IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i23p16487-d1292647.html
   My bibliography  Save this article

The Spatial–Temporal Characteristics and Driving Forces of the Coupled and Coordinated Development between New Urbanization and Rural Revitalization

Author

Listed:
  • Guofu Li

    (College of Statistics and Data Science, Xinjiang University of Finance and Economics, Urumqi 830012, China)

  • Xiue Zhang

    (School of Business and Management, Jilin University, Changchun 130012, China)

Abstract

In the 21st century’s global push for sustainable development, strategies for new urbanization and rural revitalization in China have transitioned from traditional geographic expansion to a focus on high-quality integration across ecological, social, and economic dimensions. Employing advanced methods such as the entropy weight TOPSIS, coupling coordination model, kernel density estimation, Markov chain, and geographic detector, this study comprehensively explores the spatiotemporal dynamics and driving mechanisms of urban–rural integration in China from 2001 to 2022. Key findings reveal increasing coupling coordination degrees in each province, with significant spatial variations. Notably, during the 15th Five-Year Plan, all regions, including eastern, central, and western areas, exhibited low-level coupling coordination. However, a decreasing ladder-like distribution emerged during the 13th and 14th Five-Year Plans, forming a development pattern centered on eastern coastal regions and spreading inland. The central regions experienced significant changes in development kernel density, while the national eastern and western regions remained relatively stable. Looking ahead, highly coupled regions are expected to maintain leadership, positively influencing neighboring areas and propelling overall urban–rural development towards sustainable goals. Conversely, low-level coupled regions require deeper reforms for leap-frog development. The core driving forces behind spatiotemporal differences in coupling coordination degrees involve innovation within the environment, government capabilities, openness to the outside world, and population agglomeration. Secondary roles are played by factors like non-agricultural industrialization, per capita GDP, government investment, and market conditions, while education, healthcare, transportation, and natural resource levels act as bridges in spatiotemporal differentiation. Overall, this study provides a concise spatiotemporal interpretation and strategic recommendations for urban–rural sustainable integration development, advancing towards a more harmonious, green, and just future in alignment with the core principles of sustainable development.

Suggested Citation

  • Guofu Li & Xiue Zhang, 2023. "The Spatial–Temporal Characteristics and Driving Forces of the Coupled and Coordinated Development between New Urbanization and Rural Revitalization," Sustainability, MDPI, vol. 15(23), pages 1-27, December.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:23:p:16487-:d:1292647
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/23/16487/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/23/16487/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Weiwei Li & Ping Zhang & Kaixu Zhao & Hua Chen & Sidong Zhao, 2023. "The Evolution Model of and Factors Influencing Digital Villages: Evidence from Guangxi, China," Agriculture, MDPI, vol. 13(3), pages 1-26, March.
    2. Zhengxin Li & Chengjun Liu & Xihui Chen, 2022. "Power of Digital Economy to Drive Urban-Rural Integration: Intrinsic Mechanism and Spatial Effect, from Perspective of Multidimensional Integration," IJERPH, MDPI, vol. 19(23), pages 1-20, November.
    3. Yang, Yuanyuan & Liu, Yansui & Li, Yurui & Li, Jintao, 2018. "Measure of urban-rural transformation in Beijing-Tianjin-Hebei region in the new millennium: Population-land-industry perspective," Land Use Policy, Elsevier, vol. 79(C), pages 595-608.
    4. Junjie Cao & Yao Zhang & Taoyuan Wei & Hui Sun, 2021. "Temporal–Spatial Evolution and Influencing Factors of Coordinated Development of the Population, Resources, Economy and Environment (PREE) System: Evidence from 31 Provinces in China," IJERPH, MDPI, vol. 18(24), pages 1-22, December.
    5. Chen, Danling & Hu, Wenbo & Li, Yuying & Zhang, Chaozheng & Lu, Xinhai & Cheng, Hui, 2023. "Exploring the temporal and spatial effects of city size on regional economic integration: Evidence from the Yangtze River Economic Belt in China," Land Use Policy, Elsevier, vol. 132(C).
    6. Linqing Fang & Zhihao Liu & Caiyu Jin, 2023. "How Does the Integration of Cultural Tourism Industry Affect Rural Revitalization? The Mediating Effect of New Urbanization," Sustainability, MDPI, vol. 15(14), pages 1-22, July.
    7. Xiaojuan Yang & Weiwei Li & Ping Zhang & Hua Chen & Min Lai & Sidong Zhao, 2023. "The Dynamics and Driving Mechanisms of Rural Revitalization in Western China," Agriculture, MDPI, vol. 13(7), pages 1-26, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Bo & Li, Fan & Feng, Shuyi & Shen, Tong, 2020. "Transfer of development rights, farmland preservation, and economic growth: a case study of Chongqing’s land quotas trading program," Land Use Policy, Elsevier, vol. 95(C).
    2. Gean Carlos Gonzaga da Silva & Priscila Celebrini de Oliveira Campos & Marcelo de Miranda Reis & Igor Paz, 2023. "Spatiotemporal Land Use and Land Cover Changes and Associated Runoff Impact in Itaperuna, Brazil," Sustainability, MDPI, vol. 16(1), pages 1-19, December.
    3. Yao Zhang & Taoyuan Wei & Wentao Tian & Kai Zhao, 2022. "Spatiotemporal Differentiation and Driving Mechanism of Coupling Coordination between New-Type Urbanization and Ecological Environment in China," Sustainability, MDPI, vol. 14(18), pages 1-19, September.
    4. Qianqian Huang & Benhong Peng & Xin Sheng & Anxia Wan, 2022. "Exploring new ideas for sustainable development of urban agglomerations-based on the coupling of people’s livelihood and environmental governance," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(8), pages 9985-10004, August.
    5. Francisco Javier Castellano-Álvarez & Rafael Robina-Ramírez & Francisco Silva, 2024. "Rural Areas Facing the Challenge of Economic Diversification: Threats and Opportunities," Agriculture, MDPI, vol. 14(4), pages 1-5, April.
    6. Yue, Wenze & Wang, Tianyu & Liu, Yong & Zhang, Qun & Ye, Xinyue, 2019. "Mismatch of morphological and functional polycentricity in Chinese cities: An evidence from land development and functional linkage," Land Use Policy, Elsevier, vol. 88(C).
    7. Fei Wang & Zhi Dong & Jichang Dong, 2023. "Assessment of the Drivers and Effects of International Science and Technology Cooperation in Xinjiang in the Context of the Belt and Road Initiative," Sustainability, MDPI, vol. 15(2), pages 1-20, January.
    8. Shu-Yi Chi & Tsorng-Chyi Hwang & Li-Hsien Chien, 2023. "Business Policy and Competitiveness of Farmers’ Organizations—Empirical Evidence from Taiwan," Agriculture, MDPI, vol. 13(3), pages 1-17, February.
    9. Ma, Wenqiu & Jiang, Guanghui & Chen, Yunhao & Qu, Yanbo & Zhou, Tao & Li, Wenqing, 2020. "How feasible is regional integration for reconciling land use conflicts across the urban–rural interface? Evidence from Beijing–Tianjin–Hebei metropolitan region in China," Land Use Policy, Elsevier, vol. 92(C).
    10. Gantian Zheng & Weiwei Wang & Chang Jiang & Fan Jiang, 2023. "Can Rural Industrial Convergence Improve the Total Factor Productivity of Agricultural Environments: Evidence from China," Sustainability, MDPI, vol. 15(23), pages 1-20, November.
    11. Lin Zhu & Mingying Yang & Wenzhuo Li & Heping Liao & Han Huang, 2021. "The Spatial–Temporal Changes of the Coupling Relationship among Agricultural Labor Force, Agricultural Economy, and Farmland in Chongqing," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    12. He, Qingsong & Xu, Min & Xu, Zike & Ye, Yanmei & Shu, Xianfan & Xie, Peng & Wu, Jiayu, 2019. "Promotion incentives, infrastructure construction, and industrial landscapes in China," Land Use Policy, Elsevier, vol. 87(C).
    13. Jiacheng Man & Jianxu Liu & Baomin Cui & Yuanqing Sun & Songsak Sriboonchitta, 2023. "Coupling and Coordination between Digital Economy and Urban–Rural Integration in China," Sustainability, MDPI, vol. 15(9), pages 1-18, April.
    14. Zeng, Zhaozhao & Song, Bingjie & Zheng, Xiaodong & Li, Huan, 2019. "Changes of traffic network and urban transformation: A case study of Xi’an city, China," Land Use Policy, Elsevier, vol. 88(C).
    15. Alan T. Murray & Tony H. Grubesic, 2019. "Evolving Regional Analytics in a Rural World," International Regional Science Review, , vol. 42(5-6), pages 374-399, September.
    16. Xiaojun Ye & Lingyun Fan & Cheng Lei, 2023. "Intensive-Use-Oriented Performance Evaluation and Optimization of Rural Industrial Land: A Case Study of Wujiang District, China," Sustainability, MDPI, vol. 15(11), pages 1-19, May.
    17. Su, Kangchuan & Hu, Baoqing & Shi, Kaifang & Zhang, Zhongxun & Yang, Qingyuan, 2019. "The structural and functional evolution of rural homesteads in mountainous areas: A case study of Sujiaying village in Yunnan province, China," Land Use Policy, Elsevier, vol. 88(C).
    18. Wu, Changyan & Huang, Xianjin & Chen, Bowen, 2020. "Telecoupling mechanism of urban land expansion based on transportation accessibility: A case study of transitional Yangtze River economic Belt, China," Land Use Policy, Elsevier, vol. 96(C).
    19. Yue Cheng & Dong Zheng, 2023. "Does the Digital Economy Promote Coordinated Urban–Rural Development? Evidence from China," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
    20. Lu, Xin-hai & Jiang, Xu & Gong, Meng-qi, 2020. "How land transfer marketization influence on green total factor productivity from the approach of industrial structure? Evidence from China," Land Use Policy, Elsevier, vol. 95(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:23:p:16487-:d:1292647. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.