IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i11p4562-d1403385.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/11/4562/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/11/4562/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Keller, Wolfgang, 2002. "Trade and the Transmission of Technology," Journal of Economic Growth, Springer, vol. 7(1), pages 5-24, March.
    2. 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).
    3. 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.
    4. 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.
    5. Lange, Steffen & Pohl, Johanna & Santarius, Tilman, 2020. "Digitalization and energy consumption. Does ICT reduce energy demand?," Ecological Economics, Elsevier, vol. 176(C).
    6. 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.
    7. 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.
    8. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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).
    2. Jia, Shanghui & Chen, Xinhui & Jin, Jiayu, 2024. "Digital disruption and energy efficiency: The impact of regional digitalization on China's industrial sector," Energy, Elsevier, vol. 300(C).
    3. Junhong Qu & Xiaoli Hao, 2022. "Digital Economy, Financial Development, and Energy Poverty Based on Mediating Effects and a Spatial Autocorrelation Model," Sustainability, MDPI, vol. 14(15), pages 1-24, July.
    4. Peng, Hua-Rong & Qin, Xiong-Feng, 2024. "Digitalization as a trigger for a rebound effect of electricity use," Energy, Elsevier, vol. 300(C).
    5. Du, Juntao & Shen, Zhiyang & Song, Malin & Zhang, Linda, 2023. "Nexus between digital transformation and energy technology innovation: An empirical test of A-share listed enterprises," Energy Economics, Elsevier, vol. 120(C).
    6. Umair Kashif & Junguo Shi & Sihan Li & Qinqin Wu & Qiuya Song & Shanshan Dou & Mengjie Wei & Snovia Naseem, 2024. "Navigating the digital divide: unraveling the impact of ICT usage and supply on SO2 emissions in China’s Yangtze River Delta," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
    7. Ge, Yihan & Yuan, Rong, 2024. "Exploring decoupling relationship between ICT investments and energy consumption in China's provinces: Factors and policy implications," Energy, Elsevier, vol. 286(C).
    8. Wang, Weilong & Yang, Xiaodong & Cao, Jianhong & Bu, Wenchao & Dagestani, Abd Alwahed & Adebayo, Tomiwa Sunday & Dilanchiev, Azer & Ren, Siyu, 2022. "Energy internet, digital economy, and green economic growth: Evidence from China," Innovation and Green Development, Elsevier, vol. 1(2).
    9. Zhong Ren & Jie Zhang, 2023. "Digital Economy, Clean Energy Consumption, and High-Quality Economic Development: The Case of China," Sustainability, MDPI, vol. 15(18), pages 1-24, September.
    10. Meili Zhang & Shi Yin, 2023. "Can China’s Digital Economy and Green Economy Achieve Coordinated Development?," Sustainability, MDPI, vol. 15(7), pages 1-25, March.
    11. 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).
    12. Zhe Wang & Ziling Yu & Lili Ma & Aolei Li, 2022. "The Digital Economy and the Energy “Internal Circulation”: Evidence from China’s Interprovincial Energy Trade," Sustainability, MDPI, vol. 14(23), pages 1-16, November.
    13. Peng, Hua-Rong & Zhang, Yue-Jun & Liu, Jing-Yue, 2023. "The energy rebound effect of digital development: Evidence from 285 cities in China," Energy, Elsevier, vol. 270(C).
    14. Guoteng Xu & Jingwei Zhu & Chengjiang Li & Jingtong Shan, 2023. "Study on the Synergistic Evolutionary Effects of China’s Digital Economy Core Industry and Energy Industry Based on DEA Malmquist Synergistic Development Model and Grey Correlation Analysis," Sustainability, MDPI, vol. 15(13), pages 1-26, June.
    15. Yi, Jiahui & Dai, Sheng & Li, Lin & Cheng, Jinhua, 2024. "How does digital economy development affect renewable energy innovation?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    16. Danxue Fan & Meiyue Li, 2024. "Digital Economy Development and Green Innovation Efficiency from a Two-Stage Innovation Value Chain Perspective," Sustainability, MDPI, vol. 16(11), pages 1-20, May.
    17. Xiaohong Liu, 2023. "Impacts of Environmental Pollution and Digital Economy on the New Energy Industry," Sustainability, MDPI, vol. 15(12), pages 1-15, June.
    18. Ziling Yu & Ruoxuan Li & Lili Ma, 2022. "Has the Digital Economy Affected the Status of a Country’s Energy Trade Network?," Sustainability, MDPI, vol. 14(23), pages 1-14, November.
    19. Xiaoying Lei & Yifei Ma & Jinkai Ke & Caihong Zhang, 2023. "The Non-Linear Impact of the Digital Economy on Carbon Emissions Based on a Mediated Effects Model," Sustainability, MDPI, vol. 15(9), pages 1-14, April.
    20. Zuoyufan Sheng & Chengpeng Zhu & Mo Chen, 2024. "Exploring the Impact of the Digital Economy on Green Total Factor Productivity—Evidence from Chinese Cities," Sustainability, MDPI, vol. 16(7), pages 1-13, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:11:p:4562-:d:1403385. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.