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Tytuł:
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Research on Determining the Critical Influencing Factors of Carbon Emission Integrating GRA with an Improved STIRPAT Model: Taking the Yangtze River Delta as an Example.
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Autorzy:
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Guo F; School of Management and E-Business, Zhejiang Gongshang University, Hangzhou 310018, China.; Modern Business Research Center, Zhejiang Gongshang University, Hangzhou 310018, China.
Zhang L; School of Management and E-Business, Zhejiang Gongshang University, Hangzhou 310018, China.; Modern Business Research Center, Zhejiang Gongshang University, Hangzhou 310018, China.
Wang Z; School of Management and E-Business, Zhejiang Gongshang University, Hangzhou 310018, China.; Modern Business Research Center, Zhejiang Gongshang University, Hangzhou 310018, China.
Ji S; Sprott School of Business, Carleton University, Ottawa, ON K1S 5B6, Canada.
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Źródło:
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International journal of environmental research and public health [Int J Environ Res Public Health] 2022 Jul 19; Vol. 19 (14). Date of Electronic Publication: 2022 Jul 19.
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Typ publikacji:
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Journal Article; Research Support, Non-U.S. Gov't
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Język:
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English
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Imprint Name(s):
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Original Publication: Basel : MDPI, c2004-
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MeSH Terms:
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Carbon*/analysis
Rivers*
Carbon Dioxide/analysis ; China ; Economic Development
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References:
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Environ Sci Pollut Res Int. 2019 Jun;26(18):18814-18824. (PMID: 31065981)
Int J Environ Res Public Health. 2022 Apr 07;19(8):. (PMID: 35457325)
Int J Environ Res Public Health. 2022 Jan 22;19(3):. (PMID: 35162249)
Environ Sci Pollut Res Int. 2021 Jan;28(1):846-861. (PMID: 32827117)
Environ Sci Pollut Res Int. 2020 Dec;27(36):45911-45924. (PMID: 32803613)
Environ Sci Pollut Res Int. 2021 Feb;28(6):7200-7211. (PMID: 33026625)
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Contributed Indexing:
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Keywords: GRA; Yangtze River Delta; carbon emission influencing factors; energy consumption; improved STIRPAT model
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Substance Nomenclature:
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142M471B3J (Carbon Dioxide)
7440-44-0 (Carbon)
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Entry Date(s):
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Date Created: 20220727 Date Completed: 20220728 Latest Revision: 20220830
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Update Code:
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20240105
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PubMed Central ID:
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PMC9318623
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DOI:
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10.3390/ijerph19148791
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PMID:
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35886642
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Driven by China's peak carbon emissions and carbon neutrality goals, each region should choose a suitable local implementation path according to local conditions, so it is of great significance to mine and analyze the critical influencing factors of regional carbon emissions. Therefore, this paper integrates grey relation analysis (GRA) and an improved STIRPAT model and selects the Yangtze River Delta region of China as the research object to analyze the factors affecting carbon emissions in four provinces in the region. Firstly, it uses the IPCC method to calculate the energy carbon emissions of each province. Secondly, according to the existing research, the relevant influencing factors of carbon emissions are sorted and summarized as candidate sets and this paper uses GRA to calculate the correlation degree of the above candidate sets. On this basis, this paper combines with the characteristics of the improved STIRPAT model to determine the index selection criteria and filter out the critical factors of each province. Thirdly, an improved STIRPAT model is constructed for each province to explore the influence of critical factors and analyze the influencing factors of carbon emissions in detail. The empirical results show that during the period from 2005 to 2019, the carbon emissions of the four provinces in the Yangtze River Delta are significantly different in structure and trend. At the same time, the critical influencing factors of each province are different and the influence of the same factor on different regions is significantly different. Finally, the policy suggestions for the provinces to achieve their peak carbon emissions and carbon neutrality goals are precisely tailored to the different carbon emission influencing factors.
