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The impact of digital economy on renewable energy development in China

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  • Zheng, Mingbo
  • Wong, Chun Yee

Abstract

Digital economy has been the essential driving force for green development and energy transition, while the role of digital economy in the development of renewable energy remains limited. This paper explores how digital economy development alters renewable energy in China. Based on the panel data of 31 provinces and the fixed effects model, this paper finds a positive association between digital economy and renewable energy development. The digital economy exhibits a stronger positive impact on hydro energy compared to wind energy and solar energy. Local government intervention can enhance the positive association between digital economy and hydro energy development, while reducing the positive effect of digital economy on wind energy and solar energy development. We also find that digital economy produces larger promoting effects on renewable energy development in the central and western provinces compared with the eastern provinces.

Suggested Citation

  • Zheng, Mingbo & Wong, Chun Yee, 2024. "The impact of digital economy on renewable energy development in China," Innovation and Green Development, Elsevier, vol. 3(1).
    • Handle: RePEc:eee:ingrde:v:3:y:2024:i:1:s2949753123000620
    DOI: 10.1016/j.igd.2023.100094
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    Cited by:

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    2. Dong, Kangyin & Liu, Yang & Wang, Jianda & Dong, Xiucheng, 2024. "Is the digital economy an effective tool for decreasing energy vulnerability? A global case," Ecological Economics, Elsevier, vol. 216(C).
    3. Liu, Yutong & Zheng, Mingbo & Shum, Wai Yan, 2024. "On the linkages between digital finance and real economy in China: A cointegration analysis," Innovation and Green Development, Elsevier, vol. 3(1).
    4. Sun, Chuanwang & Khan, Anwar & Xue, Juntao & Huang, Xiaoyong, 2024. "Are digital economy and financial structure driving renewable energy technology innovations: A major eight countries perspective," Applied Energy, Elsevier, vol. 362(C).
    5. Zhao, Qian & Wang, Lu & Stan, Sebastian-Emanuel & Mirza, Nawazish, 2024. "Can artificial intelligence help accelerate the transition to renewable energy?," Energy Economics, Elsevier, vol. 134(C).

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    More about this item

    Keywords

    Digital economy; Renewable energy; Government intervention;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E26 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Informal Economy; Underground Economy

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