IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i5p578-d1384245.html
   My bibliography  Save this article

Spatiotemporal Evolution and Transformation Regulation Strategies of Rural Residential Land on the Grand Canal (China)

Author

Listed:
  • Jintao Li

    (School of Politics and Public Administration, Shandong University, Qingdao 266200, China
    Quality of Life and Public Policy Research, Shandong University, Qingdao 266237, China
    Institute of Governance, Shandong University, Qingdao 266200, China)

  • Lei Chu

    (School of Politics and Public Administration, Shandong University, Qingdao 266200, China
    Quality of Life and Public Policy Research, Shandong University, Qingdao 266237, China)

Abstract

Land use is an embodiment of human socio-economic activities and represents a bridge between these activities and natural systems. Rural residential land represents a space for rural residents to reside in and exhibits spatial characteristics that evolve over time, which is proof of rural socio-economic development. As one of the most developed regions in China, cities along the Beijing–Hangzhou Canal experienced significant changes in rural residential land use from 1990 to 2020. This paper analyses the spatial differentiation of rural residential land in 21 cities on the Grand Canal. Then, it explores the driving factors of this land using spatial grid analysis and the geographic detector model. According to the spatial differentiation characteristics and the driving factors of rural residential land, the study proposed an improved potential model for rural residential land improvement. Lastly, it proposes three different forms of rural residential land based on the results. The study found that (1) the change in rural residential land in the northern part of the Grand Canal was more volatile than that in the southern part. The change in rural residential land from 1990 to 2020 conformed to the pattern of cultivated land–rural residential land–urban construction land. (2) Based on the driving factors of rural residential land, the land is divided into one-dimensional cities, two-dimensional cities, and three-dimensional cities. Circular, linear, and scattered cities of different sizes were affected by socio-economic factors, transportation accessibility, and the natural environment, respectively. (3) Based on the potential scale of rural residential land consolidation, different types of development strategies were proposed through research, including constructing large-scale villages, relocating and reconstructing new villages, and constructing high-quality villages, respectively. Enhancing the scientific planning of rural residential land and its efficiency and tapping into the potential of land consolidation can offer the protection of agricultural land and the integration of urban and rural areas in the new era.

Suggested Citation

  • 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 1-24, April.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:5:p:578-:d:1384245
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/5/578/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/13/5/578/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jian-Zhou Wei & Kai Zheng & Feng Zhang & Chao Fang & Yu-Yu Zhou & Xue-Cao Li & Feng-Min Li & Jian-Sheng Ye, 2019. "Migration of Rural Residents to Urban Areas Drives Grassland Vegetation Increase in China’s Loess Plateau," Sustainability, MDPI, vol. 11(23), pages 1-18, November.
    2. Ma, Wenqiu & Jiang, Guanghui & Zhang, Ruijuan & Li, Yuling & Jiang, Xiaoguang, 2018. "Achieving rural spatial restructuring in China: A suitable framework to understand how structural transitions in rural residential land differ across peri-urban interface?," Land Use Policy, Elsevier, vol. 75(C), pages 583-593.
    3. Ogrodnik, Karolina & Kolendo, Łukasz, 2021. "Application of gis technology and AHP to determine the areas with fully developed, compact functional and spatial structure: A case study of Bialystok, Poland," Land Use Policy, Elsevier, vol. 109(C).
    4. Gerty Lensvelt-Mulders & Joop Hox & Peter Heijden, 2005. "How to Improve the Efficiency of Randomised Response Designs," Quality & Quantity: International Journal of Methodology, Springer, vol. 39(3), pages 253-265, June.
    5. Daizhong Tang & Baorui Li & Yuan Qiu & Linlin Zhao, 2020. "Research on Urban and Rural Coordination Development and Its Driving Force Based on the Space-time Evolvement Taking Guangdong Province as an Example," Land, MDPI, vol. 9(8), pages 1-18, July.
    6. 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.
    7. Zhang, Zhengfeng & Liu, Jing & Gu, Xiaokun, 2019. "Reduction of industrial land beyond Urban Development Boundary in Shanghai: Differences in policy responses and impact on towns and villages," Land Use Policy, Elsevier, vol. 82(C), pages 620-630.
    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. Jianglin Lu & Keqiang Wang & Hongmei Liu, 2022. "Residents’ Selection Behavior of Compensation Schemes for Construction Land Reduction: Empirical Evidence from Questionnaires in Shanghai, China," Land, MDPI, vol. 12(1), pages 1-29, December.
    2. Kajal Dihidar & Joydeep Chowdhury, 2013. "Enhancing a Randomized Response Model to Estimate Population Means to Sensitive Questions," Mathematical Population Studies, Taylor & Francis Journals, vol. 20(3), pages 123-136, July.
    3. Yin, Xu & Wang, Jing & Li, Yurui & Feng, Zhiming & Wang, Qianyi, 2021. "Are small towns really inefficient? A data envelopment analysis of sampled towns in Jiangsu province, China," Land Use Policy, Elsevier, vol. 109(C).
    4. Pavel Dietz & Anne Quermann & Mireille Nicoline Maria van Poppel & Heiko Striegel & Hannes Schröter & Rolf Ulrich & Perikles Simon, 2018. "Physical and cognitive doping in university students using the unrelated question model (UQM): Assessing the influence of the probability of receiving the sensitive question on prevalence estimation," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-12, May.
    5. Dai, Bing & Gu, Xiaokun & Xie, Boming, 2020. "Policy Framework and Mechanism of Life Cycle Management of Industrial Land (LCMIL) in China," Land Use Policy, Elsevier, vol. 99(C).
    6. Jia Gao & Ge Song & Shuhan Liu, 2022. "Factors influencing farmers’ willingness and behavior choices to withdraw from rural homesteads in China," Growth and Change, Wiley Blackwell, vol. 53(1), pages 112-131, March.
    7. Jianglin Lu & Keqiang Wang & Hongmei Liu, 2023. "Land Development Rights, Spatial Injustice, and the Economic Development in Net-Incremental Reduction Regions of Construction Land: Evidence from Shanghai, China," IJERPH, MDPI, vol. 20(3), pages 1-25, January.
    8. 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).
    9. Zhang, Yingnan & Long, Hualou & Li, Yurui & Ge, Dazhuan & Tu, Shuangshuang, 2020. "How does off-farm work affect chemical fertilizer application? Evidence from China’s mountainous and plain areas," Land Use Policy, Elsevier, vol. 99(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. Xiao Gong & Xiaolin Zhang & Jieyi Tao & Hongbo Li & Yunrui Zhang, 2022. "An Evaluation of the Development Performance of Small County Towns and Its Influencing Factors: A Case Study of Small Towns in Jiangyin City in the Yangtze River Delta, China," Land, MDPI, vol. 11(7), pages 1-22, July.
    12. Fang He & Wendong Wu & Taozhi Zhuang & Yuan Yi, 2019. "Exploring the Diverse Expectations of Stakeholders in Industrial Land Redevelopment Projects in China: The Case of Shanghai," Sustainability, MDPI, vol. 11(17), pages 1-27, August.
    13. Yujie Jiang & Ni Li & Ziyue Wang, 2023. "Parametric Reconstruction of Traditional Village Morphology Based on the Space Gene Perspective—The Case Study of Xiaoxi Village in Western Hunan, China," Sustainability, MDPI, vol. 15(3), pages 1-33, January.
    14. Felix Wolter & Peter Preisendörfer, 2013. "Asking Sensitive Questions," Sociological Methods & Research, , vol. 42(3), pages 321-353, August.
    15. Jian Tian & Suiping Zeng & Jian Zeng & Sen Wang, 2022. "How Urban Expansion Triggers Spatio-Temporal Differentiation of Systemic Risk in Suburban Rural Areas: A Case Study of Tianjin, China," Land, MDPI, vol. 11(11), pages 1-25, October.
    16. Guanglong Dong & Wenxin Zhang & Xinliang Xu & Kun Jia, 2021. "Multi-Dimensional Feature Recognition and Policy Implications of Rural Human–Land Relationships in China," Land, MDPI, vol. 10(10), pages 1-17, October.
    17. Liao, Liuwen & Long, Hualou & Gao, Xiaolu & Ma, Enpu, 2019. "Effects of land use transitions and rural aging on agricultural production in China’s farming area: A perspective from changing labor employing quantity in the planting industry," Land Use Policy, Elsevier, vol. 88(C).
    18. 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).
    19. Siqi Liu & Biao Peng & Jianfeng Li, 2022. "Ecological Risk Evaluation and Source Identification of Heavy Metal Pollution in Urban Village Soil Based on XRF Technique," Sustainability, MDPI, vol. 14(9), pages 1-19, April.
    20. Suxia Zhao & Mengmeng Yin, 2023. "Research on Rural Population/Arable Land/Rural Settlements Association Model and Coordinated Development Path: A Case Analysis of the Yellow River Basin (Henan Section)," IJERPH, MDPI, vol. 20(5), pages 1-15, February.

    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:jlands:v:13:y:2024:i:5:p:578-:d:1384245. 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.