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

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  • 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
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    References listed on IDEAS

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    1. Du, Xindong & Zhang, Xiaoke & Jin, Xiaobin, 2018. "Assessing the effectiveness of land consolidation for improving agricultural productivity in China," Land Use Policy, Elsevier, vol. 70(C), pages 360-367.
    2. 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.
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    Cited by:

    1. Guiying Liu & Mengqi Yang, 2024. "Characteristics of Spatial–Temporal Evolution of Sustainable Intensification of Cultivated Land Use and Analysis of Influencing Factors in China, 2001–2020," Sustainability, MDPI, vol. 16(23), pages 1-22, December.

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