Collective-Led, Enterprise-Driven and Large-Household-Dominated Modes: A Comparative Analysis of the Economic Effects of Rural Contracted Land Management Right Transfer

Three organisational arrangements dominate the transfer of contracted land management rights in rural China: village collectives, enterprises and large farming households. Using the 2020 China Rural Revitalization Survey (191 villages, 2325 households), we classify each village by the operator holding the largest share of transferred area, estimate censored Tobit, ordinary least squares and logit models with village-clustered standard errors, and grade every result by whether it survives two-part models, matching and doubly robust estimators. Four findings are robust: enterprise-dominated villages record land rents about 217 yuan per mu and year above collective-dominated villages and more written contracts, and their households are about five percentage points less likely to be very satisfied with income, as are households under large-household dominance, by a smaller margin. Land productivity, farm scale, labour allocation and collective assets do not differ, and the satisfaction gap is spread across the village rather than concentrated among households that leased land out. We read the pattern as a difference in how the value of land is divided rather than in how much it yields.

Authors

Institutions

Publication Details

Journal
Land
Published
2026-11-11
DOI
https://doi.org/10.3390/land15112155
Primary Topic
Land Rights and Reforms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Collective-Led, Enterprise-Driven and Large-Household-Dominated Modes: A Comparative Analysis of the Economic Effects of Rural Contracted Land Management Right Transfer

Yifan Shi, Tianzi Li
Land
Land Rights and Reforms
article

Collective-Led, Enterprise-Driven and Large-Household-Dominated Modes: A Comparative Analysis of the Economic Effects of Rural Contracted Land Management Right Transfer

Yifan Shi, Tianzi Li
article en

Abstract

Three organisational arrangements dominate the transfer of contracted land management rights in rural China: village collectives, enterprises and large farming households. Using the 2020 China Rural Revitalization Survey (191 villages, 2325 households), we classify each village by the operator holding the largest share of transferred area, estimate censored Tobit, ordinary least squares and logit models with village-clustered standard errors, and grade every result by whether it survives two-part models, matching and doubly robust estimators. Four findings are robust: enterprise-dominated villages record land rents about 217 yuan per mu and year above collective-dominated villages and more written contracts, and their households are about five percentage points less likely to be very satisfied with income, as are households under large-household dominance, by a smaller margin. Land productivity, farm scale, labour allocation and collective assets do not differ, and the satisfaction gap is spread across the village rather than concentrated among households that leased land out. We read the pattern as a difference in how the value of land is divided rather than in how much it yields.

LandVol. 15(11)
Xi'an Jiaotong University (CN)
Land Rights and Reforms
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.

Laika access coming soon
Collective-Led, Enterprise-Driven and Large-Household-Dominated Modes: A Comparative Analysis of the Economic Effects of Rural Contracted Land Management Right Transfer — Yifan Shi, Tianzi Li · Land (2026) | TGRS Research Map | TGRS