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The Impact of the Digital Economy on the Urban Total-Factor Energy Efficiency: Evidence from 275 Cities in China

Author

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  • Senhua Huang

    (Department of Economics, School of Business, Hunan University of Science and Technology, Xiangtan 411201, China
    Department of International Economics and Trade, School of Economics and Management, Shaoyang University, Shaoyang 422000, China)

  • Lingming Chen

    (Department of Economics and Statistics, School of Economics and Management, Xinyu University, Xinyu 338004, China)

Abstract

The widespread application of new-generation information technology, such as big data and artificial intelligence, has promoted the development of economic and technological transformation and the deep integration of digital and real economies. The digital economy is an essential force of China in the new era and it is promoting China’s economic development in a high-quality way. In this study, we theoretically describe the mechanism of the digital economy that affects total-factor energy efficiency and empirically analyze the impact of digital economy development on total-factor energy efficiency using data from 275 cities at the prefecture level and above in China from 2011 to 2019. We found that the digital economy has significantly improved total-factor energy efficiency. We used instrumental variable estimation and the replacement of explanatory variables to test the robustness of our results, finding that our conclusions were valid. Technological innovation, industrial structure optimization, and resource misallocation improvement are the channels through which the digital economy affects total-factor energy efficiency. Resource misallocation at the city level as the intermediary variable was this paper’s research gap. Further research showed that the improvement effect of the total-factor energy efficiency in eastern regions and megacities was more evident under the influence of the digital economy. All regions in China should combine their resource endowments to further release the dividends of the digital economy, enabling it to best promote total-factor energy efficiency. The relevant departments of the government should also stimulate market demand and promote the deep integration and balanced development of the digital economy and energy industry in low-energy-efficiency cities.

Suggested Citation

  • Senhua Huang & Lingming Chen, 2023. "The Impact of the Digital Economy on the Urban Total-Factor Energy Efficiency: Evidence from 275 Cities in China," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3195-:d:1063362
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    References listed on IDEAS

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    1. Senhua Huang & Feng Han & Lingming Chen, 2023. "Can the Digital Economy Promote the Upgrading of Urban Environmental Quality?," IJERPH, MDPI, vol. 20(3), pages 1-21, January.
    2. Gao, Da & Li, Ge & Yu, Jiyu, 2022. "Does digitization improve green total factor energy efficiency? Evidence from Chinese 213 cities," Energy, Elsevier, vol. 247(C).
    3. Zhu, Bangzhu & Zhang, Mengfan & Zhou, Yanhua & Wang, Ping & Sheng, Jichuan & He, Kaijian & Wei, Yi-Ming & Xie, Rui, 2019. "Exploring the effect of industrial structure adjustment on interprovincial green development efficiency in China: A novel integrated approach," Energy Policy, Elsevier, vol. 134(C).
    4. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    5. 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.
    6. Liu, Haomin & Zhang, Zaixu & Zhang, Tao & Wang, Liyang, 2020. "Revisiting China’s provincial energy efficiency and its influencing factors," Energy, Elsevier, vol. 208(C).
    7. Shuaitao Jiao & Qiubi Sun, 2021. "Digital Economic Development and Its Impact on Econimic Growth in China: Research Based on the Prespective of Sustainability," Sustainability, MDPI, vol. 13(18), pages 1-19, September.
    8. Jinqi Su & Ke Su & Shubin Wang, 2021. "Does the Digital Economy Promote Industrial Structural Upgrading?—A Test of Mediating Effects Based on Heterogeneous Technological Innovation," Sustainability, MDPI, vol. 13(18), pages 1-24, September.
    9. Zhichuan Zhu & Bo Liu & Zhuoxi Yu & Jianhong Cao, 2022. "Effects of the Digital Economy on Carbon Emissions: Evidence from China," IJERPH, MDPI, vol. 19(15), pages 1-21, August.
    10. Wei Qian & Huan Liu & Fanghui Pan, 2022. "Digital Economy, Industry Heterogeneity, and Service Industry Resource Allocation," Sustainability, MDPI, vol. 14(13), pages 1-18, June.
    11. Jonas Hjort & Jonas Poulsen, 2019. "The Arrival of Fast Internet and Employment in Africa," American Economic Review, American Economic Association, vol. 109(3), pages 1032-1079, March.
    12. Roman Chinoracky & Tatiana Corejova, 2021. "How to evaluate the digital economy scale and potential?," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(4), pages 536-552, June.
    13. Tang, Liwei & He, Gang, 2021. "How to improve total factor energy efficiency? An empirical analysis of the Yangtze River economic belt of China," Energy, Elsevier, vol. 235(C).
    14. Qi Jiang & Jizhi Li & Hongyun Si & Yangyue Su, 2022. "The Impact of the Digital Economy on Agricultural Green Development: Evidence from China," Agriculture, MDPI, vol. 12(8), pages 1-22, July.
    15. Hao, Yu & Gai, Zhiqiang & Wu, Haitao, 2020. "How do resource misallocation and government corruption affect green total factor energy efficiency? Evidence from China," Energy Policy, Elsevier, vol. 143(C).
    16. Wu, Haitao & Hao, Yu & Ren, Siyu & Yang, Xiaodong & Xie, Guo, 2021. "Does internet development improve green total factor energy efficiency? Evidence from China," Energy Policy, Elsevier, vol. 153(C).
    17. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    18. Yi, Ming & Liu, Yafen & Sheng, Mingyue Selena & Wen, Le, 2022. "Effects of digital economy on carbon emission reduction: New evidence from China," Energy Policy, Elsevier, vol. 171(C).
    19. Xuan Chang & Jinye Li, 2022. "Effects of the Digital Economy on Carbon Emissions in China: A Spatial Durbin Econometric Analysis," Sustainability, MDPI, vol. 14(24), pages 1-20, December.
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    3. Meiling Li & Lijie Zhang & Zhuangzhuang Zhang, 2023. "Impact of Digital Economy on Inter-Regional Trade: An Empirical Analysis in China," Sustainability, MDPI, vol. 15(15), pages 1-22, August.

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