多源遥感数据支持下的县域尺度生态效率测算及稳健性检验——以长江中游城市群为例

生态效率是评价区域生态文明水平的重要依据,也是地理学与经济学开展资源环境综合研究的常用指标和变量,县域尺度生态效率测度的研究匮乏,制约了上述问题在县域层面上开展。在长江经济带生态优先和绿色发展国家战略下,以长江中游城市群为研究区域,依托多源遥感数据构建县域尺度生态效率测算指标体系,应用非合意产出超效率EBM模型测算2000-2015年县域生态效率,利用GIS空间分析工具揭示其时空分异规律和空间关联特征。并设计稳健性检验方案,对县域尺度生态效率测度路径科学性及稳健性进行检验。结果表明：（1）各年份长株潭城市群和环鄱阳湖城市群所辖县域的生态效率均优于武汉城市圈所辖县域;（2）研究期内生态效率维持高位区域包括武汉市辖区等12个县市,生态效率持续低值区域包括瑞昌市等7个县市;（3）县域生态效率H-H集聚区由衡阳市、株洲市及其周边至2015年成片消失,L-L集聚区则按照顺时针走向,逐步形成围绕武汉市的闭合环形区域;（4）基于市域生态效率排名对比的稳健性检验表明,县域生态效率测度路径和结果具有较高可信度。

Calculation and robustness test of county-scale ecological efficiency based on multi-source remote sensing data:Taking the urban agglomeration in the Middle Reaches of Yangtze River as an example

Ecological efficiency is an important basis for evaluating the level of regional ecological civilization. It is also a common index and variable for the comprehensive study of resources and environment in geography and economics. The lack of research on the measure of ecological efficiency at the county level has restricted the above-mentioned problems to be researched at the county level. Constructing a scientific path for measuring ecological efficiency at the county level is conducive to accurately identifying the regional economic and social ecological development pattern and providing a possibility for county-level government green performance assessment. Under the national strategy of ecological priority and green development of the Yangtze River economic belt, taking the middle reaches of the Yangtze River as the research area and relying on the multi-source remote sensing data to construct the index system for estimating the ecological efficiency of the county scale, the ecological efficiency of the county area from 2000 to 2015 was calculated by using the non-consensual output EBM super efficiency model, and the GIS spatial analysis tool was used to reveal spatial differences and spatial correlation characteristics. A robust test scheme is designed to test the scientificity and robustness of the county-scale ecoefficiency measurement path. The results show that: (1) The ecological efficiency of the counties under the jurisdiction of Changsha-Zhuzhou-Xiangtan urban agglomeration and Poyang Lake urban agglomeration is better than that of the counties under the jurisdiction of Wuhan urban agglomeration. (2) During the study period, the ecological efficiency of 12 counties and cities such as Wuhan maintained a high level, while that of 7 counties and cities such as Ruichang maintained a low level. (3) The H-H concentration area of ecological efficiency in the early stage is mainly in Hengyang, Zhuzhou and its surrounding areas. By 2015, these areas had disappeared. The L-L agglomeration area of ecological efficiency follows the clockwise trend and gradually forms a closed circular area around the city of Wuhan. (4) The robustness test based on the comparison of city ecological efficiency rankings shows that the measurement path and results of county ecological efficiency constructed in this paper have high reliability.