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      Energy structure, digital economy, and carbon emissions: evidence from China

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          Abstract

          As a new production factor, digitalization plays a vital role in society, economy, and the environment. Based on the expanded STIRPAT model, this paper empirically tests the impact of energy structure and digital economy on carbon emissions by panel data from 2011 to 2017 in 30 provinces of China. The results show that the energy structure mainly based on coal has a significant driving effect on carbon emissions. Compared with non-resource-based provinces, the increase of energy structure dominated by coal has a greater effect on carbon emission in resource-based provinces. It is worth noting that this kind of influence has a greater impact on the central region of China, followed by the western region and the eastern region. Besides, the digital economy has a significant moderating effect. With the development of digital economy, the impact of coal-based energy structure on carbon emissions is gradually decreasing. This effect is more significant in non-resource-based provinces and eastern China, but not significant in resource-based cities and central and western China.

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          Most cited references62

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          Determinants of CO2 emissions in the European Union: The role of renewable and non-renewable energy

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            Non-renewable and renewable energy consumption and CO2 emissions in OECD countries: A comparative analysis

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              CO2 emissions, energy consumption and economic growth in Turkey

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                Author and article information

                Contributors
                1029868528@qq.com
                yxdlovezt@126.com
                ranqyxjedu@126.com
                haitao.kungfuer@gmail.com
                irfansahar2010@gmail.com
                munirahmad@zju.edu.cn
                Journal
                Environ Sci Pollut Res Int
                Environ Sci Pollut Res Int
                Environmental Science and Pollution Research International
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0944-1344
                1614-7499
                27 July 2021
                : 1-24
                Affiliations
                [1 ]GRID grid.413254.5, ISNI 0000 0000 9544 7024, School of Economics and Management, , Xinjiang University, ; Urumqi, 830047 China
                [2 ]GRID grid.413254.5, ISNI 0000 0000 9544 7024, Center of Innovation Management Research of Xinjiang, , Xinjiang University, ; Urumqi, 830047 China
                [3 ]GRID grid.43555.32, ISNI 0000 0000 8841 6246, School of Management and Economics, , Beijing Institute of Technology, ; Beijing, 100081 China
                [4 ]GRID grid.43555.32, ISNI 0000 0000 8841 6246, Center for Energy and Environmental Policy Research, , Beijing Institute of Technology, ; Beijing, 100081 China
                [5 ]GRID grid.13402.34, ISNI 0000 0004 1759 700X, School of Economics, , Zhejiang University, ; Hangzhou, 310058 China
                Author notes

                Responsible Editor: Ilhan Ozturk

                Article
                15304
                10.1007/s11356-021-15304-4
                8315258
                34318413
                65c7b302-5f31-4c93-888e-a2bf1a364ef5
                © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 26 April 2021
                : 1 July 2021
                Categories
                Research Article

                General environmental science
                energy structure,digital economy,carbon emissions,resource-based province

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