Spatiotemporal Differentiation and Driving Factors of Green Efficiency of Agricultural Water Use in China
[Objective] The spatiotemporal differentiation and evolution characteristics of the green efficiency of agricultural water use in China and the current status of Chinese agricultural development were analyzed in order to further promote high-quality development of agriculture. [Methods] The super-ef...
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Science Press
2023-12-01
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| Series: | Shuitu baochi tongbao |
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| Online Access: | http://stbctb.alljournal.com.cn/stbctben/article/abstract/20230640 |
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| author | Liu Shixiang Cao Jian |
| author_facet | Liu Shixiang Cao Jian |
| author_sort | Liu Shixiang |
| collection | DOAJ |
| description | [Objective] The spatiotemporal differentiation and evolution characteristics of the green efficiency of agricultural water use in China and the current status of Chinese agricultural development were analyzed in order to further promote high-quality development of agriculture. [Methods] The super-efficiency evidence-based model (EBM) was used to estimate the green efficiency of agricultural water in 31 provinces and cities during 2001—2020. On this basis, kernel density estimation (KDE) was used to conduct non-parametric tests, and ArcGIS graphics were used to explore the spatiotemporal differentiation and evolution characteristics of the green efficiency of agricultural water use in different regions of China. Finally, the geographical detector method was used to investigate the comprehensive influence of different driving factors on the green efficiency of agricultural water use. [Results] ① From 2001 to 2020, the national green efficiency of agricultural water use (the annual average of each province) initially increased and then decreased. ② The national green efficiency of agricultural water use showed a spatial pattern of “lower in the north and higher in the south”, “lower in the west and higher in the east”. ③ The regional gap of the green efficiency of water use in China showed a narrowing trend, with dynamic convergence characteristics. The green efficiency of agricultural water use in each province was polarized to varying degrees, among which the nuclear density curve in Northwest China was the most gentle, and the polarization was the most serious. ④ Technical level, resource endowment, and ecological environment had greater influence on the green efficiency of agricultural water use than economic development level. [Conclusion] Each province should combine its own advantages and promote the green efficiency of agricultural water use from the aspects of agricultural technology level and rural social welfare. |
| format | Article |
| id | doaj-art-c30776a24aaa4eb0bc7ae1b3bcef7587 |
| institution | Kabale University |
| issn | 1000-288X |
| language | zho |
| publishDate | 2023-12-01 |
| publisher | Science Press |
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| series | Shuitu baochi tongbao |
| spelling | doaj-art-c30776a24aaa4eb0bc7ae1b3bcef75872024-11-13T04:30:50ZzhoScience PressShuitu baochi tongbao1000-288X2023-12-0143634635710.13961/j.cnki.stbctb.2023.06.0401000-288X(2023)06-0346-12Spatiotemporal Differentiation and Driving Factors of Green Efficiency of Agricultural Water Use in ChinaLiu Shixiang0Cao Jian1College of Economics and Management, Xinjiang Agricultural University, Urumqi, Xinjiang 830052, ChinaCollege of Economics and Management, Xinjiang Agricultural University, Urumqi, Xinjiang 830052, China[Objective] The spatiotemporal differentiation and evolution characteristics of the green efficiency of agricultural water use in China and the current status of Chinese agricultural development were analyzed in order to further promote high-quality development of agriculture. [Methods] The super-efficiency evidence-based model (EBM) was used to estimate the green efficiency of agricultural water in 31 provinces and cities during 2001—2020. On this basis, kernel density estimation (KDE) was used to conduct non-parametric tests, and ArcGIS graphics were used to explore the spatiotemporal differentiation and evolution characteristics of the green efficiency of agricultural water use in different regions of China. Finally, the geographical detector method was used to investigate the comprehensive influence of different driving factors on the green efficiency of agricultural water use. [Results] ① From 2001 to 2020, the national green efficiency of agricultural water use (the annual average of each province) initially increased and then decreased. ② The national green efficiency of agricultural water use showed a spatial pattern of “lower in the north and higher in the south”, “lower in the west and higher in the east”. ③ The regional gap of the green efficiency of water use in China showed a narrowing trend, with dynamic convergence characteristics. The green efficiency of agricultural water use in each province was polarized to varying degrees, among which the nuclear density curve in Northwest China was the most gentle, and the polarization was the most serious. ④ Technical level, resource endowment, and ecological environment had greater influence on the green efficiency of agricultural water use than economic development level. [Conclusion] Each province should combine its own advantages and promote the green efficiency of agricultural water use from the aspects of agricultural technology level and rural social welfare.http://stbctb.alljournal.com.cn/stbctben/article/abstract/20230640agricultural water use green efficiencysuper-efficiency ebm-geodetector modelkernel density estimationspatiotemporal differentiationdriving factors |
| spellingShingle | Liu Shixiang Cao Jian Spatiotemporal Differentiation and Driving Factors of Green Efficiency of Agricultural Water Use in China Shuitu baochi tongbao agricultural water use green efficiency super-efficiency ebm-geodetector model kernel density estimation spatiotemporal differentiation driving factors |
| title | Spatiotemporal Differentiation and Driving Factors of Green Efficiency of Agricultural Water Use in China |
| title_full | Spatiotemporal Differentiation and Driving Factors of Green Efficiency of Agricultural Water Use in China |
| title_fullStr | Spatiotemporal Differentiation and Driving Factors of Green Efficiency of Agricultural Water Use in China |
| title_full_unstemmed | Spatiotemporal Differentiation and Driving Factors of Green Efficiency of Agricultural Water Use in China |
| title_short | Spatiotemporal Differentiation and Driving Factors of Green Efficiency of Agricultural Water Use in China |
| title_sort | spatiotemporal differentiation and driving factors of green efficiency of agricultural water use in china |
| topic | agricultural water use green efficiency super-efficiency ebm-geodetector model kernel density estimation spatiotemporal differentiation driving factors |
| url | http://stbctb.alljournal.com.cn/stbctben/article/abstract/20230640 |
| work_keys_str_mv | AT liushixiang spatiotemporaldifferentiationanddrivingfactorsofgreenefficiencyofagriculturalwateruseinchina AT caojian spatiotemporaldifferentiationanddrivingfactorsofgreenefficiencyofagriculturalwateruseinchina |