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Driving Green Transformation Through the National Digital Economy Innovation Pilot: A Quasi-Experimental Study on Reducing Urban Energy Intensity in 282 Chinese Cities

Author

Listed:
  • Shoufu Lin

    (School of Economics, Fujian Normal University, No. 8 Xuefu South Road, Shangjie Town, Minhou County, Fuzhou 350117, China)

  • Quan Lin

    (School of Economics, Fujian Normal University, No. 8 Xuefu South Road, Shangjie Town, Minhou County, Fuzhou 350117, China)

  • Qian Wang

    (School of Economics, Management and Law, University of South China, Hengyang 421001, China)

  • Chenyong Shi

    (School of Business, University of Leicester, Brookfield, Leicester LE2 1RQ, UK)

  • Marcel Ausloos

    (School of Business, University of Leicester, Brookfield, Leicester LE2 1RQ, UK
    Group of Researchers Applying Physics in Economy and Sociology (GRAPES), Beauvallon, B-4031 Angleur, Belgium
    Babes-Bolyai University, Str. Mihail Kogălniceanu 1, 400084 Cluj-Napoca, Romania
    Department of Statistics and Econometrics, Bucharest University of Economic Studies, 15–17 Dorobanti Avenue, District 1, 010552 Bucharest, Romania)

Abstract

Drawing upon a quasi-natural experiment, this research investigates the influence of China’s National Digital Economy Innovation Development Pilot Policy on urban energy intensity. By examining a sample of 282 Chinese cities with the difference in differences (DID) approach, the findings provide robust empirical support for the proposition that digital economy pilot policies substantially reduce urban energy intensity. Furthermore, the policy’s effectiveness in lowering urban energy intensity differs across cities with varying administrative levels and population scales. The results suggest that the policy’s impact is more pronounced in ordinary cities (non-provincial capitals/municipalities) and in those with smaller populations. An examination of the underlying mechanisms reveals three principal pathways through which the policy affects energy consumption: (1) digital economic development, which promotes optimal resource allocation and enhanced energy intensity; (2) technological innovation, driving advances in green technologies and supporting sustainable industrial upgrades; and (3) economic agglomeration, which leverages economies of scale and industrial clustering to bolster energy efficiency. The conclusions underscore the necessity of expanding digital economy pilot zones, strengthening investments in digital infrastructure, and fostering greater technological innovation to sustain improvements in energy efficiency and environmental performance.

Suggested Citation

  • Shoufu Lin & Quan Lin & Qian Wang & Chenyong Shi & Marcel Ausloos, 2025. "Driving Green Transformation Through the National Digital Economy Innovation Pilot: A Quasi-Experimental Study on Reducing Urban Energy Intensity in 282 Chinese Cities," Sustainability, MDPI, vol. 17(13), pages 1-21, June.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:13:p:5687-:d:1683690
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    1. Xin, Yongrong & Song, Hang & Shen, Zhiyang & Wang, Jiangquan, 2023. "Measurement of the integration level between the digital economy and industry and its impact on energy consumption," Energy Economics, Elsevier, vol. 126(C).
    2. Birol, Fatih & Keppler, Jan Horst, 2000. "Prices, technology development and the rebound effect," Energy Policy, Elsevier, vol. 28(6-7), pages 457-469, June.
    3. Paunov, Caroline & Rollo, Valentina, 2016. "Has the Internet Fostered Inclusive Innovation in the Developing World?," World Development, Elsevier, vol. 78(C), pages 587-609.
    4. Hong, Qianqian & Cui, Linhao & Hong, Penghui, 2022. "The impact of carbon emissions trading on energy efficiency: Evidence from quasi-experiment in China's carbon emissions trading pilot," Energy Economics, Elsevier, vol. 110(C).
    5. Gene M. Grossman & Alan B. Krueger, 1995. "Economic Growth and the Environment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 353-377.
    6. Hausman, Jerry & Kuersteiner, Guido, 2008. "Difference in difference meets generalized least squares: Higher order properties of hypotheses tests," Journal of Econometrics, Elsevier, vol. 144(2), pages 371-391, June.
    7. Song, Shuxin & Wen, Jun & Li, Yan & Li, Lingxiao, 2024. "How does digital economy affect green technological innovation in China? New evidence from the “Broadband China” policy," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1093-1112.
    8. Lee, Chien-Chiang & Wang, Fuhao, 2022. "How does digital inclusive finance affect carbon intensity?," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 174-190.
    9. Yuan, Huaxi & Feng, Yidai & Lee, Chien-Chiang & Cen, Yan, 2020. "How does manufacturing agglomeration affect green economic efficiency?," Energy Economics, Elsevier, vol. 92(C).
    10. C de Chaisemartin & X D’HaultfŒuille, 2018. "Fuzzy Differences-in-Differences," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(2), pages 999-1028.
    11. Jiao, Jianling & Song, Jiangfeng & Ding, Tao, 2024. "The impact of synergistic development of renewable energy and digital economy on energy intensity: Evidence from 33 countries," Energy, Elsevier, vol. 295(C).
    12. Liqun Pan & Yu Zhang & Jing Li & Feng Lin, 2024. "Digital Economy and Urban Carbon Emissions: A Quasi-Natural Experiment of the National Big Data Comprehensive Pilot Zone in China," The Energy Journal, , vol. 45(6), pages 107-134, November.
    13. Wang, Rui & Luo, Hang (Robin), 2022. "How does financial inclusion affect bank stability in emerging economies?," Emerging Markets Review, Elsevier, vol. 51(PA).
    14. Qu, Chenyao & Shao, Jun & Shi, Zhenkai, 2020. "Does financial agglomeration promote the increase of energy efficiency in China?," Energy Policy, Elsevier, vol. 146(C).
    15. repec:dau:papers:123456789/10972 is not listed on IDEAS
    16. Liting Fang & Zhaohua Li, 2024. "Corporate digitalization and green innovation: Evidence from textual analysis of firm annual reports and corporate green patent data in China," Business Strategy and the Environment, Wiley Blackwell, vol. 33(5), pages 3936-3964, July.
    17. Simon Alder & Lin Shao & Fabrizio Zilibotti, 2016. "Economic reforms and industrial policy in a panel of Chinese cities," Journal of Economic Growth, Springer, vol. 21(4), pages 305-349, December.
    18. McNeil, Andrew & Barnes, Lucy, 2025. "The environment–economic growth trade-off: does support for environmental protection depend on its economic consequences?," Ecological Economics, Elsevier, vol. 230(C).
    19. Ma, Qiang & Tariq, Muhammad & Mahmood, Haider & Khan, Zeeshan, 2022. "The nexus between digital economy and carbon dioxide emissions in China: The moderating role of investments in research and development," Technology in Society, Elsevier, vol. 68(C).
    20. Huang, Junbing & Wang, Yajun & Luan, Bingjiang & Zou, Hong & Wang, Jun, 2023. "The energy intensity reduction effect of developing digital economy: Theory and empirical evidence from China," Energy Economics, Elsevier, vol. 128(C).
    21. Guo, Qingbin & Wang, Yong & Dong, Xiaobin, 2022. "Effects of smart city construction on energy saving and CO2 emission reduction: Evidence from China," Applied Energy, Elsevier, vol. 313(C).
    22. Cheng, Manli & Wang, Junbo & Yang, Shanlin & Li, Qiang, 2024. "The driving effect of technological innovation on green development: From the perspective of efficiency," Energy Policy, Elsevier, vol. 188(C).
    23. Xue, Yan & Tang, Chang & Wu, Haitao & Liu, Jianmin & Hao, Yu, 2022. "The emerging driving force of energy consumption in China: Does digital economy development matter?," Energy Policy, Elsevier, vol. 165(C).
    24. Kingsley Ukoba & Kehinde O. Olatunji & Eyitayo Adeoye & Tien-Chien Jen & Daniel M. Madyira, 2024. "Optimizing renewable energy systems through artificial intelligence: Review and future prospects," Energy & Environment, , vol. 35(7), pages 3833-3879, November.
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