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Promoting decarbonization in the power sector: How important is digital transformation?

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  • Huang, Chenchen
  • Lin, Boqiang

Abstract

The application of digital technologies to help improve new energy integration and generation efficiency is critical to decarbonizing the power sector. Many studies have explored the drivers of carbon emissions in the power sector, but the role of digitalization has been overlooked. To investigate digitalization's impact on electricity production's carbon intensity, this paper measures the level of digitalization in the electricity sector for 93 countries in 2010 and 2015–2019. A two-way fixed effects model was constructed to analyze the panel data. According to the empirical findings, digitalization can significantly reduce the carbon intensity of power generation. Optimizing the energy structure is an important mechanism for decarbonization. It is found that the energy structure enhances the carbon reduction effect of digitalization in the power sector. The impact of digitalization on reducing carbon intensity increases with the quantity of renewable energy. The heterogeneity analysis results suggest that digitalization's impact on reducing carbon emissions is stronger in nations with higher levels of digital investment, digital service investment, industrial proportion, or industrial electricity compared to residential electricity. The research offers empirical evidence and targeted policy recommendations for promoting decarbonization and digital transformation of the power sector.

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  • Huang, Chenchen & Lin, Boqiang, 2023. "Promoting decarbonization in the power sector: How important is digital transformation?," Energy Policy, Elsevier, vol. 182(C).
    • Handle: RePEc:eee:enepol:v:182:y:2023:i:c:s0301421523003208
    DOI: 10.1016/j.enpol.2023.113735
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    as
    1. Shuming Ren & Lianqing Li & Yueqi Han & Yu Hao & Haitao Wu, 2022. "The emerging driving force of inclusive green growth: Does digital economy agglomeration work?," Business Strategy and the Environment, Wiley Blackwell, vol. 31(4), pages 1656-1678, May.
    2. Wang, Weiwei & Gao, Pengpeng & Wang, Jiahaoran, 2023. "Nexus among digital inclusive finance and carbon neutrality: Evidence from company-level panel data analysis," Resources Policy, Elsevier, vol. 80(C).
    3. Karmellos, M. & Kopidou, D. & Diakoulaki, D., 2016. "A decomposition analysis of the driving factors of CO2 (Carbon dioxide) emissions from the power sector in the European Union countries," Energy, Elsevier, vol. 94(C), pages 680-692.
    4. Ang, B.W. & Su, Bin, 2016. "Carbon emission intensity in electricity production: A global analysis," Energy Policy, Elsevier, vol. 94(C), pages 56-63.
    5. Wang, Jianda & Dong, Xiucheng & Dong, Kangyin, 2022. "How digital industries affect China's carbon emissions? Analysis of the direct and indirect structural effects," Technology in Society, Elsevier, vol. 68(C).
    6. Park, BeomJun & Hur, Jin, 2018. "Spatial prediction of renewable energy resources for reinforcing and expanding power grids," Energy, Elsevier, vol. 164(C), pages 757-772.
    7. Trahan, Ryan Thomas & Hess, David J., 2022. "Will power be local? The role of local power organizations in energy transition acceleration," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    8. Piotr F. Borowski, 2021. "Digitization, Digital Twins, Blockchain, and Industry 4.0 as Elements of Management Process in Enterprises in the Energy Sector," Energies, MDPI, vol. 14(7), pages 1-20, March.
    9. Song, Malin & Peng, Licheng & Shang, Yuping & Zhao, Xin, 2022. "Green technology progress and total factor productivity of resource-based enterprises: A perspective of technical compensation of environmental regulation," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    10. Arthur Lewbel, 1997. "Constructing Instruments for Regressions with Measurement Error when no Additional Data are Available, with an Application to Patents and R&D," Econometrica, Econometric Society, vol. 65(5), pages 1201-1214, September.
    11. Yu, Jianxi & Petersen, Nils & Liu, Pei & Li, Zheng & Wirsum, Manfred, 2022. "Hybrid modelling and simulation of thermal systems of in-service power plants for digital twin development," Energy, Elsevier, vol. 260(C).
    12. Santillán Vera, Mónica & García Manrique, Lilia & Rodríguez Peña, Isabel & De La Vega Navarro, Angel, 2023. "Drivers of electricity GHG emissions and the role of natural gas in mexican energy transition," Energy Policy, Elsevier, vol. 173(C).
    13. Yan, Qingyou & Zhang, Qian & Zou, Xin, 2016. "Decomposition analysis of carbon dioxide emissions in China's regional thermal electricity generation, 2000–2020," Energy, Elsevier, vol. 112(C), pages 788-794.
    14. Maroufkhani, Parisa & Desouza, Kevin C. & Perrons, Robert K. & Iranmanesh, Mohammad, 2022. "Digital transformation in the resource and energy sectors: A systematic review," Resources Policy, Elsevier, vol. 76(C).
    15. Lyu, Wenjing & Liu, Jin, 2021. "Artificial Intelligence and emerging digital technologies in the energy sector," Applied Energy, Elsevier, vol. 303(C).
    16. Ang, B.W. & Su, Bin & Wang, H., 2016. "A spatial–temporal decomposition approach to performance assessment in energy and emissions," Energy Economics, Elsevier, vol. 60(C), pages 112-121.
    17. Lin, Boqiang & Huang, Chenchen, 2023. "Promoting variable renewable energy integration: The moderating effect of digitalization," Applied Energy, Elsevier, vol. 337(C).
    18. Wang, Bo & Wang, Jianda & Dong, Kangyin & Dong, Xiucheng, 2023. "Is the digital economy conducive to the development of renewable energy in Asia?," Energy Policy, Elsevier, vol. 173(C).
    19. Zhang, Xudong & Song, Xueqian & Lu, Jianguang & Liu, Fei, 2022. "How financial development and digital trade affect ecological sustainability: The role of renewable energy using an advanced panel in G-7 Countries," Renewable Energy, Elsevier, vol. 199(C), pages 1005-1015.
    20. Zhang, Dongyang & Mohsin, Muhammad & Taghizadeh-Hesary, Farhad, 2022. "Does green finance counteract the climate change mitigation: Asymmetric effect of renewable energy investment and R&D," Energy Economics, Elsevier, vol. 113(C).
    21. Wang, Junfeng & He, Shutong & Qiu, Ye & Liu, Nan & Li, Yongjian & Dong, Zhanfeng, 2018. "Investigating driving forces of aggregate carbon intensity of electricity generation in China," Energy Policy, Elsevier, vol. 113(C), pages 249-257.
    22. Ang, B.W. & Goh, Tian, 2016. "Carbon intensity of electricity in ASEAN: Drivers, performance and outlook," Energy Policy, Elsevier, vol. 98(C), pages 170-179.
    23. Wang, Qingxi & Hu, An & Tian, Zhihua, 2022. "Digital transformation and electricity consumption: Evidence from the Broadband China pilot policy," Energy Economics, Elsevier, vol. 115(C).
    24. Wang, Ping & Han, Wei & Kumail Abbas Rizvi, Syed & Naqvi, Bushra, 2022. "Is Digital Adoption the way forward to Curb Energy Poverty?," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    25. Lin, Boqiang & Jia, Zhijie, 2018. "Impact of quota decline scheme of emission trading in China: A dynamic recursive CGE model," Energy, Elsevier, vol. 149(C), pages 190-203.
    26. 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.
    27. Yu, Huaying & Wei, Wei & Li, Jinhe & Li, Ying, 2022. "The impact of green digital finance on energy resources and climate change mitigation in carbon neutrality: Case of 60 economies," Resources Policy, Elsevier, vol. 79(C).
    28. Pereira, Guillermo Ivan & Pereira da Silva, Patrícia & Cerqueira, Pedro André, 2020. "Electricity distribution incumbents' adaptation toward decarbonized and smarter grids: Evidence on the role market, regulatory, investment, and firm-level factors," Energy Policy, Elsevier, vol. 142(C).
    29. Lange, Steffen & Pohl, Johanna & Santarius, Tilman, 2020. "Digitalization and energy consumption. Does ICT reduce energy demand?," Ecological Economics, Elsevier, vol. 176(C).
    30. Liu, Nan & Ma, Zujun & Kang, Jidong, 2017. "A regional analysis of carbon intensities of electricity generation in China," Energy Economics, Elsevier, vol. 67(C), pages 268-277.
    31. Yi, Ming & Liu, Yafen & Sheng, Mingyue Selena & Wen, Le, 2022. "Effects of digital economy on carbon emission reduction: New evidence from China," Energy Policy, Elsevier, vol. 171(C).
    32. Minli Yu & Fu-Sheng Tsai & Hui Jin & Hejie Zhang, 2022. "Digital finance and renewable energy consumption: evidence from China," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-19, December.
    33. Ling, Yantao & Xia, Senmao & Cao, Mengqiu & He, Kerun & Lim, Ming K. & Sukumar, Arun & Yi, Huiyong & Qian, Xiaoduo, 2021. "Carbon emissions in China's thermal electricity and heating industry: an input-output structural decomposition analysis," LSE Research Online Documents on Economics 112930, London School of Economics and Political Science, LSE Library.
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