4.7 Article

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

Journal

FRONTIERS IN PSYCHOLOGY
Volume 12, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fpsyg.2021.642966

Keywords

ethnic regions; tourism poverty alleviation efficiency; two-staged Data Envelopment Analysis; Malmquist index; tourism

Funding

  1. Humanities and Social Sciences Grant of the Chinese Ministry of Education [16YJAZH069]
  2. Key Research Support Project for Professional Graduate Students of the Ministry of Culture and Tourism of China in 2019 [WLRCY2019-037]
  3. Guizhou University of Finance and Economics
  4. Ministry of Commerce Institute of International Trade and Economic Cooperation Joint Fund Project of China [2017SWBZD14]
  5. Humanities and Social Science Project of Higher Education Institutions of the Education Department of Guizhou Province [2019ZD10]

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This study examines the efficiency and effects of tourism poverty alleviation in eight ethnic provinces in China using Data Envelopment Analysis and the Malmquist index. The results show that tourism poverty alleviation has led to improvements in living standards and local economic development, but efficiency still needs to be improved. The article proposes improvement measures to promote sustainable tourism development and help ethnic minority areas eradicate poverty.
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.

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