Spatial patterns and evolution trend of coupling coordination of pollution reduction and carbon reduction along the Yellow River Basin, China
Collaborative efforts to reduce pollution and carbon emissions are a notable feature of the current era. Achieving the “pollution reduction” and “carbon reduction” dual-driven new development model is the inevitable requirement and significant practical measure for building a new development pattern...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-10-01
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| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X23009391 |
| _version_ | 1827816071792427008 |
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| author | Xiaolan Chen Qinggang Meng Kaikai Wang Yufei Liu Wanfang Shen |
| author_facet | Xiaolan Chen Qinggang Meng Kaikai Wang Yufei Liu Wanfang Shen |
| author_sort | Xiaolan Chen |
| collection | DOAJ |
| description | Collaborative efforts to reduce pollution and carbon emissions are a notable feature of the current era. Achieving the “pollution reduction” and “carbon reduction” dual-driven new development model is the inevitable requirement and significant practical measure for building a new development pattern and realizing a comprehensive green transformation of economic and social development. The synergistic effects between pollution reduction and carbon reduction (PRCR) have been demonstrated. However, the measurement and quantitative analysis of the coupling coordination degree (CCD) of PRCR have not received enough attention. Therefore, the evaluation index system was constructed based on the scientific connotation of PRCR, and the CCD of PRCR in cities along the Yellow River Basin (YRB) from 2009 to 2018 was measured quantitatively by constructing the coupling coordination model in this paper. In addition, we comprehensively investigated its spatial pattern, distribution characteristics, and evolution trend using ESDA, Kernel density estimation, and Markov chain. The primary findings can be summarized as: (1) PRCR levels and their CCD fluctuated and increased in the YRB, with “east-high and west-low” spatial differentiation characteristics, and the coupling phenomenon of “pollution reduction is hindered and carbon reduction is lagging”. (2) There is a phenomenon of “spatial club” clustering in the coordination degree of PRCR in the YRB, with most cities in the downstream areas belonging to the type of high-high clustering, while the middle and upstream areas had the opposite type. (3) The CCD of PRCR in the whole and upper reaches of the YRB have transformed from low-level divergence to high-level convergence. (4) Spatial geographic factors have a significant spillover effect on the evolution of the CCD of PRCR, and there is a phenomenon of the “Matthew effect”. This paper provides a comprehensive framework for analyzing the synergistic effects between PRCR, and the research findings can also provide insights for other regions. |
| first_indexed | 2024-03-12T00:10:41Z |
| format | Article |
| id | doaj.art-f6c3499132f94e949d3d176d50b2bffa |
| institution | Directory Open Access Journal |
| issn | 1470-160X |
| language | English |
| last_indexed | 2024-03-12T00:10:41Z |
| publishDate | 2023-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj.art-f6c3499132f94e949d3d176d50b2bffa2023-09-16T05:29:59ZengElsevierEcological Indicators1470-160X2023-10-01154110797Spatial patterns and evolution trend of coupling coordination of pollution reduction and carbon reduction along the Yellow River Basin, ChinaXiaolan Chen0Qinggang Meng1Kaikai Wang2Yufei Liu3Wanfang Shen4Shandong Technology Innovation Center of Social Governance Intelligence, Shandong University of Finance and Economics, Jinan 250014, ChinaSchool of Statistics and Mathematics, Shandong University of Finance and Economics, Jinan 250014, China; Corresponding author at: School of Statistics and Mathematics, Shandong University of Finance and Economics, No. 7366, East Second Ring Road, Lixia District, Jinan, Shandong Province 250014, China.School of Statistics and Mathematics, Shandong University of Finance and Economics, Jinan 250014, ChinaSchool of Statistics and Mathematics, Shandong University of Finance and Economics, Jinan 250014, ChinaShandong Key Laboratory of Blockchain Finance, Shandong University of Finance and Economics, Jinan 250014, ChinaCollaborative efforts to reduce pollution and carbon emissions are a notable feature of the current era. Achieving the “pollution reduction” and “carbon reduction” dual-driven new development model is the inevitable requirement and significant practical measure for building a new development pattern and realizing a comprehensive green transformation of economic and social development. The synergistic effects between pollution reduction and carbon reduction (PRCR) have been demonstrated. However, the measurement and quantitative analysis of the coupling coordination degree (CCD) of PRCR have not received enough attention. Therefore, the evaluation index system was constructed based on the scientific connotation of PRCR, and the CCD of PRCR in cities along the Yellow River Basin (YRB) from 2009 to 2018 was measured quantitatively by constructing the coupling coordination model in this paper. In addition, we comprehensively investigated its spatial pattern, distribution characteristics, and evolution trend using ESDA, Kernel density estimation, and Markov chain. The primary findings can be summarized as: (1) PRCR levels and their CCD fluctuated and increased in the YRB, with “east-high and west-low” spatial differentiation characteristics, and the coupling phenomenon of “pollution reduction is hindered and carbon reduction is lagging”. (2) There is a phenomenon of “spatial club” clustering in the coordination degree of PRCR in the YRB, with most cities in the downstream areas belonging to the type of high-high clustering, while the middle and upstream areas had the opposite type. (3) The CCD of PRCR in the whole and upper reaches of the YRB have transformed from low-level divergence to high-level convergence. (4) Spatial geographic factors have a significant spillover effect on the evolution of the CCD of PRCR, and there is a phenomenon of the “Matthew effect”. This paper provides a comprehensive framework for analyzing the synergistic effects between PRCR, and the research findings can also provide insights for other regions.http://www.sciencedirect.com/science/article/pii/S1470160X23009391Synergistic pollution and carbon reductionSpatial patternDistribution characteristicsEvolutionary trendYellow River Basin |
| spellingShingle | Xiaolan Chen Qinggang Meng Kaikai Wang Yufei Liu Wanfang Shen Spatial patterns and evolution trend of coupling coordination of pollution reduction and carbon reduction along the Yellow River Basin, China Ecological Indicators Synergistic pollution and carbon reduction Spatial pattern Distribution characteristics Evolutionary trend Yellow River Basin |
| title | Spatial patterns and evolution trend of coupling coordination of pollution reduction and carbon reduction along the Yellow River Basin, China |
| title_full | Spatial patterns and evolution trend of coupling coordination of pollution reduction and carbon reduction along the Yellow River Basin, China |
| title_fullStr | Spatial patterns and evolution trend of coupling coordination of pollution reduction and carbon reduction along the Yellow River Basin, China |
| title_full_unstemmed | Spatial patterns and evolution trend of coupling coordination of pollution reduction and carbon reduction along the Yellow River Basin, China |
| title_short | Spatial patterns and evolution trend of coupling coordination of pollution reduction and carbon reduction along the Yellow River Basin, China |
| title_sort | spatial patterns and evolution trend of coupling coordination of pollution reduction and carbon reduction along the yellow river basin china |
| topic | Synergistic pollution and carbon reduction Spatial pattern Distribution characteristics Evolutionary trend Yellow River Basin |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X23009391 |
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