“中四角”绿色水资源利用效率时空分异及其影响因素——基于非期望产出SBM-DEA和地理探测器模型

Spatial-Temporal Differentiation of Green Water Utilization Efficiency and Its Influencing Factors in“Four-City Area in Middle China”:Based on SBM-DEA Model with Undesired Outputs and Geographical Detector Model

利用非期望产出SBM-DEA模型测度了2010-2019年“中四角”绿色水资源利用效率(GWUE),采用空间自相关及冷热点分析方法探索GWUE的时空分异特征,并运用地理探测器模型深入探寻GWUE空间分异的关键影响因素。结果表明:(1)“中四角”GWUE高效区主要来源武汉城市群,低效区主要来源于环鄱阳湖城市群;各城市的GWUE具有明显的时空差异性,空间自相关性不显著,但空间分布格局由随机分布逐渐向集聚分布演变。(2)2010年经济发展水平和人口密度是影响“中四角”GWUE空间分异的主要因素,2015年经济发展水平和医疗资源占用情况成为GWUE空间分异的主要推动因子,2019年医疗资源占用情况和政府重视程度对GWUE空间分异起决定作用。

The SBM-DEA model of unexpected output was used to measure green water utilization efficiency(GWUE)of“four-city area in middle China”from 2010 to 2019,spatial autocorrelation and cold-hot analysis methods was used to explore the spatial-temporal differentiation characteristics of GWUE,and the geodetector model was applied to identify key factors influencing of GWUE spatial differentiation.The results showed that:(1)GWUE high-efficiency area in“four-city area in middle China”mainly came from Wuhan urban agglomeration,while the low-efficiency area mainly came from the Poyang Lake urban agglomeration.GWUE of different cities has obvious spatial-temporal differences,and their spatial autocorrelation is not significant,but the spatial distribution pattern gradually changes from random distribution to agglomeration distribution.(2)In 2010,the economic development level and population density were the main factors affecting the spatial differentiation of GWUE.In 2015,the economic development level and the medical resources occupation were the main driving factors for the spatial differentiation of GWUE.In 2019,the medical resources occupation and the government attention degree played a decisive role in the spatial differentiation of GWUE.