中文摘要：

研究目标：农业用水效率在区域层面的空间交互影响效应。研究方法：利用Global超效率DEA模型和全要素用水效率指标测度中国省际农业用水效率，并首次采用VAR框架下的脉冲响应函数识别中国农业用水效率的空间交互影响效应。研究发现：中国农业用水效率呈持续升高趋势；在空间格局上呈东高西低、南高北低的总体分布态势；由于中国农业用水效率的集聚特征仅体现在小范围地区，而在整体上未呈现明显的空间集聚特征，传统的空间计量模型并不适用于识别农业用水效率的空fg交互影响。研究创新：基于VAR框架下的脉冲响应函数分析结果表明，不同区域的农业用水效率之间确实存在空间交互影响。研究价值：充分利用空间交互影响效应实现农业用水效率的空间协同提升。

英文摘要：

Research Objective： To identify the spatial interaction effect of agricultural water use ef- ficiency （AWE） at the regional level. Research Methods： Measuring the China＇s provincial AWE with Global Super-efficiency DEA and total factor water efficiency index, and for the first time using the impulse response function under the VAR framework to identify the spa- tial interactive effect of AWE. Research Findings： China＇s AWE is continuously increasing and presents the overall distribution situation that the eastern region is higher than the west- ern region and the southern region is higher than the northern region. Since the spatial ag- glomeration of China＇s AWE exists only in some small areas but not on the whole. The tradi- tional spatial econometric model is not suitable for identifying the spatial interaction effects of AWE. Research Innovations： The analysis results of the impulse response function with the VAR framework shows that AWE has indeed spatial interaction among different re- gions. Research Values： Making full use of spatial interaction effect to improve China＇s AWE collaboratively.