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Spatial Distribution Characteristics of the Rural Tourism Villages in the Qinghai-Tibetan Plateau and Its Influencing Factors

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  • Jianwei Qi

    (Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Yayan Lu

    (Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Fang Han

    (Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Xuankai Ma

    (Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Zhaoping Yang

    (Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

The development of rural tourism (RT) has great significance in reducing poverty and achieving rural vitalization. Qinghai-Tibetan Plateau (QTP) is a depressed area with rich RT resources due to its unspoiled nature and diverse culture. For future sustainable development of RT in QTP, this paper analyzes the spatial distribution characteristics and its influencing factors of RT villages using various spatial analysis methods, such as nearest neighbor index, kernel density estimation, vector buffer analysis, and geographic detectors. The results show the following. First, the RT villages present an agglomeration distribution tendency dense in the southeast and spare in the northwest. The inter-county imbalance distribution feature is obvious and four relatively high-density zones have been formed. Second, the RT villages have significant positive spatial autocorrelation, and the area of cold spots is larger and of hot spots is smaller. Third, the RT villages are mainly distributed with favorable topographic and climate conditions, near the road and water, around the city, and close to tourism resources. Fourth, the spatial distribution is the result of multifactor interactions. Socio-economic and tourism resource are the dominant factor in the mechanism network. Fifth, based on the above conclusions this study provides scientific suggestions for the sustainable development of the RT industry.

Suggested Citation

  • Jianwei Qi & Yayan Lu & Fang Han & Xuankai Ma & Zhaoping Yang, 2022. "Spatial Distribution Characteristics of the Rural Tourism Villages in the Qinghai-Tibetan Plateau and Its Influencing Factors," IJERPH, MDPI, vol. 19(15), pages 1-21, July.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:15:p:9330-:d:876215
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    References listed on IDEAS

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    Cited by:

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    5. Yunxing Zhang & Weizhen Li & Ziyang Li & Meiyu Yang & Feifei Zhai & Zhigang Li & Heng Yao & Haidong Li, 2022. "Spatial Distribution Characteristics and Influencing Factors of Key Rural Tourism Villages in China," Sustainability, MDPI, vol. 14(21), pages 1-26, October.
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    7. Ruiying Kuang & Yingying Zuo & Shen Gao & Penghua Yin & Yiting Wang & Zixi Zhang & Shiman Cai & Na Li, 2023. "Research on the Spatial Distribution Characteristics and Influencing Factors of Central China’s Intangible Cultural Heritage," Sustainability, MDPI, vol. 15(7), pages 1-14, March.
    8. Bingqian Li & Jun Wang & Yibing Jin, 2022. "Spatial Distribution Characteristics of Traditional Villages and Influence Factors Thereof in Hilly and Gully Areas of Northern Shaanxi," Sustainability, MDPI, vol. 14(22), pages 1-29, November.
    9. Shanshan Shi & Mi Li & Ziqiang Li & Jianchao Xi, 2023. "Spatial Heterogeneity and Influencing Factors of High-Grade Tourist Attractions in the Tibetan Plateau," IJERPH, MDPI, vol. 20(5), pages 1-16, March.
    10. Mi Yan & Qingmiao Li & Jiazhen Zhang, 2023. "Rethinking Industrial Heritage Tourism Resources in the EU: A Spatial Perspective," Land, MDPI, vol. 12(8), pages 1-32, July.

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