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Exploring the Mediating Mechanism of Industrial Structure Adjustment in Economic Growth and Electricity Consumption: Evidence From China

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Listed:
  • Ming Meng
  • Xinxin Li
  • Tingting Pang

Abstract

Using a hierarchical regression model and China's provincial panel data from 2001 to 2022, this paper investigates the mediating mechanism of industrial structure adjustment in the relationship between economic growth and electricity consumption. Findings reveal a positive effect of economic growth on electricity consumption, with electricity consumption increasing by 0.937% for every 1% increase in real gross domestic product (GDP). Economic growth also plays a crucial role in adjusting and upgrading industrial structure, which drives local industries toward high‐value chains. Furthermore, this study identified negative mediating effects of industrial structure adjustment on electricity consumption, with a total effect size of −0.085%. Specifically, the mediating effects of rationalization, upgrading, and softening of industrial structure are −0.018%, −0.021%, and −0.046%, respectively. Finally, heterogeneity analysis indicates that the negative effect of industrial structure adjustment is stronger in the central and western regions. In light of these findings, this study offers policy implications to achieve green and low‐carbon energy transition and high‐quality economic growth.

Suggested Citation

  • Ming Meng & Xinxin Li & Tingting Pang, 2026. "Exploring the Mediating Mechanism of Industrial Structure Adjustment in Economic Growth and Electricity Consumption: Evidence From China," Australian Economic Papers, Wiley Blackwell, vol. 65(1), pages 72-82, March.
  • Handle: RePEc:bla:ausecp:v:65:y:2026:i:1:p:72-82
    DOI: 10.1111/1467-8454.70012
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    1. Justin Yifu Lin, 2011. "New Structural Economics: A Framework for Rethinking Development," The World Bank Research Observer, World Bank, vol. 26(2), pages 193-221, August.
    2. Shiu, Alice & Lam, Pun-Lee, 2004. "Electricity consumption and economic growth in China," Energy Policy, Elsevier, vol. 32(1), pages 47-54, January.
    3. Fagerberg, Jan, 2000. "Technological progress, structural change and productivity growth: a comparative study," Structural Change and Economic Dynamics, Elsevier, vol. 11(4), pages 393-411, December.
    4. Meng, Ming & Li, Xinxin, 2022. "Evaluating the direct rebound effect of electricity consumption: An empirical analysis of the provincial level in China," Energy, Elsevier, vol. 239(PB).
    5. Zhao, Jun & Jiang, Qingzhe & Dong, Xiucheng & Dong, Kangyin & Jiang, Hongdian, 2022. "How does industrial structure adjustment reduce CO2 emissions? Spatial and mediation effects analysis for China," Energy Economics, Elsevier, vol. 105(C).
    6. Yu, Shiwei & Zheng, Shuhong & Zhang, Xuejiao & Gong, Chengzhu & Cheng, Jinhua, 2018. "Realizing China's goals on energy saving and pollution reduction: Industrial structure multi-objective optimization approach," Energy Policy, Elsevier, vol. 122(C), pages 300-312.
    7. Lin, Boqiang & Huang, Chenchen, 2023. "How will promoting the digital economy affect electricity intensity?," Energy Policy, Elsevier, vol. 173(C).
    8. Li, Jianglong & Yang, Lisha & Long, Houyin, 2018. "Climatic impacts on energy consumption: Intensive and extensive margins," Energy Economics, Elsevier, vol. 71(C), pages 332-343.
    9. Wang, Xipan & Song, Junnian & Duan, Haiyan & Wang, Xian'en, 2021. "Coupling between energy efficiency and industrial structure: An urban agglomeration case," Energy, Elsevier, vol. 234(C).
    10. Wang, Lei & Wang, Xinyu & Zhao, Zhongchao, 2024. "Mid-term electricity demand forecasting using improved multi-mode reconstruction and particle swarm-enhanced support vector regression," Energy, Elsevier, vol. 304(C).
    11. Jiang, Lei & Folmer, Henk & Ji, Minhe, 2014. "The drivers of energy intensity in China: A spatial panel data approach," China Economic Review, Elsevier, vol. 31(C), pages 351-360.
    12. Sun, Shufen & Huang, Chenchen, 2021. "Energy structure evaluation and optimization in BRICS: A dynamic analysis based on a slack based measurement DEA with undesirable outputs," Energy, Elsevier, vol. 216(C).
    13. Chang-Tai Hsieh & Peter J. Klenow, 2009. "Misallocation and Manufacturing TFP in China and India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1403-1448.
    14. Xu, Guangyue & Yang, Hualiu & Schwarz, Peter, 2022. "A strengthened relationship between electricity and economic growth in China: An empirical study with a structural equation model," Energy, Elsevier, vol. 241(C).
    15. Guang, Fengtao & Wen, Le & Sharp, Basil, 2022. "Energy efficiency improvements and industry transition: An analysis of China's electricity consumption," Energy, Elsevier, vol. 244(PA).
    16. Cai, Wenbiao, 2015. "Structural change accounting with labor market distortions," Journal of Economic Dynamics and Control, Elsevier, vol. 57(C), pages 54-64.
    17. Liu, Xiaorui & Guo, Wen & Feng, Qiang & Wang, Peng, 2022. "Spatial correlation, driving factors and dynamic spatial spillover of electricity consumption in China: A perspective on industry heterogeneity," Energy, Elsevier, vol. 257(C).
    18. Shi, Changfeng & Zhao, Yi & Zhang, Chenjun & Pang, Qinghua & Chen, Qiyong & Li, Ang, 2022. "Research on the driving effect of production electricity consumption changes in the Yangtze River Economic Zone - Based on regional and industrial perspectives," Energy, Elsevier, vol. 238(PA).
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