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

Xi Yu, Walliams Ali and Dongmei Li ()
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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

Land, 2025, vol. 14, issue 4, 1-17

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.

Keywords: agricultural social services; land transfer participation; transfer scale; future transfer willingness; endogenous switching model; rural China (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2025
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