中国农业用水效率的分布格局与空间交互影响:1998～2013年

发布时间：2018-03-08 09:29

本文选题：农业用水效率　切入点：空间交互　出处：《数量经济技术经济研究》2017年02期 　论文类型：期刊论文

【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间交互影响。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。
[Abstract]:Research objective: spatial interaction effect of agricultural water use efficiency at the regional level. Methods: using Global super-efficiency DEA model and all-factor water use efficiency index to measure the interprovincial agricultural water use efficiency in China. For the first time, the impulse response function based on VAR framework is used to identify the spatial interaction effect of agricultural water use efficiency in China. It is found that the agricultural water use efficiency of China is increasing continuously, and the spatial pattern of agricultural water use efficiency is low in the east, high in the east and low in the west. Because the agglomeration characteristics of agricultural water use efficiency in China are only reflected in a small area, but there is no obvious spatial agglomeration feature in the whole, The traditional spatial metering model is not suitable to identify the spatial interaction of agricultural water use efficiency. Research innovation: the impulse response function analysis based on VAR framework shows that, There does exist spatial interaction between agricultural water use efficiency in different regions. Research value: fully utilize spatial interaction effect to achieve spatial coordination enhancement of agricultural water use efficiency.
【作者单位】：山东财经大学公共管理学院;中国科学院新疆生态与地理研究所;
【基金】：国家社科基金青年项目“资源环境约束下农业用水效率评价及提升路经研究”(15CGL041) 山东省高校人文社科研究项目“资源环境约束下山东省工业用水效率的测度及提升对策研究”(J16YE06)的资助
【分类号】：F224;F323.213

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