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The Measurement and Temporal and Spatial Evolution of Tourism Poverty Alleviation Efficiency in the Liupan Mountain Area of Gansu Province, China

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  • Yaobin Wang

    (College of Tourism, Northwest Normal University, Lanzhou 730070, China
    Yaobin Wang and Ying Song have contributed equally to this work and shared first authorship.)

  • Ying Song

    (Tongzhou District Bureau of Urban Administration and Law Enforcement of Beijing Municipality, Beijing 101100, China
    Yaobin Wang and Ying Song have contributed equally to this work and shared first authorship.)

  • Guangfeng Chen

    (National Agricultural Technology Extension Service Center, Beijing 100020, China)

  • Shihua Huang

    (School of Education, Lanzhou University of Arts and Sciences, Lanzhou 730070, China)

  • Meizhen Wang

    (College of Tourism, Northwest Normal University, Lanzhou 730070, China)

  • Yinggang Pan

    (College of Tourism, Northwest Normal University, Lanzhou 730070, China)

Abstract

Poverty is a chronic problem all over the world. Since the 18th National Congress of the Communist Party of China was held in 2012, the Chinese government has continuously increased its poverty alleviation efforts. In addition, absolute poverty in China was eliminated by the end of 2020. Tourism has played an important role in poverty alleviation. To explore the role of the tourism industry in reducing poverty, this paper takes the Liupan Mountain area of Gansu Province in western China, as a case site. An input–output evaluation index system was constructed, and a Super-SBM model was used to evaluate the tourism poverty alleviation efficiency in 40 districts and counties in the Liupan Mountain area from 2009 to 2018. The results show that the overall starting point of tourism poverty alleviation efficiency in the study area was high, which needed to be further optimized. The difference in tourism poverty alleviation efficiency among districts and counties tended to decrease in the time series. The restrictive factors were the lack of technological progress and lack of innovation. The spatial distribution of tourism poverty alleviation efficiency in the study area presented a pattern of high in the east and low in the west, high in the north and low in the south. In the future, the tourism poverty alleviation efficiency in the concentrated and contiguous destitute areas of the Liupan Mountain area in Gansu Province could be improved by cultivating the tourism industry, strengthening technological innovation, cultivating core growth poles, and exerting radiation effects.

Suggested Citation

  • Yaobin Wang & Ying Song & Guangfeng Chen & Shihua Huang & Meizhen Wang & Yinggang Pan, 2021. "The Measurement and Temporal and Spatial Evolution of Tourism Poverty Alleviation Efficiency in the Liupan Mountain Area of Gansu Province, China," Sustainability, MDPI, vol. 13(22), pages 1-19, November.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:22:p:12637-:d:679982
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    References listed on IDEAS

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    2. Caroline Ashley & Dilys Roe, 2002. "Making tourism work for the poor: Strategies and challenges in southern Africa," Development Southern Africa, Taylor & Francis Journals, vol. 19(1), pages 61-82.
    3. Su, Lujun & Swanson, Scott R., 2017. "The effect of destination social responsibility on tourist environmentally responsible behavior: Compared analysis of first-time and repeat tourists," Tourism Management, Elsevier, vol. 60(C), pages 308-321.
    4. Su, Lujun & Hsu, Maxwell K. & Boostrom, Robert E., 2020. "From recreation to responsibility: Increasing environmentally responsible behavior in tourism," Journal of Business Research, Elsevier, vol. 109(C), pages 557-573.
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    1. Ren, Tiantian & Wang, Na & Xiao, Helu & Zhou, Zhongbao, 2024. "Efficiency of funding to rural revitalization and regional heterogeneity of technologies in China: Dynamic network nonconvex metafrontiers," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    2. Haoran Bai & Nan Li, 2024. "Exploring Green Economic Efficiency Trends in Dominant Chinese Urban Agglomerations: A Super-Efficient SBM Model Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 10325-10348, September.

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