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Transformation of Rural Space under the Impact of Tourism: The Case of Xiamen, China

Author

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  • Jinkun Yang

    (School of Cultural Industries and Tourism, Xiamen University of Technology, Xiamen 361024, China)

  • Haitao Ma

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Lisheng Weng

    (College of Humanities & Social Development, Nanjing Agricultural University, Nanjing 210095, China)

Abstract

Tourism plays a key role in sustaining economic development. Previous research has established the connections between tourism and urban growth, as well as the influence of tourism on population and social structure, and the impact of tourism on the landscape. Fewer studies have been conducted on the impact of tourism on the process of rural development change, especially how rural spatial transformation and local community development are driven through tourism. This paper investigates the link between tourism and rural spatial development in China, using in-depth interviews. The research demonstrates that the ambiguity of collective land ownership in China is a key factor in the process of village development. The transformation of villages from “production space” to “consumption space” is driven by tourism based on the land institution arrangement. It is hoped that this research will contribute to a deeper understanding that tourism should be valued in the future as part of the village development process, especially when tourism plays a long-term role in promoting village development.

Suggested Citation

  • Jinkun Yang & Haitao Ma & Lisheng Weng, 2022. "Transformation of Rural Space under the Impact of Tourism: The Case of Xiamen, China," Land, MDPI, vol. 11(6), pages 1-12, June.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:6:p:928-:d:841278
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    References listed on IDEAS

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    7. Gongyi Jiang & Weijun Gao & Meng Xu & Mingjia Tong & Zhonghui Liu, 2023. "Geographic Information Visualization and Sustainable Development of Low-Carbon Rural Slow Tourism under Artificial Intelligence," Sustainability, MDPI, vol. 15(4), pages 1-24, February.

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