IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i7p990-d1429340.html
   My bibliography  Save this article

Spatial Differentiation and Environmental Controls of Land Consolidation Effectiveness: A Remote Sensing-Based Study in Sichuan, China

Author

Listed:
  • Jinhao Bao

    (School of Public Affairs, Zhejiang University, Hangzhou 310058, China
    These authors contributed equally to this work.)

  • Sucheng Xu

    (School of Public Affairs, Zhejiang University, Hangzhou 310058, China
    These authors contributed equally to this work.)

  • Wu Xiao

    (School of Public Affairs, Zhejiang University, Hangzhou 310058, China)

  • Jiang Wu

    (School of Public Affairs, Zhejiang University, Hangzhou 310058, China)

  • Tie Tang

    (Hunan Provincial Institute of Land and Resources Planning, Changsha 410007, China)

  • Heyu Zhang

    (Guangzhou South China Institute of Natural Resources Science and Technology, Guangzhou 510642, China)

Abstract

The increasing global population is leading to a decline in cropland per person, aggravating food security challenges. The global implementation of land consolidation (LC) has created new farmland and increased productivity. LC is a critical strategy in China for ensuring food security and gaining significant government support. This article investigates the impact of LC on farmland productivity in Sichuan Province in 2020. We utilize time series remote sensing data to analyze LC’s impact on farmland capacity. This study uses Sentinel and Landsat satellite data to calculate CumVI and assesses the LC project’s spatiotemporal evolution. To evaluate LC’s effectiveness, we create indexes for yield level and stability and employ Getis-Ord Gi* to identify spatial differentiation in LC’s impact. GeoDetector and GWR examine the impact of natural factors like elevation, slope, soil organic carbon, and rainfall on the effectiveness of LC. The research results show that: (1) After the implementation of LC, 55.51% of the project areas experienced significant improvements in agricultural productivity; the average increase rate of yield level is 7.74%; and the average increase rate of yield stability is 12.40%. Overall, LC is significant for improving farmland capacity. (2) The effectiveness of LC exhibits spatial differences and correlations in different areas. The main location for high-value agglomeration of yield levels is Nanchong City, while the northern part of Guangyuan City primarily hosts low-value agglomeration areas. (3) Natural conditions influence LC’s effectiveness. In terms of affecting the yield level of LC, the driving factors from high to low are SOC, elevation, slope, and rainfall. In terms of affecting the yield stability of LC, the driving factors, from high to low, are elevation, SOC, slope, and rainfall. LC’s effectiveness is influenced by different natural conditions that have different effects.

Suggested Citation

  • Jinhao Bao & Sucheng Xu & Wu Xiao & Jiang Wu & Tie Tang & Heyu Zhang, 2024. "Spatial Differentiation and Environmental Controls of Land Consolidation Effectiveness: A Remote Sensing-Based Study in Sichuan, China," Land, MDPI, vol. 13(7), pages 1-18, July.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:7:p:990-:d:1429340
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/7/990/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/13/7/990/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shuchang Li & Wei Song, 2023. "Research Progress in Land Consolidation and Rural Revitalization: Current Status, Characteristics, Regional Differences, and Evolution Laws," Land, MDPI, vol. 12(1), pages 1-24, January.
    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. Pun, Roshan & Joshi, Niraj Prakash & Pun, Sirish, 2024. "Factors influencing farmers' preference for farmland consolidation in Nepal: Evidence from randomized conjoint experiment," Agricultural Systems, Elsevier, vol. 219(C).
    2. Aleksandra Tešin & Aleksandra S. Dragin & Maja Mijatov Ladičorbić & Tamara Jovanović & Zrinka Zadel & Tamara Surla & Kristina Košić & Juan Manuel Amezcua-Ogáyar & Alberto Calahorro-López & Boris Kuzma, 2024. "Quality of Life and Attachments to Rural Settlements: The Basis for Regeneration and Socio-Economic Sustainability," Land, MDPI, vol. 13(9), pages 1-19, August.
    3. Shuangqing Sheng & Hua Lian, 2023. "The Spatial Pattern Evolution of Rural Settlements and Multi-Scenario Simulations since the Initiation of the Reform and Opening up Policy in China," Land, MDPI, vol. 12(9), pages 1-26, September.
    4. Ningning Liu & Qikang Zhong & Kai Zhu, 2024. "Unveiling the Dynamics of Rural Revitalization: From Disorder to Harmony in China’s Production-Life-Ecology Space," Land, MDPI, vol. 13(5), pages 1-28, April.
    5. Yuyao Zuo & Chaoxian Yang & Guixin Xin & Ya Wu & Rongrong Chen, 2023. "Driving Mechanism of Comprehensive Land Consolidation on Urban–Rural Development Elements Integration," Land, MDPI, vol. 12(11), pages 1-19, November.
    6. Uchendu Eugene Chigbu & Michael Klaus & Wenjun Zhang & Laina Alexander, 2023. "Rural Land Management and Revitalization through a Locally Coordinated Integrated Master Plan—A Model from Germany to China," Land, MDPI, vol. 12(10), pages 1-22, September.
    7. Qinglei Zhao & Guanghui Jiang & Mingzhu Wang, 2023. "The Allocation Change of Rural Land Consolidation Type Structure under the Influence Factors of Different Geographical and Economic Development of China," IJERPH, MDPI, vol. 20(6), pages 1-21, March.
    8. Mingjun Cai & Bin Ouyang & Matthew Quayson, 2024. "Navigating the Nexus between Rural Revitalization and Sustainable Development: A Bibliometric Analyses of Current Status, Progress, and Prospects," Sustainability, MDPI, vol. 16(3), pages 1-26, January.
    9. 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.

    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:7:p:990-:d:1429340. 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.