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武陵山片区旅游扶贫效果分析
引用本文:王志标,李丹丹.武陵山片区旅游扶贫效果分析[J].中国农业资源与区划,2019,40(8):122-132.
作者姓名:王志标  李丹丹
作者单位:长江师范学院武陵山区特色资源开发与利用研究中心,重庆408100; 河南大学中原文化产业创新与发展研究中心,开封475004,河南大学中原文化产业创新与发展研究中心,开封475004
基金项目:教育部人文社科规划项目“旅游地声誉形成机制及其对旅游者行为的影响”(15YJA790062); 国家旅游局重点科研项目“旅游对国民经济和社会发展的贡献度测算”(16TAAK008); 河南省哲学社会科学规划项目“河南文化消费的经济贡献及其优化发展研究”(2016BJJ008); 长江师范学院引进人才科研启动项目(2017KYQD97)
摘    要:目的]分析武陵山片区旅游扶贫的现状,对旅游扶贫效果进行评价,以期为提高区域旅游扶贫效果提供参考,并提出有针对性和可操作性的政策建议。方法]利用武陵山片区县域的相关数据,基于数据包络分析方法建立了投入产出指标体系,利用LINGO编程测算了各个县域旅游扶贫效率和相对有效性,之后进行了投影分析,并提出了相应的建议。结果]武陵山片区整体的旅游扶贫效率为0.550,处于中等水平;对于黔江区和务川仡佬族苗族自治县来说模型的最优解为1,这表明黔江区和务川县是DEA有效的,同时是技术有效和规模有效的,其他县域模型的最优解均小于1,为非DEA有效;相对于现有的产出指标水平, 2016年武陵山片区大部分县域旅游业的投入冗余额均小于0。结论]武陵山片区县域的旅游扶贫发展不均衡,大部分县域旅游业处于投入过量阶段。应提高资源配置合理化程度,因地制宜开展旅游扶贫工作,加强旅游扶贫与市场需求间的有机联系,形成合理有效的旅游扶贫链,使旅游能够真正成为群众脱贫的利器。

关 键 词:武陵山片区旅游扶贫扶贫效果数据包络分析CCR模型
收稿时间:2018/6/3 0:00:00

ANALYSIS ON THE EFFECT OF POVERTY ALLEVIATION BY TOURISM IN WULING MOUNTAIN REGION
Wang Zhibiao and Li Dandan.ANALYSIS ON THE EFFECT OF POVERTY ALLEVIATION BY TOURISM IN WULING MOUNTAIN REGION[J].Journal of China Agricultural Resources and Regional Planning,2019,40(8):122-132.
Authors:Wang Zhibiao and Li Dandan
Institution:Research Centre of Exploiting and Utilizing Featured Resources in Wuling Mountainous Area, Yangtze Normal University, Chongqing 408100, China; Research Centre of Innovation and Development of Cultural Industries in the Central Plains, Henan University, Kaifeng, Henan 475004, China and Research Centre of Innovation and Development of Cultural Industries in the Central Plains, Henan University, Kaifeng, Henan 475004, China
Abstract:This research aims to study and analyze the status quo of tourism poverty alleviation in Wuling Mountain Area and evaluate the effect of tourism poverty alleviation, so as to provide reference for improving regional tourism poverty alleviation effect, and put forward pertinent and operational policy recommendations. By using the relevant data of Wuling Mountain area, this research established the input output index system based on the data envelopment analysis method, used LENGO programming to measure the poverty alleviation efficiency and relative effectiveness of each county, and then carried out projection analysis and proposed corresponding recommendations. The results showed that the overall tourism poverty alleviation efficiency in the Wuling Mountain area was 0.550, which was at a medium level; the optimal solutions for the Qianjiang and Wuchuan Miao Autonomous Counties were both 1, which were valid for DEA, and technology and scale were both effective. The best solutions for other counties in the model were all less than 1, which were effective for non DEA. Compared with the existing output indicator level, the input of tourism in most counties in Wuling Mountain Area in 2016 was redundant. Both were less than 0. It is concluded that the development of poverty alleviation among the counties of Wuling Mountain is uneven and most of the counties tourism are in the phase of excessive investment. It is necessary to increase the rationalization of resource allocation, implement tourism poverty alleviation work according to local conditions, strengthen the organic links between tourism poverty alleviation and market demand, and form a rational and effective poverty alleviation chain for tourism, so that tourism can truly become a tool for people to get rid of poverty.
Keywords:Wuling Mountain Region  poverty alleviation through tourism  the effect of poverty alleviation  data envelopment analysis  CCR model
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