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Research on meta-frontier total-factor energy efficiency and its spatial convergence in Chinese provinces

Author

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  • Cheng, Zhonghua
  • Liu, Jun
  • Li, Lianshui
  • Gu, Xinbei
Abstract
Based on the non-radial directional distance function of the Data Envelopment Analysis model, this paper uses the meta-frontier method to measure the total-factor energy efficiency of 30 provinces in China from 1997 to 2016. We then incorporate spatial correlation into the traditional convergence test model, study the spatial convergence of energy efficiency and explore the reasons for regional differences in energy efficiency. The results show that total-factor energy efficiency has significant regional heterogeneity, with the largest in the Eastern region, the second in the Central region and the smallest in the Western region. The root cause of energy inefficiency in China is poor management. As regional technology levels improve, the proportion of energy inefficiency due to management inefficiency slowly increases, while the proportion due to technology gap inefficiency gradually decreases. The total-factor energy efficiency has absolute β convergence and conditional β convergence within the three regions, but there is no absolute β convergence or conditional β convergence at the national level. This is mainly because the technology gap ratio between the Central and Western regions and the Eastern region has been gradually expanding. Not only do different factors have different effects on the convergence of energy efficiency but there are also significant differences within these three regions.

Suggested Citation

  • Cheng, Zhonghua & Liu, Jun & Li, Lianshui & Gu, Xinbei, 2020. "Research on meta-frontier total-factor energy efficiency and its spatial convergence in Chinese provinces," Energy Economics, Elsevier, vol. 86(C).
    • Handle: RePEc:eee:eneeco:v:86:y:2020:i:c:s0140988320300414
    DOI: 10.1016/j.eneco.2020.104702
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    More about this item

    Keywords

    Energy efficiency; Super-efficiency; Meta-frontier; Convergence analysis; Spatial correlation;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • O44 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Environment and Growth
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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