Land Titling: A Catalyst for Enhancing China Rural Laborers’ Mobility Intentions?

Shanshan Mou and Zhongkun Zhu ()
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Shanshan Mou: School of Economics, Beijing Institute of Technology, Beijing 100081, China
Zhongkun Zhu: School of Economics, Beijing Institute of Technology, Beijing 100081, China

Land, 2025, vol. 14, issue 4, 1-18

Abstract: Land titling, a critical land institution reform aimed at enhancing tenure security, serves as a pivotal policy instrument to strengthen rural laborers’ mobility intentions. Leveraging a balanced panel dataset from the 2014 and 2016 China Labor-force Dynamic Survey (CLDS), this study employs a difference-in-differences (DID) model to evaluate the policy effects of the latest round of land titling on rural laborers’ mobility intentions. The results demonstrate that land titling significantly enhances rural laborers’ willingness to migrate. To ensure robustness, we incorporate individual and year fixed effects, cluster robust standard errors at the household level, and conduct multiple robustness tests, including placebo test, propensity score-matching difference-in-differences (PSM-DID), replacement of dependent variable, clustered adjustment, adding control variables and interaction fixed effects. Mechanism analysis reveals that land titling elevates laborers’ mobility intentions primarily by reducing land reallocation and stimulating investments in agricultural machinery. Heterogeneity analysis further identifies stronger effects in villages dominated by agricultural employment, and among middle-aged laborers. These findings highlight the nuanced role of tenure security in reshaping rural laborer dynamics and provide empirical support for optimizing land-related policies to facilitate structural transformation.

Keywords: land titling; laborers’ mobility intentions; difference-in-differences (DID) model; land reallocation; agricultural machinery investment (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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