Rural Migrant Workers in Urban China: Does Rural Land Still Matter?

The purpose of this study is to test the response of rural–urban migration to land endowment while recognizing the heterogeneity of land tenure security perceptions. Based on the survey data of 751 migrant workers in Nanjing City, the latent class model identifies the secured group and unsecured group, with a particular focus on how heterogeneous concepts of land tenure security mediate the above relationships. Empirical modeling explores how land endowment affects household labor distribution and individual migration decisions, taking the heterogeneity of tenure expectations into account. The key findings reveal the following: (1) an inverse U-shaped relationship between land endowment and household labor distribution, but not between land endowment and individual migrant decisions; (2) farm households who perceive land tenure as unsecured tend to send fewer household members as job-seeking migrants, even as their land endowment increases; (3) however, individual migration decisions under conditions of a secured land tenure reduce the risk of losing land and induce migrant workers to stay in cities. The findings contribute to advancing the institutional analysis of the impact of land endowment on household labor allocation and how land tenure security affects immigration decisions, providing empirical evidence for China’s rural revitalization policies, which would support reforms that secure land tenure, such as the second-round contracting renewal policy and the rural revitalization plan in China.

Authors

Institutions

Publication Details

Journal
Land
Published
2025-04-19
DOI
https://doi.org/10.3390/land14040901
Citations
3
Primary Topic
China's Socioeconomic Reforms and Governance
Type
article
Field-Weighted Citation Impact
25.57

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Rural Migrant Workers in Urban China: Does Rural Land Still Matter?

Wojciech J. Florkowski, Huiguang Chen, Zhongyuan Liu
3 citations
Land
China's Socioeconomic Reforms and Governance
25.57
article

Rural Migrant Workers in Urban China: Does Rural Land Still Matter?

Wojciech J. Florkowski, Huiguang Chen, Zhongyuan Liu
article en
3 citations

Abstract

The purpose of this study is to test the response of rural–urban migration to land endowment while recognizing the heterogeneity of land tenure security perceptions. Based on the survey data of 751 migrant workers in Nanjing City, the latent class model identifies the secured group and unsecured group, with a particular focus on how heterogeneous concepts of land tenure security mediate the above relationships. Empirical modeling explores how land endowment affects household labor distribution and individual migration decisions, taking the heterogeneity of tenure expectations into account. The key findings reveal the following: (1) an inverse U-shaped relationship between land endowment and household labor distribution, but not between land endowment and individual migrant decisions; (2) farm households who perceive land tenure as unsecured tend to send fewer household members as job-seeking migrants, even as their land endowment increases; (3) however, individual migration decisions under conditions of a secured land tenure reduce the risk of losing land and induce migrant workers to stay in cities. The findings contribute to advancing the institutional analysis of the impact of land endowment on household labor allocation and how land tenure security affects immigration decisions, providing empirical evidence for China’s rural revitalization policies, which would support reforms that secure land tenure, such as the second-round contracting renewal policy and the rural revitalization plan in China.

LandVol. 14(4)
Nanjing Agricultural University (CN), University of Georgia (US)
National Natural Science Foundation of China, Government of Jiangsu Province, Social Science Foundation of Jiangsu Province, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 1%
China's Socioeconomic Reforms and Governance
25.57
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.