Green Transition Assessment, Spatial Correlation, and Obstacles Identification: Evidence from Urban Governance Data of 288 Cities in China
The green transition of China’s cities is crucial for ecology civilization realization. Based on the driver–pressure–state–impact–response (DPSIR) framework, an integrated technique for order preference by similarity to ideal solution (TOPSIS) model with entropy weight, this study achieved the compr...
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MDPI AG
2024-03-01
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| Series: | Land |
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| Online Access: | https://www.mdpi.com/2073-445X/13/3/341 |
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| author | Ziao Yu Tianjiao Guo Xiaoqian Song Lifan Zhang Linmei Cai Xi Zhang Aiwen Zhao |
| author_facet | Ziao Yu Tianjiao Guo Xiaoqian Song Lifan Zhang Linmei Cai Xi Zhang Aiwen Zhao |
| author_sort | Ziao Yu |
| collection | DOAJ |
| description | The green transition of China’s cities is crucial for ecology civilization realization. Based on the driver–pressure–state–impact–response (DPSIR) framework, an integrated technique for order preference by similarity to ideal solution (TOPSIS) model with entropy weight, this study achieved the comprehensive assessment of the green transition of 288 province-level municipalities and prefecture-level cities in China over 18 years from 2002 to 2019, in addition to the spatial correlations and obstacles analysis. The results indicate that major cities in China have a more significant green transition value, and the eastern region is developing fast, while the northeast region is relatively slow. There was heterogeneous spatial distribution for green transition, because of the disequilibrium sustainable development of 288 cities. Green transition has a significantly positive spatial autocorrelation in the cities of China, the high–high significant clusters greatly increased, and the main locations changed from the northeast to southeast of China. Frequent obstacles were also found, including road infrastructure construction, water resources, and the green coverage of urban built-up areas. Based on these results, several policy implications were put forward, including the optimization of environmental laws and regulations, the development of green transportation infrastructure, resource conservation and the circular economy, the establishment of a green financial system, and increasing the linkage for the green transition of different cities. |
| first_indexed | 2024-04-24T18:05:57Z |
| format | Article |
| id | doaj.art-61837b01874a46e6bd1cbda42098a804 |
| institution | Directory Open Access Journal |
| issn | 2073-445X |
| language | English |
| last_indexed | 2024-04-24T18:05:57Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Land |
| spelling | doaj.art-61837b01874a46e6bd1cbda42098a8042024-03-27T13:50:43ZengMDPI AGLand2073-445X2024-03-0113334110.3390/land13030341Green Transition Assessment, Spatial Correlation, and Obstacles Identification: Evidence from Urban Governance Data of 288 Cities in ChinaZiao Yu0Tianjiao Guo1Xiaoqian Song2Lifan Zhang3Linmei Cai4Xi Zhang5Aiwen Zhao6School of Economics, Lanzhou University, Lanzhou 730000, ChinaSchool of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, ChinaSchool of International and Public Affairs, Shanghai Jiao Tong University, Shanghai 200030, ChinaSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, ChinaSchool of Economics and Management, Yan’an University, Yan’an 716000, ChinaSchool of Business, University of Shanghai for Science and Technology, Shanghai 200093, ChinaCollege of Finance, Xuzhou University of Technology, Xuzhou 221018, ChinaThe green transition of China’s cities is crucial for ecology civilization realization. Based on the driver–pressure–state–impact–response (DPSIR) framework, an integrated technique for order preference by similarity to ideal solution (TOPSIS) model with entropy weight, this study achieved the comprehensive assessment of the green transition of 288 province-level municipalities and prefecture-level cities in China over 18 years from 2002 to 2019, in addition to the spatial correlations and obstacles analysis. The results indicate that major cities in China have a more significant green transition value, and the eastern region is developing fast, while the northeast region is relatively slow. There was heterogeneous spatial distribution for green transition, because of the disequilibrium sustainable development of 288 cities. Green transition has a significantly positive spatial autocorrelation in the cities of China, the high–high significant clusters greatly increased, and the main locations changed from the northeast to southeast of China. Frequent obstacles were also found, including road infrastructure construction, water resources, and the green coverage of urban built-up areas. Based on these results, several policy implications were put forward, including the optimization of environmental laws and regulations, the development of green transportation infrastructure, resource conservation and the circular economy, the establishment of a green financial system, and increasing the linkage for the green transition of different cities.https://www.mdpi.com/2073-445X/13/3/341green transitionDPSIRentropy–TOPSISGISurban governance |
| spellingShingle | Ziao Yu Tianjiao Guo Xiaoqian Song Lifan Zhang Linmei Cai Xi Zhang Aiwen Zhao Green Transition Assessment, Spatial Correlation, and Obstacles Identification: Evidence from Urban Governance Data of 288 Cities in China Land green transition DPSIR entropy–TOPSIS GIS urban governance |
| title | Green Transition Assessment, Spatial Correlation, and Obstacles Identification: Evidence from Urban Governance Data of 288 Cities in China |
| title_full | Green Transition Assessment, Spatial Correlation, and Obstacles Identification: Evidence from Urban Governance Data of 288 Cities in China |
| title_fullStr | Green Transition Assessment, Spatial Correlation, and Obstacles Identification: Evidence from Urban Governance Data of 288 Cities in China |
| title_full_unstemmed | Green Transition Assessment, Spatial Correlation, and Obstacles Identification: Evidence from Urban Governance Data of 288 Cities in China |
| title_short | Green Transition Assessment, Spatial Correlation, and Obstacles Identification: Evidence from Urban Governance Data of 288 Cities in China |
| title_sort | green transition assessment spatial correlation and obstacles identification evidence from urban governance data of 288 cities in china |
| topic | green transition DPSIR entropy–TOPSIS GIS urban governance |
| url | https://www.mdpi.com/2073-445X/13/3/341 |
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