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Impact of economic growth and labor productivity dispersion on energy intensity in China

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  • Zhang, Hongyan
  • Chen, Suisui
  • Wang, Shuhong

Abstract

This paper quantitatively measures the labor productivity dispersion index of 30 provincial-level political regions (excluding Tibet) in mainland China from 2006 to 2018 based on industrial employment and output share data. Based on clarifying each region's economic variability, a spatial panel model is used to examine regional economic growth and labor productivity dispersions' effects on energy intensity. It was found that energy intensity in China is significantly spatially correlated. There is a clear gap between the share of output and the share of employment in China's three industries where labor productivity has deviated. The highest index of labor productivity dispersion is found in the western region, followed by the central region, with the lowest in the eastern region. Although, China's economic growth has had a significant negative impact on energy intensity, the current stage of China's economic development model is able to gradually achieve efficient energy use. However, the dispersion of labor productivity is not conducive to the improvement of energy factor allocation efficiency, and rationalization of industrial structure and employment structure transformation are urgently needed. To control energy intensity, China should actively adjust the current labor productivity dispersion; promote the transfer of primary industry labor to secondary and tertiary industries; strengthen control mechanisms for energy prices; optimize the impact of investment activities on energy intensity; and improve energy efficiency.

Suggested Citation

  • Zhang, Hongyan & Chen, Suisui & Wang, Shuhong, 2022. "Impact of economic growth and labor productivity dispersion on energy intensity in China," Energy, Elsevier, vol. 242(C).
    • Handle: RePEc:eee:energy:v:242:y:2022:i:c:s0360544221032539
    DOI: 10.1016/j.energy.2021.123004
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    1. Deichmann, Uwe & Reuter, Anna & Vollmer, Sebastian & Zhang, Fan, 2019. "The relationship between energy intensity and economic growth: New evidence from a multi-country multi-sectorial dataset," World Development, Elsevier, vol. 124(C), pages 1-1.
    2. Yusaku Nishimura, 2020. "New normal and new economy: a new growth engine for China," International Journal of Economic Policy Studies, Springer, vol. 14(2), pages 301-312, August.
    3. Aydin, Celil & Esen, Ömer, 2018. "Does the level of energy intensity matter in the effect of energy consumption on the growth of transition economies? Evidence from dynamic panel threshold analysis," Energy Economics, Elsevier, vol. 69(C), pages 185-195.
    4. Guevara, Zeus & Domingos, Tiago, 2017. "Three-level decoupling of energy use in Portugal 1995–2010," Energy Policy, Elsevier, vol. 108(C), pages 134-142.
    5. Mr. Sakai Ando & Koffie Ben Nassar, 2017. "Indexing Structural Distortion: Sectoral Productivity, Structural Change and Growth," IMF Working Papers 2017/205, International Monetary Fund.
    6. Huang, Junbing & Lai, Yali & Hu, Hanlei, 2020. "The effect of technological factors and structural change on China's energy intensity: Evidence from dynamic panel models," China Economic Review, Elsevier, vol. 64(C).
    7. Ju, Keyi & Su, Bin & Zhou, Dequn & Wu, Junmin, 2017. "Does energy-price regulation benefit China's economy and environment? Evidence from energy-price distortions," Energy Policy, Elsevier, vol. 105(C), pages 108-119.
    8. Díaz, Antonia & Marrero, Gustavo A. & Puch, Luis A. & Rodríguez, Jesús, 2019. "Economic growth, energy intensity and the energy mix," Energy Economics, Elsevier, vol. 81(C), pages 1056-1077.
    9. Zhao, Xin & Shang, Yuping & Song, Malin, 2020. "Industrial structure distortion and urban ecological efficiency from the perspective of green entrepreneurial ecosystems," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    10. Pan, Xiongfeng & Uddin, Md. Kamal & Han, Cuicui & Pan, Xianyou, 2019. "Dynamics of financial development, trade openness, technological innovation and energy intensity: Evidence from Bangladesh," Energy, Elsevier, vol. 171(C), pages 456-464.
    11. Inna Fedulova & Olga Yurievna Voronkova & Pavel Zhuravlev & Elena Gerasimova & Maria Glyzina & Natalia Andreevna Alekhina, 2019. "Labor productivity and its role in the sustainable development of economy: on the example of a region," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(2), pages 1059-1073, December.
    12. Liu, Haomin & Zhang, Zaixu & Zhang, Tao & Wang, Liyang, 2020. "Revisiting China’s provincial energy efficiency and its influencing factors," Energy, Elsevier, vol. 208(C).
    13. Wang, Zhibao & Zhao, Nana & Wei, Wendong & Zhang, Qianwen, 2021. "A differentiated energy Kuznets curve: Evidence from mainland China," Energy, Elsevier, vol. 214(C).
    14. Wei, Wei & Zhang, Wan-Li & Wen, Jun & Wang, Jun-Sheng, 2020. "TFP growth in Chinese cities: The role of factor-intensity and industrial agglomeration," Economic Modelling, Elsevier, vol. 91(C), pages 534-549.
    15. Shi, Xiaohui & Chu, Junhui & Zhao, Changyi, 2021. "Exploring the spatiotemporal evolution of energy intensity in China by visual technology of the GIS," Energy, Elsevier, vol. 228(C).
    16. Khan, Irfan & Hou, Fujun & Irfan, Muhammad & Zakari, Abdulrasheed & Le, Hoang Phong, 2021. "Does energy trilemma a driver of economic growth? The roles of energy use, population growth, and financial development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    17. Riccardo Pariboni & Pasquale Tridico, 2020. "Structural change, institutions and the dynamics of labor productivity in Europe," Journal of Evolutionary Economics, Springer, vol. 30(5), pages 1275-1300, November.
    18. Wu, Ya & Zhu, Qianwen & Zhu, Bangzhu, 2018. "Comparisons of decoupling trends of global economic growth and energy consumption between developed and developing countries," Energy Policy, Elsevier, vol. 116(C), pages 30-38.
    19. Baz, Khan & Xu, Deyi & Ampofo, Gideon Minua Kwaku & Ali, Imad & Khan, Imran & Cheng, Jinhua & Ali, Hashmat, 2019. "Energy consumption and economic growth nexus: New evidence from Pakistan using asymmetric analysis," Energy, Elsevier, vol. 189(C).
    20. Ouyang, Xiaoling & Wei, Xiaoyun & Sun, Chuanwang & Du, Gang, 2018. "Impact of factor price distortions on energy efficiency: Evidence from provincial-level panel data in China," Energy Policy, Elsevier, vol. 118(C), pages 573-583.
    21. Voskoboynikov, Ilya B., 2017. "Sources of long run economic growth in Russia before and after the global financial crisis," Russian Journal of Economics, Elsevier, vol. 3(4), pages 348-365.
    22. Guelpa, Elisa & Bischi, Aldo & Verda, Vittorio & Chertkov, Michael & Lund, Henrik, 2019. "Towards future infrastructures for sustainable multi-energy systems: A review," Energy, Elsevier, vol. 184(C), pages 2-21.
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