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How does the digital economy affect urban CO2 emissions? Mechanism discussion and empirical test

Author

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  • Ya Wu

    (Jinan University
    Jinan University
    Jinan University)

  • Yin Liu

    (Jinan University)

Abstract

China is in the midst of a transition to a digital economy (DE), where information technology will be the main driver of production. China’s potential to meet its “30.60” commitment on time is correlated with the impact of DE on urban CO2 emissions. With a focus on 279 cities between 2011 and 2019, this study employs the fixed-effect model and the intermediary effect model to experimentally analyze the effects and mechanism of the DE on CO2 emissions. The results illustrate that: (1) The U-shaped nexus of DE and CO2 emissions holds after endogeneity control and robustness tests. (2) The mechanism test discovered that the major reasons for the “U” constraints are industrial structure modification and energy efficiency. CO2 emissions can be greatly decreased by upgrading and rationalizing the industrial structure; later on, CO2 emissions rise as a result of the “energy rebound effect.” (3) According to quantile regression, areas with lower CO2 emissions have less room in their industrial structure for reducing CO2 emissions. As a result, energy structure adjustment must happen to avoid “energy rebound,” which would increase CO2 emissions. Concerning the influence, mechanism, and geographical variations in DE growth on the low-carbon urban transformation, this study offers insightful implications.

Suggested Citation

  • Ya Wu & Yin Liu, 2025. "How does the digital economy affect urban CO2 emissions? Mechanism discussion and empirical test," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(6), pages 14097-14122, June.
  • Handle: RePEc:spr:endesu:v:27:y:2025:i:6:d:10.1007_s10668-024-04502-y
    DOI: 10.1007/s10668-024-04502-y
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    References listed on IDEAS

    as
    1. Li, Mengjie & Du, Weijian, 2021. "Can Internet development improve the energy efficiency of firms: Empirical evidence from China," Energy, Elsevier, vol. 237(C).
    2. Jianda Wang & Jun Zhao & Kangyin Dong & Xiucheng Dong, 2023. "How does the internet economy affect CO2 emissions? Evidence from China," Applied Economics, Taylor & Francis Journals, vol. 55(4), pages 447-466, January.
    3. Wang, Ying & Wang, Yong & Shahbaz, Muhammad, 2023. "How does digital economy affect energy poverty? Analysis from the global perspective," Energy, Elsevier, vol. 282(C).
    4. Malin Song & Heting Pan & Michael Vardanyan & Zhiyang Shen, 2023. "Evaluating the energy efficiency-enhancing potential of the digital economy: Evidence from China," Post-Print hal-04277444, HAL.
    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. Lin, Boqiang & Huang, Chenchen, 2023. "How will promoting the digital economy affect electricity intensity?," Energy Policy, Elsevier, vol. 173(C).
    7. Ya Wu & Yin Liu & Minglong Zhang, 2023. "How Does Digital Finance Affect Energy Efficiency?—Characteristics, Mechanisms, and Spatial Effects," Sustainability, MDPI, vol. 15(9), pages 1-24, April.
    8. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    9. Ren, Siyu & Hao, Yu & Xu, Lu & Wu, Haitao & Ba, Ning, 2021. "Digitalization and energy: How does internet development affect China's energy consumption?," Energy Economics, Elsevier, vol. 98(C).
    10. Zhang, Ning & Kong, Fanbin & Choi, Yongrok & Zhou, P., 2014. "The effect of size-control policy on unified energy and carbon efficiency for Chinese fossil fuel power plants," Energy Policy, Elsevier, vol. 70(C), pages 193-200.
    11. Zhang, Wei & Liu, Xuemeng & Wang, Die & Zhou, Jianping, 2022. "Digital economy and carbon emission performance: Evidence at China's city level," Energy Policy, Elsevier, vol. 165(C).
    12. Alam, Md. Mahmudul & Murad, Md. Wahid, 2020. "The impacts of economic growth, trade openness and technological progress on renewable energy use in organization for economic co-operation and development countries," Renewable Energy, Elsevier, vol. 145(C), pages 382-390.
    13. Zheng, Jiajia & Wang, Xingwu, 2021. "Can mobile information communication technologies (ICTs) promote the development of renewables?-evidence from seven countries," Energy Policy, Elsevier, vol. 149(C).
    14. Shoufeng Huang & Dengta Chen, 2020. "Has Environmental Regulation Restrained Smog Pollution: Evidence From China," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 65(03), pages 555-575, June.
    15. Abudureheman, Maliyamu & Jiang, Qingzhe & Dong, Xiucheng & Dong, Cong, 2022. "Spatial effects of dynamic comprehensive energy efficiency on CO2 reduction in China," Energy Policy, Elsevier, vol. 166(C).
    16. Xueyang Wang & Xiumei Sun & Haotian Zhang & Chaokai Xue, 2022. "Digital Economy Development and Urban Green Innovation CA-Pability: Based on Panel Data of 274 Prefecture-Level Cities in China," Sustainability, MDPI, vol. 14(5), pages 1-21, March.
    17. Xiaoyan Li & Jia Liu & Peijie Ni, 2021. "The Impact of the Digital Economy on CO 2 Emissions: A Theoretical and Empirical Analysis," Sustainability, MDPI, vol. 13(13), pages 1-15, June.
    18. 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).
    19. Muhammad, Sulaman & Long, Xingle & Salman, Muhammad & Dauda, Lamini, 2020. "Effect of urbanization and international trade on CO2 emissions across 65 belt and road initiative countries," Energy, Elsevier, vol. 196(C).
    20. Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.
    21. Fare, Rolf, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
    22. Wu, Haitao & Xue, Yan & Hao, Yu & Ren, Siyu, 2021. "How does internet development affect energy-saving and emission reduction? Evidence from China," Energy Economics, Elsevier, vol. 103(C).
    23. Bingjiang Luan & Hanshuo Yang & Hong Zou & Xi Yu, 2023. "The impact of the digital economy on inter-city carbon transfer in China using the life cycle assessment model," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    24. Ma, Ruiyang & Lin, Boqiang, 2023. "Digitalization and energy-saving and emission reduction in Chinese cities: Synergy between industrialization and digitalization," Applied Energy, Elsevier, vol. 345(C).
    25. Xiao, Bowen & Fan, Ying & Guo, Xiaodan, 2018. "Exploring the macroeconomic fluctuations under different environmental policies in China: A DSGE approach," Energy Economics, Elsevier, vol. 76(C), pages 439-456.
    26. Luan, Bingjiang & Zou, Hong & Chen, Shuxing & Huang, Junbing, 2021. "The effect of industrial structure adjustment on China’s energy intensity: Evidence from linear and nonlinear analysis," Energy, Elsevier, vol. 218(C).
    27. 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).
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