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      Decoupling relationship between carbon emissions and economic development and prediction of carbon emissions in Henan Province: based on Tapio method and STIRPAT model

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          Abstract

          In order to cope with global warming, China has put forward the “30 · 60” plan. We take Henan Province as an example to explore the accessibility of the plan. Tapio decoupling model is used to discuss the relationship between carbon emissions and economy in Henan Province. The influence factors of carbon emissions in Henan Province were studied by using STIRPAT extended model and ridge regression method, and the carbon emission prediction equation was obtained. On this basis, the standard development scenario, low-carbon development scenario, and high-speed development scenario are set according to the economic development model to analyze and predict the carbon emissions of Henan Province from 2020 to 2040. The results show that energy intensity effect and energy structure effect can promote the optimization of the relationship between economy and carbon emissions in Henan Province. Energy structure and carbon emission intensity have a significant negative impact on carbon emissions, while industrial structure has a significant positive impact on carbon emissions. Henan Province can achieve the “carbon peak” goal by 2030 years under the standard and low-carbon development scenario, but it cannot achieve this goal under the high-speed development scenario. Therefore, in order to achieve the goals of “carbon peaking” and “carbon neutralization” as scheduled, Henan Province must adjust its industrial structure, optimize its energy consumption structure, improve energy efficiency, and reduce energy intensity.

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          Most cited references34

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            CO2 emissions, energy consumption and economic growth in Turkey

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                Author and article information

                Contributors
                weizhengqi0307@163.com
                18627918831@163.com
                l13297022037@163.com
                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 February 2023
                : 1-13
                Affiliations
                [1 ]GRID grid.443353.6, ISNI 0000 0004 1798 8916, Chifeng University, ; Chifeng, 024000 China
                [2 ]GRID grid.33199.31, ISNI 0000 0004 0368 7223, Huazhong University of Science and Technology Tongji Medical College, ; Wuhan, 430000 China
                Author notes

                Responsible Editor: V.V.S.S. Sarma

                Author information
                http://orcid.org/0000-0002-1699-3321
                Article
                26051
                10.1007/s11356-023-26051-z
                9969032
                36847941
                ed77818c-ded5-4f2d-b7eb-5e04dd90677e
                © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

                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
                : 17 October 2022
                : 17 February 2023
                Categories
                Research Article

                General environmental science
                tapio decoupling model,stirpat model,ridge regression,carbon emission forecast,scenario analysis,henan province

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