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Evaluating the energy efficiency-enhancing potential of the digital economy: Evidence from China

Author

Listed:
  • Malin Song

    (School of Statistics and Applied Mathematics, Anhui University of Finance & Economics, Bengbu)

  • Heting Pan

    (School of Statistics and Applied Mathematics, Anhui University of Finance & Economics, Bengbu)

  • Michael Vardanyan

    (LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

  • Zhiyang Shen

    (LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique, IÉSEG School Of Management [Puteaux])

Abstract

Improving energy efficiency can go a long way in helping China address environmental problems it currently faces and help deliver on its pledge of achieving carbon neutrality by 2060. At the same time, innovative production technologies based on digital solutions continue to attract significant attention, owing to their potential to provide environmentally sustainable development opportunities. This study explores whether the digital economy can improve energy efficiency by facilitating input reallocation and promoting better information flows. We rely on a panel of 285 Chinese cities for the period 2010–2019 and a so-called slacks-based efficiency measure incorporating socially undesirable outputs to obtain energy efficiency from the decomposition of a productivity index. Our estimation results demonstrate that the digital economy can promote better energy use efficiency. More specifically, a 1-percentage point increase in the size of the digital economy leads to an average increase of around 14.65 percentage points in energy efficiency. This conclusion still holds under a two-stage least-squares procedure used to mitigate endogeneity. The efficiency-enhancing impact of digitalization is heterogeneous and depends on factors such as resource endowment, city size, and geographical location. Additionally, our results suggest that digital transformation within a particular region has an adverse effect on energy efficiency in that region's neighboring areas due to negative spatial spillover effects. These negative spillovers outweigh the positive direct effect on energy efficiency that can be attributed to a growing digital economy.

Suggested Citation

  • 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.
  • Handle: RePEc:hal:journl:hal-04277444
    DOI: 10.1016/j.jenvman.2023.118408
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    Cited by:

    1. Song, Malin & Pan, Heting & Shen, Zhiyang & Tamayo-Verleene, Kristine, 2024. "Assessing the influence of artificial intelligence on the energy efficiency for sustainable ecological products value," Energy Economics, Elsevier, vol. 131(C).
    2. Wang, Jie & Wang, Jun, 2024. "“Booster” or “Obstacle”: Can digital transformation improve energy efficiency? Firm-level evidence from China," Energy, Elsevier, vol. 296(C).
    3. Liu, Qingfang & Jiang, Huaxiong & Li, Jianmei & Song, Jinping & Zhang, Xiantian, 2024. "Antidote or poison? Digital economy and land-use," Land Use Policy, Elsevier, vol. 139(C).

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