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A Study on the Efficiency of Tourism Poverty Alleviation in Ethnic Regions Based on the Staged DEA Model

机译:基于阶段DEA模型的民族地区旅游扶贫效率研究

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Poverty alleviation through tourism is an important way for China to achieve targeted poverty alleviation and win the battle of poverty alleviation. As a region with deep poverty and great difficulty in poverty alleviation, whether tourism development has injected key impetus into ethnic minority areas needs to be tested by both qualitative analysis and quantitative measurement. This paper takes eight ethnic provinces (regions) in China as an example to conduct an empirical study. Based on the Data Envelopment Analysis (DEA)-BCC model and Malmquist index, it evaluates the tourism investment and tourism poverty alleviation efficiency of the ethnic regions in the two stages of tourism poverty alleviation, and analyzes them by classification. The results of the study show: (1) The pure technical efficiency in the first stage is relatively high, but the total factor productivity of each region is declining; (2) The pure technical efficiency in the second stage is also relatively high, but the scale efficiency is low, and the change rate of total factor productivity of the provinces in China has increased significantly; (3) The “double high” type includes Guangxi, Inner Mongolia, and Guizhou, and the “double low” type includes Qinghai, Yunnan, Tibet, Xinjiang, and Ningxia. The results of the study generally show that tourism poverty alleviation has brought about the improvement of the living standards of residents and the development of local economy, but the efficiency of tourism poverty alleviation needs to be improved. On this basis, the article puts forward corresponding improvement measures, in order to further help the ethnic minority areas get rid of poverty in a comprehensive way by promoting the efficient and sustainable development of tourism.
机译:通过旅游减轻扶贫是中国实现有针对性的扶贫和赢得扶贫战斗的重要途径。作为一个受贫困深度困难和困难的地区,旅游开发是否注入了少数民族地区的关键推动,需要通过定性分析和定量测量来测试。本文在中国占有八个民族省(地区)作为实施实证研究的示例。基于数据包络分析(DEA)-BCC模型和Malmquist指数,它评估了在旅游贫困减轻的两个阶段的民族地区的旅游投资和旅游扶贫效率,并通过分类分析了它们。研究结果表明:(1)第一阶段的纯技术效率相对较高,但每个地区的总因素生产率下降; (2)第二阶段的纯技术效率也相对较高,但规模效率低,中国省市总系数的变化率显着增加; (3)“双高”类型包括广西,内蒙古和贵州,“双低”类型包括青海,云南,西藏,新疆和宁夏。研究结果普遍认为,旅游贫困缓解带来了改善居民生活水平和地方经济的发展,但需要改善旅游贫困减轻效率。在此基础上,文章提出了相应的改进措施,以进一步帮助少数民族地区通过促进旅游业的有效和可持续发展,以全面地摆脱贫困。

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