Abstract: Taking11 provinces and cities along the Yangtze river economic belt cover as the research unit, using the application of DEA data envelope analysis method to measure the efficiency of tourism poverty relief along the Yangtze river economic belt provinces from 2011 to 2015, and through the Malmquist productivity index model, this paper figures out the changes of the tourism poverty relief efficiency of the cities. Then ArcGIS software is used to analyze the global spatial autocorrelation of The Yangtze river economic belt tourism poverty relief efficiency and the Yangtze river economic belt local spatial autocorrelation.The results show that the efficiency of the Yangtze river economic belt tourism poverty alleviation is rising, tourism poverty alleviation efficiency of spatial agglomeration degree is not high, has no obvious agglomeration phenomenon, the Yangtze river economic belt tourism poverty alleviation efficiency is growing on the whole, tourism poverty alleviation efficiency high value area is moving to the east. According to the tourism poverty alleviation size and tourism poverty alleviation efficiency changes, the provinces and cities within the Yangtze river economic belt are divided into potential type and gold type. In the end, some suggestions for its development are given.

Key words: tourism poverty alleviation efficiency, the evolution of time and space, DEA, GIS, the Yangtze river economic belt

摘要： 以长江经济带覆盖的11个省市为研究单位，应用DEA数据包络分析法测算出长江经济带各省市2010—2014年的旅游扶贫效率，并通过Malmquist生产率指数模型计算出各省市旅游扶贫效率的变化情况。通过ArcGIS软件分析长江经济带整体旅游扶贫效率的全局空间自相关情况，以及长江经济带局部空间自相关情况。结果表明：长江经济带旅游扶贫效率呈现上升趋势，旅游扶贫效率空间集聚程度不高，没有明显的集聚现象，长江经济带旅游扶贫效率增长率总体亦呈增长趋势，旅游扶贫效率高值区向东部移动。根据旅游扶贫效率大小和旅游扶贫效率变化两个维度将长江经济带内的省市划分为朝阳型与黄金型，并对其发展提出建议。

关键词: 旅游扶贫效率, 时空演变, DEA, GIS, 长江经济带