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

• Published in: Shuitu baochi tongbao Vol. 43; no. 6; pp. 346 - 357
• Main Authors: Liu Shixiang, Cao Jian
• Format: Journal Article
• Language: Chinese
• Published: Science Press 01.12.2023
• Subjects: agricultural water use green efficiency; driving factors; kernel density estimation; spatiotemporal differentiation; super-efficiency ebm-geodetector model
• ISSN: 1000-288X
• DOI: 10.13961/j.cnki.stbctb.2023.06.040

[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) init