4.7 Article

Total factor energy efficiency in Chinese manufacturing industry under industry and regional heterogeneities

Journal

RESOURCES CONSERVATION AND RECYCLING
Volume 168, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.resconrec.2020.105255

Keywords

Total factor energy efficiency; Chinese manufacturing industry; Dual heterogeneity; Three-level meta-frontier SBM

Funding

  1. National Natural Science Foundation of China [71601064, 72071067, 71601062, 71871081, 71801067, 71971072, 71871022, 71828401]
  2. Major Project of the National Social Science Foundation of China [18ZDA064]
  3. Fok Ying Tung Education Foundation [161076]
  4. Joint Development Program of Beijing Municipal Commission of Education
  5. National Program for Support of Top-notch Young Professionals

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The study found that the energy efficiency of Chinese manufacturing industry is generally low and is mainly affected by management inefficiency. Dual heterogeneity deeply affects the technology gap rate, with industry heterogeneity causing a larger impact. Enterprise scale, foreign direct investment, economy development level, and industrial structure have a positive impact on energy efficiency.
At present, there are serious problems of excessive energy consumption and carbon emissions in Chinese manufacturing industry. To solve these problems, it is of great importance to measure and improve total factor energy efficiency reasonably. At the same time, Chinese manufacturing industry differs significantly in various sub-sectors and regions, which means the prevalence of dual heterogeneity. Such strong heterogeneities can have a significant impact on the accurate measurement of total factor energy efficiency. However, it is unfortunately neglected in existing studies. In this paper, we empirically analyze the total factor energy efficiency of 19 Chinese manufacturing sub-sectors in 9 provinces from 2001 to 2011 and further analyzes its influencing factors from the perspective of the dual heterogeneity. To model industry and regional heterogeneities, we propose a three-level meta-frontier slacks-based measure (SBM) approach based on data envelopment analysis (DEA). The results show that: (1) The energy efficiency of Chinese manufacturing industry is generally low, and varies significantly across different industries and regions. Moreover, the energy inefficiency mainly comes from management inefficiency; (2) The dual heterogeneity affects the technology gap rate (TGR) deeply. The technology gap rate caused by industry heterogeneity (ITGR) is larger than that caused by regional heterogeneity (RTGR); (3) Enterprise scale, foreign direct investment, economy development level and industrial structure affect energy efficiency positively, while energy consumption structure and energy price affect energy efficiency negatively. In response to the above research findings, some policy recommendations are put forward in the end.

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