基于超效率SBM模型的黄河中下游生态效率测度与空间相关性分析

Ecological Efficiency Measurement and Spatial Correlation Analysis in the Middle and Lower Reaches of the Yellow River Based on the Super-SBM Model

  • 摘要: 以黄河中下游54个市域为研究对象,运用基于非期望产出的超效率SBM模型(Super-SBM Model)、空间自相关模型等方法,研究了2010—2019年黄河中下游生态效率的时空演变格局,并分析了黄河中下游生态效率的空间相关性。结果表明:(1)黄河中下游生态效率总体上处于较低水平,且年度间和市域间生态效率差异显著。(2)2010—2019年黄河中下游的生态效率评价值在时间维度上呈现“升-降-升”的演变趋势,空间上呈现东部、西部地区两端生态效率较高,中北部地区生态效率较低的格局。(3)黄河中下游地区生态效率在空间上全局自相关特征显著,局部空间关联集聚特征不显著。黄河中下游市域生态效率的Moran’s I值呈现“先减后增再减”趋势,空间依赖性先减弱后增加再减弱。

     

    Abstract: Taking 54 cities in the middle and lower reaches of the Yellow River as the research objects, using Super-SBM model and spatial correlation model, the spatio-temporal ecological efficiency and the spatial correlation from 2010 to 2019 are studied. The results show that: (1) The ecological efficiency of the middle and lower reaches of the Yellow River is generally at a low level, and the ecological efficiency varies significantly between years and cities.(2) From 2010 to 2019, the ecological efficiency evaluation value of the middle and lower reaches of the Yellow River shows an evolution trend of "rising-falling-rising" in the time dimension. In space, the ecological efficiency of the eastern and western regions is higher, and the ecological efficiency of the central and northern regions is lower.(3) The ecological efficiency in the middle and lower reaches of the Yellow River has significant global autocorrelation characteristics in space, while local spatial correlation aggregation characteristics are not significant. The Moran's I value of the urban ecological efficiency in the middle and lower reaches of the Yellow River shows a trend of "first decrease, then increase and then decrease", and the spatial dependence first weakens, then increases and then weakens.

     

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