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Spatial Distribution Characteristics and Influencing Factors of Key Rural Tourism Villages in China

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  • Yunxing Zhang

    (School of Architectural and Artistic Design, Henan Polytechnic University, No.142 Jiefang Road, Jiaozuo 454000, China)

  • Weizhen Li

    (School of Architectural and Artistic Design, Henan Polytechnic University, No.142 Jiefang Road, Jiaozuo 454000, China)

  • Ziyang Li

    (School of Architectural and Artistic Design, Henan Polytechnic University, No.142 Jiefang Road, Jiaozuo 454000, China)

  • Meiyu Yang

    (School of Architectural and Artistic Design, Henan Polytechnic University, No.142 Jiefang Road, Jiaozuo 454000, China)

  • Feifei Zhai

    (School of Architectural and Artistic Design, Henan Polytechnic University, No.142 Jiefang Road, Jiaozuo 454000, China)

  • Zhigang Li

    (School of Architectural and Artistic Design, Henan Polytechnic University, No.142 Jiefang Road, Jiaozuo 454000, China)

  • Heng Yao

    (L&A Academy, Shenzhen L&A Design Holding Limited, No.6 Xinghua Road, Shenzhen 518067, China)

  • Haidong Li

    (School of Architectural and Artistic Design, Henan Polytechnic University, No.142 Jiefang Road, Jiaozuo 454000, China)

Abstract

Key villages of rural tourism have become an important carrier for the high-quality development of rural tourism. The precise identification of the spatial distribution characteristics and influencing factors of rural tourism key villages is of great value in promoting the quality upgrading of rural tourism in China and realizing the goal of rural revitalization strategy. The aim is to realize the complementary coordination and integration of urban and rural areas, promote rural transformation and increase farmers’ incomes. Taking three batches of 1199 key rural tourism villages in China as research samples, the nearest neighbor index, disequilibrium index and kernel density methods were used to reveal the spatial differentiation characteristics of key rural tourism villages and the influencing factors were further analyzed using the geographical connection rate and buffer analysis. The results showed that (1) the key villages of rural tourism demonstrated a typical agglomeration in the spatial distribution, with the Hu Huanyong line as the obvious boundary. (2) The very high-density agglomeration centers were mainly located in the Beijing–Tianjin–Hebei region and the Yangtze River Delta region, while the high-density agglomeration zones were mainly located in the North China Plain on the east side of the Taihang Mountains and the middle and lower reaches of the Yangtze River Basin. (3) The spatial distribution characteristics of hot regions were in the central and eastern regions; however, the cold regions were in the northwest and northeast regions. (4) The spatial distribution characteristics of key rural tourism villages were the result of the interaction and coupling of multiple factors. The key villages of rural tourism were mainly distributed in plain and hilly areas with dense river networks, dense populations, high levels of economic development, developed transportation and suburban areas.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:14064-:d:956339
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    Cited by:

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    2. Xinyu Xie & Ying Zhang & Xiaoping Qiu, 2023. "Spatial Distribution Characteristics and Influencing Factors of Rural Governance Demonstration Villages in China," IJERPH, MDPI, vol. 20(5), pages 1-20, March.
    3. Xiaodong Zhang & Haoying Han & Yongjun Tang & Zhilu Chen, 2023. "Spatial Distribution Characteristics and Driving Factors of Tourism Resources in China," Land, MDPI, vol. 12(5), pages 1-16, May.
    4. 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.
    5. Chuanchuan Yuan & Mu Jiang, 2023. "Migration and Land Exploitation from Yuan to Qing Dynasties: Insights from 252 Traditional Villages in Hunan, China," Sustainability, MDPI, vol. 15(2), pages 1-17, January.
    6. Tiansong Zhu & Kaiping Yu & Bo Wang, 2023. "Spatial Distribution Characteristics and Influencing Factors of Cultural and Tourism Resources in Xihu District of Hangzhou," Sustainability, MDPI, vol. 15(14), pages 1-20, July.
    7. Guanglei Yang & Lixin Wu & Liang Xie & Zhezheng Liu & Zhe Li, 2023. "Study on the Distribution Characteristics and Influencing Factors of Traditional Villages in the Yunnan, Guangxi, and Guizhou Rocky Desertification Area," Sustainability, MDPI, vol. 15(20), pages 1-23, October.
    8. Xiaogang Feng & Moqing Hu & Sekhar Somenahalli & Xinyuan Bian & Meng Li & Zaihui Zhou & Fengxia Li & Yuan Wang, 2023. "A Study of Spatio-Temporal Differentiation Characteristics and Driving Factors of Shaanxi Province’s Traditional Heritage Villages," Sustainability, MDPI, vol. 15(10), pages 1-18, May.
    9. Shiying Li & Yuhong Song & Hua Xu & Yijiao Li & Shaokun Zhou, 2023. "Spatial Distribution Characteristics and Driving Factors for Traditional Villages in Areas of China Based on GWR Modeling and Geodetector: A Case Study of the Awa Mountain Area," Sustainability, MDPI, vol. 15(4), pages 1-19, February.

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