Spatiotemporal Characteristics and Influencing Factors of Water Resources’ Green Utilization Efficiency in China: Based on the EBM Model with Undesirable Outputs and SDM Model
A shortage of water resources is a global issue of common concern. The contribution of the article mainly includes the following two parts. First is the study of water resources’ green utilization efficiency (WRGUE) in 30 provincial administrative units of China from 2009 to 2019 by adopting the eps...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-09-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/14/18/2908 |
| _version_ | 1797481128301428736 |
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| author | Liangen Zeng Peilin Li Zhao Yu Yang Nie Shengzhang Li Guangye Gao Di Huang |
| author_facet | Liangen Zeng Peilin Li Zhao Yu Yang Nie Shengzhang Li Guangye Gao Di Huang |
| author_sort | Liangen Zeng |
| collection | DOAJ |
| description | A shortage of water resources is a global issue of common concern. The contribution of the article mainly includes the following two parts. First is the study of water resources’ green utilization efficiency (WRGUE) in 30 provincial administrative units of China from 2009 to 2019 by adopting the epsilon-based measure (EBM) model with undesirable outputs, which can yield a more accurate and reasonable assessment result. In addition, the spatial Durbin model was applied to analyze the driving factors of the WRGUE, which considers the spatial effects. The results are as follows: (1) The discrepancy of the WRGUE in different regions of China is conspicuous, with the highest in East China, followed by the central and the western region, while the Northeast is the lowest. A general decrease trend from China’s southeast coastal area to the northwest inland is presented. (2) Global spatial autocorrelation analysis shows a significant positive spatial autocorrelation in the WRGUE of the 30 sample provinces. However, the local spatial autocorrelation analysis shows that the WRGUE in China presents stronger spatial homogeneity than heterogeneity. (3) The levels of technology advancement, economic development, and the Opening-up policy implementation serve as positive factors influencing the WRGUE in China. On the contrary, the urbanization level has a significant negative impact on the WRGUE. The results of this paper may have great value for sustainable water resource utilization. |
| first_indexed | 2024-03-09T22:11:02Z |
| format | Article |
| id | doaj.art-142772a316e14194a14509914823c80c |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-09T22:11:02Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-142772a316e14194a14509914823c80c2023-11-23T19:32:08ZengMDPI AGWater2073-44412022-09-011418290810.3390/w14182908Spatiotemporal Characteristics and Influencing Factors of Water Resources’ Green Utilization Efficiency in China: Based on the EBM Model with Undesirable Outputs and SDM ModelLiangen Zeng0Peilin Li1Zhao Yu2Yang Nie3Shengzhang Li4Guangye Gao5Di Huang6College of Urban and Environmental Sciences, Peking University, Beijing 100871, ChinaInstitute of Spatial Planning and Regional Economy, Chinese Academy of Macroeconomic Research, Beijing 100038, ChinaFaculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, ChinaGuanghua School of Management, Peking University, Beijing 100871, ChinaSmart City College, Beijing Union University, Beijing 100101, ChinaManagement College, Ocean University of China, Qingdao 266100, ChinaSchool of Environment, Beijing Normal University, Beijing 100875, ChinaA shortage of water resources is a global issue of common concern. The contribution of the article mainly includes the following two parts. First is the study of water resources’ green utilization efficiency (WRGUE) in 30 provincial administrative units of China from 2009 to 2019 by adopting the epsilon-based measure (EBM) model with undesirable outputs, which can yield a more accurate and reasonable assessment result. In addition, the spatial Durbin model was applied to analyze the driving factors of the WRGUE, which considers the spatial effects. The results are as follows: (1) The discrepancy of the WRGUE in different regions of China is conspicuous, with the highest in East China, followed by the central and the western region, while the Northeast is the lowest. A general decrease trend from China’s southeast coastal area to the northwest inland is presented. (2) Global spatial autocorrelation analysis shows a significant positive spatial autocorrelation in the WRGUE of the 30 sample provinces. However, the local spatial autocorrelation analysis shows that the WRGUE in China presents stronger spatial homogeneity than heterogeneity. (3) The levels of technology advancement, economic development, and the Opening-up policy implementation serve as positive factors influencing the WRGUE in China. On the contrary, the urbanization level has a significant negative impact on the WRGUE. The results of this paper may have great value for sustainable water resource utilization.https://www.mdpi.com/2073-4441/14/18/2908water resources green utilization efficiencyspatial autocorrelation analysisspatial Durbin model |
| spellingShingle | Liangen Zeng Peilin Li Zhao Yu Yang Nie Shengzhang Li Guangye Gao Di Huang Spatiotemporal Characteristics and Influencing Factors of Water Resources’ Green Utilization Efficiency in China: Based on the EBM Model with Undesirable Outputs and SDM Model Water water resources green utilization efficiency spatial autocorrelation analysis spatial Durbin model |
| title | Spatiotemporal Characteristics and Influencing Factors of Water Resources’ Green Utilization Efficiency in China: Based on the EBM Model with Undesirable Outputs and SDM Model |
| title_full | Spatiotemporal Characteristics and Influencing Factors of Water Resources’ Green Utilization Efficiency in China: Based on the EBM Model with Undesirable Outputs and SDM Model |
| title_fullStr | Spatiotemporal Characteristics and Influencing Factors of Water Resources’ Green Utilization Efficiency in China: Based on the EBM Model with Undesirable Outputs and SDM Model |
| title_full_unstemmed | Spatiotemporal Characteristics and Influencing Factors of Water Resources’ Green Utilization Efficiency in China: Based on the EBM Model with Undesirable Outputs and SDM Model |
| title_short | Spatiotemporal Characteristics and Influencing Factors of Water Resources’ Green Utilization Efficiency in China: Based on the EBM Model with Undesirable Outputs and SDM Model |
| title_sort | spatiotemporal characteristics and influencing factors of water resources green utilization efficiency in china based on the ebm model with undesirable outputs and sdm model |
| topic | water resources green utilization efficiency spatial autocorrelation analysis spatial Durbin model |
| url | https://www.mdpi.com/2073-4441/14/18/2908 |
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