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

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  • Liang Nie and 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 and ZhongXiang Zhang, 2022. "Market Segmentation and Energy Efficiency: Evidence from China's Regional Economies," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6).
    • Handle: RePEc:aen:journl:ej43-6-zhang
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    Cited by:

    1. Liu, Jie & Wu, Chonglin & Zheng, Wanqing & Lin, Gengyan, 2023. "Monitor or manipulator? The effect of institutional ownership on market manipulation," Finance Research Letters, Elsevier, vol. 58(PB).
    2. Qin, Quande & Yu, Ying & Liu, Yuan & Zhou, Jianqing & Chen, Xiude, 2023. "Industrial agglomeration and energy efficiency: A new perspective from market integration," Energy Policy, Elsevier, vol. 183(C).
    3. Li, Ke & Xu, Chang & Tang, Liwei, 2024. "The important of eliminating energy market distortions: The perspective of industrial green productivity," Energy Economics, Elsevier, vol. 132(C).
    4. He, Ruofan & Wan, Panbing, 2024. "Electricity market integration in China: The role of government officials’ hometown ties," Energy, Elsevier, vol. 303(C).
    5. Xiong, Yongqing & Cheng, Qian, 2023. "Effects of new energy vehicle adoption on provincial energy efficiency in China: From the perspective of regional imbalances," Energy, Elsevier, vol. 281(C).
    6. Huang, Ruting & Yao, Xin, 2024. "City size and energy efficiency of Chinese manufacturing firms: An empirical study from a city characteristic perspective," Energy Economics, Elsevier, vol. 129(C).

    More about this item

    JEL classification:

    • F0 - International Economics - - General

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