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Impact of Technological Progress and Industrial Structure Distortion on Energy Intensity in China

Author

Listed:
  • Shen Xiaobo

    (School of Economics, Xiamen University and China Center for Energy Economics Research Xiamen China)

  • Chen Yu

    (School of Management, Xiamen University and China Institute for Studies in Energy Policy Xiamen China)

  • Lin Boqiang

    (School of Management, Xiamen University and China Institute for Studies in Energy Policy Xiamen China)

Abstract

The paper measures the industrial structure distortion (ISD) index by region in China from 1978 to 2016 using data on employment and output shares of the three industries. It also analyzes the impact of ISDs by region on energy intensity using a spatial panel model. The results show that since the reform and opening up, the ISD index by region has declined significantly, with the lowest index in the eastern region, the medium one in the central region and the highest in the western region. The estimated results of the spatial econometric model indicate that there is a significant inter-regional dependence of energy intensity in China; there is a significant indirect effect of ISD, despite no significant direct effect on energy intensity; in terms of total effect, ISD is an important factor inhibiting the decline of energy intensity. The results also unveil that higher energy prices and foreign trade are positive factors declining energy intensity, while FDI worsens energy intensity and R&D spending has no significant positive impact on curbing energy intensity. In order to reduce energy intensity, China should work to eliminate the micro cause of ISDs, promote the transfer of agricultural labor, establish a market-oriented mechanism for energy price formation, and enhance the efficiency of R&D spending.

Suggested Citation

  • Shen Xiaobo & Chen Yu & Lin Boqiang, 2021. "Impact of Technological Progress and Industrial Structure Distortion on Energy Intensity in China," China Finance and Economic Review, De Gruyter, vol. 10(3), pages 25-46, November.
    • Handle: RePEc:bpj:cferev:v:10:y:2021:i:3:p:25-46:n:2
    DOI: 10.1515/cfer-2021-0015
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    Citations

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    Cited by:

    1. Hongze Liang & Xiaoli Hao, 2023. "Can Service Trade Effectively Promote Carbon Emission Reduction?—Evidence from China," Sustainability, MDPI, vol. 15(17), pages 1-23, August.
    2. Lu Zhang & Jiakui Chen & Ziyi Liu & Zhiyuan Hao, 2023. "Digital Inclusive Finance, Financing Constraints, and Technological Innovation of SMEs—Differences in the Effects of Financial Regulation and Government Subsidies," Sustainability, MDPI, vol. 15(9), pages 1-20, April.
    3. Li Guo & Min Tang, 2024. "How Does Digital Transformation Improve Corporate Carbon Emission Reduction Performance? An Empirical Study on Data from Listed Companies in China," Sustainability, MDPI, vol. 16(8), pages 1-21, April.
    4. Xu Yang & Xuan Zou & Ming Li & Zeyu Wang, 2024. "The Decarbonization Effect of the Urban Polycentric Structure: Empirical Evidence from China," Land, MDPI, vol. 13(2), pages 1-17, February.
    5. Lin, Boqiang & Teng, Yuqiang, 2023. "The effect of industrial synergy and division on energy intensity: From the perspective of industrial chain," Energy, Elsevier, vol. 283(C).
    6. Xiaoliang Xu & Rong Huang & Han Cai, 2024. "The Impacts on Regional Development and “Resource Curse” by Energy Substitution Policy: Verification from China," Energies, MDPI, vol. 17(17), pages 1-16, September.
    7. Zhou, Di & Hu, Yanning & Xie, Dongchun & Sun, Qiong, 2023. "Land resource mismatch and energy efficiency: Evidence from 243 cities in China," Energy Policy, Elsevier, vol. 183(C).

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