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Market Segmentation and Energy Efficiency: Evidence from China’s Regional Economies

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  • Liang Nie
  • ZhongXiang Zhang

Abstract

Existing studies have focused on the negative impact of inefficient resource allocation on energy performance in China, but neglected to explore the underlying reason for this phenomenon from the perspective of market segmentation. To fill this research gap, the epsilon-based measure model is used to estimate energy efficiency, and the measurement method of market segmentation is improved in this paper. On the basis of a theoretical hypothesis, we use fractional regression models to conduct empirical research. The results show that market segmentation has a significant negative effect on China’s energy efficiency. Additionally, this inhibitory effect is robust but heterogeneous. The impact mechanism test indicates that energy price distortion, enterprise technology innovation, and industrial agglomeration are three intermediate influence channels. Based on these analyses, we suggest that China should accelerate market-oriented reform and eliminate market segmentation in pursuit of energy-saving and emission-abating goals.

Suggested Citation

  • Liang Nie & ZhongXiang Zhang, 2022. "Market Segmentation and Energy Efficiency: Evidence from China’s Regional Economies," The Energy Journal, , vol. 43(6), pages 217-242, November.
    • Handle: RePEc:sae:enejou:v:43:y:2022:i:6:p:217-242
    DOI: 10.5547/01956574.43.6.lnie
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    References listed on IDEAS

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    1. Yang, Mian & Yang, Fuxia & Sun, Chuanwang, 2018. "Factor market distortion correction, resource reallocation and potential productivity gains: An empirical study on China's heavy industry sector," Energy Economics, Elsevier, vol. 69(C), pages 270-279.
    2. Tone, Kaoru & Tsutsui, Miki, 2010. "An epsilon-based measure of efficiency in DEA - A third pole of technical efficiency," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1554-1563, December.
    3. Papke, Leslie E. & Wooldridge, Jeffrey M., 2008. "Panel data methods for fractional response variables with an application to test pass rates," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 121-133, July.
    4. Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-632, Nov.-Dec..
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    Cited by:

    1. Lai, Aolin & Du, Qian & Wang, Qunwei, 2024. "One region's gain is another's loss: The impact of market segmentation on renewable energy development in China," Energy Policy, Elsevier, vol. 192(C).
    2. He, Ruofan & Wan, Panbing, 2024. "Electricity market integration in China: The role of government officials’ hometown ties," Energy, Elsevier, vol. 303(C).

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