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Agricultural Social Services and Land Transfer: A Multidimensional Analysis of Impacts on Land Allocation

Author

Listed:
  • Xi Yu

    (School of Public Administration & Institute of Rural Revitalization, Guangzhou University, WaiHuanXi Road No. 230, Panyu, Guangzhou 510006, China)

  • Walliams Ali

    (Department of Food Economics and Consumption Studies, University of Kiel, Johanna-Mestorf-Str. 5, 24118 Kiel, Germany)

  • Dongmei Li

    (College of Management, Sichuan Agricultural University, Huimin Road No. 211, Wenjiang, Chengdu 611130, China)

Abstract

Land transfer is a crucial measure for optimizing cropland allocation and improving production efficiency, especially in resource-scarce countries. Drawing on a sample of 858 farmers from Sichuan Province, China, this study examines whether agricultural social services (ASSs) drive land transfer. Unlike previous research that focused on a single dimension, such as participation or scale, this paper examines land transfer behavior from three dimensions: participation, scale, and future transfer willingness. Using an endogenous switching regression model and a probit model, we analyze unique cross-sectional farm-level data collected from rural China. The results indicate that ASSs have a positive and significant impact on land transfer behavior: (1) ASS adoption increases the land transfer participation rate by 13.7%. (2) The transfer area increases by 74.34% due to ASSs. (3) The likelihood of future transfer increases by 4.2% with ASS adoption. These findings suggest that fostering a supportive environment for agricultural social services can enhance the land transfer market and contribute to sustainable modernization of the agricultural sector.

Suggested Citation

  • Xi Yu & Walliams Ali & Dongmei Li, 2025. "Agricultural Social Services and Land Transfer: A Multidimensional Analysis of Impacts on Land Allocation," Land, MDPI, vol. 14(4), pages 1-17, April.
    • Handle: RePEc:gam:jlands:v:14:y:2025:i:4:p:855-:d:1634108
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    References listed on IDEAS

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    Cited by:

    1. Huishuang Jin & Hui Liu, 2025. "The Impact of Agricultural Credit on Planting Structure: An Empirical Test of Factor Allocation," Land, MDPI, vol. 14(5), pages 1-22, May.

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