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Spatial Effects of Energy System Digitization on Carbon Emissions: Evidence from China

Author

Listed:
  • Jun Tang

    (School of Economics & Management, Northwest University, Xi’an 710069, China)

  • Yueting Li

    (School of Economics & Management, Northwest University, Xi’an 710069, China)

  • Yu Gao

    (School of Economics & Management, Northwest University, Xi’an 710069, China)

Abstract

This study empirically examines the spatial effects and spatial mechanisms of energy system digitization on carbon emissions by using the projection pursuit method and spatial Durbin model with panel data of 30 provinces in China from 2013 to 2021 as samples. The results show that (1) the digitization of the energy system reduces the carbon emission intensity of the surrounding areas by 2.069%, which has a significant spatial emission reduction effect. (2) Technological innovation and industrial structure optimization are important spatial impact mechanisms. (3) The spatial emission reduction effect of energy system digitization is significant in the eastern region, but not in the central and western regions, indicating that the spatial emission reduction effect of energy system digitization is spatially heterogeneous.

Suggested Citation

  • Jun Tang & Yueting Li & Yu Gao, 2024. "Spatial Effects of Energy System Digitization on Carbon Emissions: Evidence from China," Sustainability, MDPI, vol. 16(5), pages 1-19, February.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:5:p:1822-:d:1344001
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    1. Qian Zhang & Minghui Wu & Wen-Tsao Pan, 2022. "Big Data Energy Scheduling Game Management Algorithm Based on Dual Carbon Goals," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-9, May.
    2. Mahmud, Khizir & Khan, Behram & Ravishankar, Jayashri & Ahmadi, Abdollah & Siano, Pierluigi, 2020. "An internet of energy framework with distributed energy resources, prosumers and small-scale virtual power plants: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
    3. Wang, Lei & Chen, Yangyang & Ramsey, Thomas Stephen & Hewings, Geoffrey J.D., 2021. "Will researching digital technology really empower green development?," Technology in Society, Elsevier, vol. 66(C).
    4. Wang, Yafei & Liao, Meng & Wang, Yafei & Xu, Lixiao & Malik, Arunima, 2021. "The impact of foreign direct investment on China's carbon emissions through energy intensity and emissions trading system," Energy Economics, Elsevier, vol. 97(C).
    5. Shao, Yanmin & Chen, Zhongfei, 2022. "Can government subsidies promote the green technology innovation transformation? Evidence from Chinese listed companies," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 716-727.
    6. Lyu, Wenjing & Liu, Jin, 2021. "Artificial Intelligence and emerging digital technologies in the energy sector," Applied Energy, Elsevier, vol. 303(C).
    7. Chien, FengSheng & Chau, Ka Yin & Sadiq, Muhammad, 2023. "Impact of climate mitigation technology and natural resource management on climate change in China," Resources Policy, Elsevier, vol. 81(C).
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