productivity, electricity import-export, and generation carbon efficiency. Through decomposition analysis for the research period of 2005 to 2015, scientific and reasonable suggestions are made for improvement of electric carbon productivity and provincial economic development: (1) The main obstacle to electric carbon productivity improvement is emissions from the power industry. (2) There is interaction between the green economic development mode and the low-carbon electric power industry. In others words, provincial future economy development mode formulation should consider not only economic and industrial factors but also power industry factors. (3) The issue of electric carbon productivity improvement and regional development mode is partially consistent with geographic locations, which is a comprehensive effect of economy level, power industry, energy resources, technological development level, environmental awareness, etc. (4) Due to the existence of regional protection, provincial local incentives should be promulgated to break the GDP-driven development mode to realize coordination among the economy, power industry, and the environment.

Suggested Citation

  • Wei Sun & Hua Cai & Yuwei Wang, 2018. "Refined Laspeyres Decomposition-Based Analysis of Relationship between Economy and Electric Carbon Productivity from the Provincial Perspective—Development Mode and Policy," Energies, MDPI, vol. 11(12), pages 1-20, December.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:12:p:3426-:d:188600
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    References listed on IDEAS

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    1. Yujiao Xian & Ke Wang & Xunpeng Shi & Chi Zhang & Yi-Ming Wei & Zhimin Huang, 2018. "Carbon emissions intensity reduction target for China¡¯s power industry: An efficiency and productivity perspective," CEEP-BIT Working Papers 117, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    2. Vivien Foster & Daron Bedrosyan, 2014. "Understanding CO2 Emissions from the Global Energy Sector," World Bank Publications - Reports 17143, The World Bank Group.
    3. Ali, H. & Sanjaya, S. & Suryadi, B. & Weller, S.R., 2017. "Analysing CO2 emissions from Singapore's electricity generation sector: Strategies for 2020 and beyond," Energy, Elsevier, vol. 124(C), pages 553-564.
    4. Sun, J. W., 1998. "Changes in energy consumption and energy intensity: A complete decomposition model," Energy Economics, Elsevier, vol. 20(1), pages 85-100, February.
    5. Ke Wang & Yujiao Xian & Yi-Ming Wei & Zhimin Huang, 2016. "Sources of carbon productivity change: A decomposition and disaggregation analysis based on global Luenberger productivity indicator and endogenous directional distance function," CEEP-BIT Working Papers 91, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    6. Jianchang Lu & Weiguo Fan & Ming Meng, 2015. "Empirical Research on China’s Carbon Productivity Decomposition Model Based on Multi-Dimensional Factors," Energies, MDPI, vol. 8(4), pages 1-25, April.
    7. He, Jiankun & Deng, Jing & Su, Mingshan, 2010. "CO2 emission from China's energy sector and strategy for its control," Energy, Elsevier, vol. 35(11), pages 4494-4498.
    8. Yu, Yanni & Qian, Tao & Du, Limin, 2017. "Carbon productivity growth, technological innovation, and technology gap change of coal-fired power plants in China," Energy Policy, Elsevier, vol. 109(C), pages 479-487.
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