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Has the Development of the Digital Economy Reduced the Regional Energy Intensity—From the Perspective of Factor Market Distortion, Industrial Structure Upgrading and Technological Progress?

Author

Listed:
  • Guohua Zeng

    (School of Economics and Management, Jiangxi University of Science and Technology, Ganzhou 341400, China)

  • Peiying Wu

    (School of Economics and Management, Jiangxi University of Science and Technology, Ganzhou 341400, China)

  • Xinxin Yuan

    (School of Economics and Management, Jiangxi University of Science and Technology, Ganzhou 341400, China)

Abstract

The digital economy has become the key driver of improving the quality and efficiency of the social economy and reshaping core competitiveness with the new technological revolution. This paper uses China’s provincial panel data from 2011 to 2019 and the entropy method to measure the digital economy development index of China’s provinces and cities and examines the impact of digital economy development on regional energy intensity using the fixed effect model. The results show that: (1) There is a significant difference in the development levels of the digital economy in the eastern and western regions of China. In addition, there is also a significant difference in the intensities of energy use between the northern and southern regions. (2) The development of the digital economy can significantly reduce China’s regional energy intensity. (3) There are three intermediary transmission paths for digital economy development to reduce the energy intensity through alleviating factor market distortion, promoting industrial structure upgrading and improving the technological innovation level, which are optimizing factor allocation, reducing factor distortion, adjusting and upgrading industrial structure and driving technological innovation applications. In general, all regions should further promote the development of digital industrialization and industrial digitization, enhance digital technology innovation and application, deepen the integrated development of digital economy and real economy and promote a new round of technological change and industrial upgrading on the basis of optimizing the allocation of important factors such as information data and artificial intelligence.

Suggested Citation

  • Guohua Zeng & Peiying Wu & Xinxin Yuan, 2023. "Has the Development of the Digital Economy Reduced the Regional Energy Intensity—From the Perspective of Factor Market Distortion, Industrial Structure Upgrading and Technological Progress?," Sustainability, MDPI, vol. 15(7), pages 1-19, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:7:p:5927-:d:1110512
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    References listed on IDEAS

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    1. Chai, Jian & Guo, Ju-E & Wang, Shou-Yang & Lai, Kin Keung, 2009. "Why does energy intensity fluctuate in China?," Energy Policy, Elsevier, vol. 37(12), pages 5717-5731, December.
    2. Susanto Basu & John G. Fernald, 2008. "Information and communications technology as a general purpose technology: evidence from U.S. industry data," Economic Review, Federal Reserve Bank of San Francisco, pages 1-15.
    3. Ceccobelli, M. & Gitto, S. & Mancuso, P., 2012. "ICT capital and labour productivity growth: A non-parametric analysis of 14 OECD countries," Telecommunications Policy, Elsevier, vol. 36(4), pages 282-292.
    4. 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).
    5. 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.
    6. Voigt, Sebastian & De Cian, Enrica & Schymura, Michael & Verdolini, Elena, 2014. "Energy intensity developments in 40 major economies: Structural change or technology improvement?," Energy Economics, Elsevier, vol. 41(C), pages 47-62.
    7. Wen-Cheng Lu, 2018. "The impacts of information and communication technology, energy consumption, financial development, and economic growth on carbon dioxide emissions in 12 Asian countries," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 23(8), pages 1351-1365, December.
    8. Vassileva, Iana & Wallin, Fredrik & Dahlquist, Erik, 2012. "Understanding energy consumption behavior for future demand response strategy development," Energy, Elsevier, vol. 46(1), pages 94-100.
    9. Ikhlaas Gurrib & Firuz Kamalov, 2019. "The implementation of an adjusted relative strength index model in foreign currency and energy markets of emerging and developed economies," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 12(2), pages 105-123, May.
    10. Lin, Boqiang & Wang, Miao, 2021. "What drives energy intensity fall in China? Evidence from a meta-frontier approach," Applied Energy, Elsevier, vol. 281(C).
    11. Lange, Steffen & Pohl, Johanna & Santarius, Tilman, 2020. "Digitalization and energy consumption. Does ICT reduce energy demand?," Ecological Economics, Elsevier, vol. 176(C).
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