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Allocation Efficiency and Shadow Prices of Energy Inputs in China: A Multi-Energy Approach

Author

Listed:
  • Ziye Cheng

    (School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
    These authors contributed equally to this work.)

  • Dan Wu

    (School of Environmental Science and Engineering, Hainan University, Haikou 570228, China
    Hainan University-UC Davis Joint Research Center on Energy and Transportation, Hainan University, Haikou 570228, China
    These authors contributed equally to this work.)

  • Li Liu

    (School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
    Guangdong Provincial Key Laboratory of Solid Wastes Pollution Control and Recycling, South China University of Technology, Guangzhou 510006, China
    The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education, South China University of Technology, Guangzhou 510006, China)

  • Pingjian Yang

    (Chinese Research Academy of Environmental Sciences, Beijing 100012, China)

  • Wenjun Xiao

    (School of Environment and Energy, South China University of Technology, Guangzhou 510006, China)

  • Yuan Li

    (School of Environment and Energy, South China University of Technology, Guangzhou 510006, China)

Abstract

Enhancing energy efficiency is a critical pathway for China’s achievement of carbon peaking and carbon neutrality goals while maintaining economic growth. The deviation between actual factor prices and shadow prices is a major source of low total factor energy efficiency. Therefore, evaluating the allocative efficiency of production factors, including energy, should be addressed. In consideration of China’s energy endowment, energy transition, and unbalanced sustainability of various energy sources, this study adopts a stochastic frontier model with a generalized cost function to measure the allocative inefficiency of coal, oil, natural gas, and electricity and heat in China. The results indicate the following: (1) From 2005 to 2022, both technical efficiency and energy factor allocative efficiency remained below 1 at the provincial level, while technical efficiency declined gradually and allocative efficiency exhibited an upward spiral trend. (2) Labor, coal, oil, natural gas, and electricity and heat are found to be overutilized relative to capital; moreover, except for capital, all other factors are excessively employed relative to electricity and heat. (3) Setting capital factors as standardization factors, the shadow prices of coal, oil, natural gas, and electricity and heat are all higher than the actual prices. This indicates that China can reasonably allocate factors through full market competition and government regulation, thereby improving energy utilization efficiency.

Suggested Citation

  • Ziye Cheng & Dan Wu & Li Liu & Pingjian Yang & Wenjun Xiao & Yuan Li, 2026. "Allocation Efficiency and Shadow Prices of Energy Inputs in China: A Multi-Energy Approach," Sustainability, MDPI, vol. 18(13), pages 1-31, July.
  • Handle: RePEc:gam:jsusta:v:18:y:2026:i:13:p:6638-:d:1980047
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