Spatiotemporal Differentiation and Driving Factors of Green Efficiency of Agricultural Water Use in China

Liu Shixiang; Cao Jian

doi:10.13961/j.cnki.stbctb.2023.06.040

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Spatiotemporal Differentiation and Driving Factors of Green Efficiency of Agricultural Water Use in China

- Spatiotemporal Differentiation and Driving Factors of Green Efficiency of Agricultural Water Use in China
- Bulletin of Soiland Water Conservation Vol. 43, Issue 6, Pages: 346-357(2023)
- 作者机构：
  
  新疆农业大学, 经济管理学院,新疆,乌鲁木齐,830052
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2023.06.040
  CLC： F326
- Published：2023
- 稿件说明：
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Liu Shixiang, Cao Jian. Spatiotemporal Differentiation and Driving Factors of Green Efficiency of Agricultural Water Use in China[J]. Bulletin of Soiland Water Conservation, 2023, 43(6): 346-357.
DOI：

Liu Shixiang, Cao Jian. Spatiotemporal Differentiation and Driving Factors of Green Efficiency of Agricultural Water Use in China[J]. Bulletin of Soiland Water Conservation, 2023, 43(6): 346-357. DOI： 10.13961/j.cnki.stbctb.2023.06.040.

摘要

[目的] 探究中国农业用水绿色效率的时空分异及演变特征，分析中国农业发展现状，为进一步推进农业高质量发展提供科学参考。[方法] 利用超效率（evidence-based model，EBM）模型测算2001—2020年中国大陆31个省区（不含港澳台地区）的农业用水绿色效率。在此基础上运用核密度（kernel density estimation，KDE）估计法进行非参数检验，并通过ArcGIS图示法探究全国不同地区农业用水绿色效率的时空分异及演进特征，最后利用地理探测器考察不同驱动因素对农业用水绿色效率的综合影响。[结果] ①2001—2020年全国农业用水绿色效率（各省年平均）经历了先上升后下降的变化。②全国的农业用水绿色效率在空间上呈现出“北低南高”“西低东高”的现象。③全国农业用水绿色效率地区差距呈缩小态势，存在动态收敛性特征，各个省份内部的农业用水绿色效率均存在不同程度的两极分化现象，其中西北地区的核密度曲线最为平缓，两极分化现象最为严重。④技术水平、资源禀赋、生态环境对中国农业用水绿色效率的影响程度整体高于经济发展水平。[结论] 各省区应结合自身优势，从农业技术水平、农村社会福利等方面出发，推动提升农业用水绿色效率。

Abstract

[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.

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