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Rural Spatial Differentiation and Revitalization Approaches in China: A Case Study of Qingdao City

Author

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  • Xiaohua Cheng

    (School of Political Science and Public Administration, Shandong University, Qingdao 266237, China)

  • Difei Xu

    (School of Political Science and Public Administration, Shandong University, Qingdao 266237, China)

  • Hui Sun

    (School of Political Science and Public Administration, Shandong University, Qingdao 266237, China)

  • Meiyi Zheng

    (School of Political Science and Public Administration, Shandong University, Qingdao 266237, China)

  • Jintao Li

    (School of Political Science and Public Administration, Shandong University, Qingdao 266237, China
    Institute of Governance, Shandong University, Qingdao 266237, China
    Institute of Quality of Life and Public Policy, Shandong University, Qingdao 266237, China)

Abstract

Rural revitalization, as a major strategy with the goal of realizing the overall development of strong agriculture industries, beautiful rural areas, and rich farmers, is an effective way of alleviating the loss of talent, land, capital, and other elements in rural areas and a possible cure for “rural diseases”. However, “rural diseases” faced by villages are very different, and thus exploring suitable strategies for rural revitalization is beneficial to the implementation of rural revitalization strategies and the promotion of urban–rural integration. Based on location theory, this paper constructs a point–axis–domain three-dimensional spatial location theory model that integrates market location, traffic location, and natural location and combines the coupling coordination model to comprehensively study the vitality and development directions of Qingdao’s rural areas. Results found that Qingdao’s high-level and medium–high-level coupling coordination areas are the main types of coupling coordination, accounting for 45.19% and 47.48%, respectively. Based on the development status of Qingdao, this study explores development directions for rural revitalization poles as well as high-level, medium–high-level, and medium-level coupling coordination areas and suggests the following: rural revitalization poles should play a demonstration role in rural revitalization in terms of industrial development, rural civilization, social governance, public service construction, etc.; high-level coupling coordination areas should focus on building modern hi-tech agriculture and rural marine tourism industries; medium–high-level coupling coordination areas should strengthen the building of satellite towns and promote industrial transformation and upgrading; medium-level coupling coordination areas should actively develop ecological environment conservation models and establish a characteristic mountainous eco-tourism industry. Thus, the findings provide important scientific reference for the implementation of rural revitalization.

Suggested Citation

  • Xiaohua Cheng & Difei Xu & Hui Sun & Meiyi Zheng & Jintao Li, 2022. "Rural Spatial Differentiation and Revitalization Approaches in China: A Case Study of Qingdao City," IJERPH, MDPI, vol. 19(24), pages 1-16, December.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:24:p:16924-:d:1005541
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    References listed on IDEAS

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    1. Yuexu Zhao & Ruyue Li, 2022. "Coupling and Coordination Analysis of Digital Rural Construction from the Perspective of Rural Revitalization: A Case Study from Zhejiang Province of China," Sustainability, MDPI, vol. 14(6), pages 1-14, March.
    2. Zhou, Yang & Li, Yamei & Xu, Chenchen, 2020. "Land consolidation and rural revitalization in China: Mechanisms and paths," Land Use Policy, Elsevier, vol. 91(C).
    3. Zhou, Yang & Li, Xunhuan & Liu, Yansui, 2020. "Land use change and driving factors in rural China during the period 1995-2015," Land Use Policy, Elsevier, vol. 99(C).
    4. Gordon F. Mulligan, 1984. "Agglomeration and Central Place Theory: A Review of the Literature," International Regional Science Review, , vol. 9(1), pages 1-42, September.
    5. Shi, Linna & Wang, Yongsheng, 2021. "Evolution characteristics and driving factors of negative decoupled rural residential land and resident population in the Yellow River Basin," Land Use Policy, Elsevier, vol. 109(C).
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    Cited by:

    1. Jintao Li & Lei Chu, 2024. "Spatiotemporal Evolution and Transformation Regulation Strategies of Rural Residential Land on the Grand Canal (China)," Land, MDPI, vol. 13(5), pages 1-23, April.

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