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Spatiotemporal Heterogeneities in the Impact of Chinese Digital Economy Development on Carbon Emissions

Author

Listed:
  • Qiguang An

    (School of Statistics and Mathematics, Shandong University of Finance and Economics, Jinan 250000, China)

  • Lin Zheng

    (School of Statistics and Mathematics, Shandong University of Finance and Economics, Jinan 250000, China)

  • Mu Yang

    (School of Statistics and Mathematics, Shandong University of Finance and Economics, Jinan 250000, China)

Abstract
The digital economy plays an important role in reducing the global warming process. This paper explores the spatiotemporal heterogeneity impacts of the digital economy on provincial carbon emissions and its underlying mechanisms. Initially, this paper examines the inhibitory impact of the digital economy on carbon emissions, alongside the mediating role of economic agglomeration, at a theoretical level. Subsequently, it empirically explores the quantitative associations among the digital economy, economic agglomeration, and carbon emissions by utilizing Chinese provincial panel data spanning from 2000 to 2021. This investigation employed static and dynamic spatial Durbin models as well as mediation models to analyze the interrelationships. The results firstly revealed that the digital economy notably diminishes carbon emissions, with economic agglomeration playing a significant mediating role. This conclusion remained consistent even after substituting the explanatory variables and weight matrix, modifying the sample period, and conducting other robustness tests. Secondly, the impact of the digital economy on carbon emissions exhibited spatial spillovers. Compared with the impact on the local area, the impact on neighboring provinces was found to be weaker. Thirdly, carbon emissions showed a significant “snowball” effect in the time dimension. This paper emphasizes the important role of digital technology in curbing carbon emissions, and it provides some policy insights for studying the digital economy, economic agglomeration, and carbon emissions. Furthermore, it offers valuable insight and suggestions to reduce carbon emissions and realize the goal of the “dual-carbon” strategy.

Suggested Citation

  • Qiguang An & Lin Zheng & Mu Yang, 2024. "Spatiotemporal Heterogeneities in the Impact of Chinese Digital Economy Development on Carbon Emissions," Sustainability, MDPI, vol. 16(7), pages 1-19, March.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:7:p:2810-:d:1365383
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    References listed on IDEAS

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    1. Verhoef, Erik T. & Nijkamp, Peter, 2002. "Externalities in urban sustainability: Environmental versus localization-type agglomeration externalities in a general spatial equilibrium model of a single-sector monocentric industrial city," Ecological Economics, Elsevier, vol. 40(2), pages 157-179, February.
    2. Wang, Jianda & Dong, Kangyin & Sha, Yezhou & Yan, Cheng, 2022. "Envisaging the carbon emissions efficiency of digitalization: The case of the internet economy for China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    3. Sergey Kichko, 2020. "Competition, land prices and city size [Gravity redux: estimation of gravity-equation coefficients, elasticities of substitution, and general equilibrium comparative statics under asymmetric bilate," Journal of Economic Geography, Oxford University Press, vol. 20(6), pages 1313-1329.
    4. Chenhui Ding & Chao Liu & Chuiyong Zheng & Feng Li, 2021. "Digital Economy, Technological Innovation and High-Quality Economic Development: Based on Spatial Effect and Mediation Effect," Sustainability, MDPI, vol. 14(1), pages 1-21, December.
    5. Feng Lan & Chengcai Jiao & Guoying Deng & Huili Da, 2021. "Urban agglomeration, housing price, and space–time spillover effect—Empirical evidences based on data from hundreds of cities in China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(4), pages 898-919, June.
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    Cited by:

    1. Wang, Lei & Ramsey, Thomas Stephen, 2024. "Digital divide and environmental pressure: A countermeasure on the embodied carbon emissions in FDI," Technological Forecasting and Social Change, Elsevier, vol. 204(C).

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