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Research on Technology Spillover of Digital Economy Affecting Energy Consumption Intensity in Beijing–Tianjin–Hebei Region

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  • Huayang Duan

    (Department of Law and Political Science, North China Electric Power University, Baoding 071003, China)

  • Xuesong Sun

    (Department of Law and Political Science, North China Electric Power University, Baoding 071003, China)

Abstract

As a new economic paradigm, the digital economy is critical to economic growth and environmental protection. This paper empirically explores the impact of the digital economy on regional energy consumption intensity in the Beijing–Tianjin–Hebei region from 2010 to 2018. It is found that the digital economy has a significant inhibitory effect on regional energy consumption intensity. This effect remains valid even after passing the endogeneity and robustness tests. The paper confirms that technological innovation is the primary means by which the digital economy affects energy consumption intensity. The analysis of spatial spillover effects shows that the digital economy promotes the improvement of energy consumption intensity in surrounding areas through technology spillover effects. A heterogeneity analysis demonstrates that the technology spillover effect has a significant inhibitory effect on the energy consumption intensity of the surrounding areas for economically developed cities. Currently, the digital economy is a significant driver for enhancing productivity and quality. The integration and application of digital technologies have enabled technological innovation in the real economy, effectively reducing regional energy consumption.

Suggested Citation

  • Huayang Duan & Xuesong Sun, 2024. "Research on Technology Spillover of Digital Economy Affecting Energy Consumption Intensity in Beijing–Tianjin–Hebei Region," Sustainability, MDPI, vol. 16(11), pages 1-21, May.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:11:p:4562-:d:1403385
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    References listed on IDEAS

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    1. Jianfeng Guo & Kai Zhang & Kecheng Liu, 2022. "Exploring the Mechanism of the Impact of Green Finance and Digital Economy on China’s Green Total Factor Productivity," IJERPH, MDPI, vol. 19(23), pages 1-18, December.
    2. Zhen Feng & Sainan Cheng & Guohua Qu & Yunlong Cui & Jiameng Ye, 2022. "Research on Theoretical Mechanism and Promotion Path of Digital Economy Driving China’s Green Development under “Double Carbon” Background," IJERPH, MDPI, vol. 20(1), pages 1-27, December.
    3. Keller, Wolfgang, 2002. "Trade and the Transmission of Technology," Journal of Economic Growth, Springer, vol. 7(1), pages 5-24, March.
    4. Andrey I. Vlasov & Vadim A. Shakhnov & Sergey S. Filin & Sergey S. Filin & Aleksey I. Krivoshein & Aleksey I. Krivoshein, 2019. "Sustainable energy systems in the digital economy: concept of smart machines," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 6(4), pages 1975-1986, June.
    5. Wurlod, Jules-Daniel & Noailly, Joëlle, 2018. "The impact of green innovation on energy intensity: An empirical analysis for 14 industrial sectors in OECD countries," Energy Economics, Elsevier, vol. 71(C), pages 47-61.
    6. Xue, Yan & Tang, Chang & Wu, Haitao & Liu, Jianmin & Hao, Yu, 2022. "The emerging driving force of energy consumption in China: Does digital economy development matter?," Energy Policy, Elsevier, vol. 165(C).
    7. Muhammad Imran & Xiangyang Liu & Rongyu Wang & Shah Saud & Yun Zhao & Muhammad Jalal Khan, 2022. "The Influence of Digital Economy and Society Index on Sustainable Development Indicators: The Case of European Union," Sustainability, MDPI, vol. 14(18), pages 1-16, September.
    8. Lange, Steffen & Pohl, Johanna & Santarius, Tilman, 2020. "Digitalization and energy consumption. Does ICT reduce energy demand?," Ecological Economics, Elsevier, vol. 176(C).
    9. Zhang, Wenyue & Li, Jianan & Sun, Chuanwang, 2022. "The impact of OFDI reverse technology spillovers on China's energy intensity: Analysis of provincial panel data," Energy Economics, Elsevier, vol. 116(C).
    10. Ivan A. Kapitonov & Tatiana G. Filosofova & Vitaly G. Korolev, 2019. "Development of Digital Economy in the Energy Industry-specific Modernization," International Journal of Energy Economics and Policy, Econjournals, vol. 9(4), pages 273-282.
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    Cited by:

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    2. Li Peng & Paul Anthony Mariadas, 2025. "Research on the Low-Carbon Spatial Spillover Effect Development of the Digital Economy Enabled by New Quality Productivity," Sustainability, MDPI, vol. 17(4), pages 1-22, February.

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