Coping with off-farm employment shocks at the grassroots level in rural areas: evidence from the COVID-19 pandemic in China

A better understanding of the effectiveness of grassroots coping measures against existing shocks is essential in case similar events arise in the future. This study examines how rural villages coped with off-farm employment shocks during the COVID-19 pandemic, using a panel dataset of 800 households in 100 villages across 25 counties in five provinces. Our data show that between the COVID-19 outbreak and April 2020, up to 81% of villages adopted at least one measure to support off-farm employment, such as providing job information, job offers and transportation subsidies or services. Regression results from both Propensity Score Matching and Instrumental Variable approaches consistently show that providing job information with job offers significantly reduced the probability of exiting off-farm employment and reducing working hours. Providing job information alone also reduced the probability of working fewer hours, but with little heterogeneous effects by gender, education or the village’s economic status. These findings provide valuable insights for other developing countries and can help inform policymakers about the effectiveness of grassroots responses to off-farm employment shocks.

Authors

Institutions

Publication Details

Journal
Applied Economics
Published
2026-08-03
DOI
https://doi.org/10.1080/00036846.2026.2710410
Primary Topic
Agricultural Innovations and Practices
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Coping with off-farm employment shocks at the grassroots level in rural areas: evidence from the COVID-19 pandemic in China

Chengfang Liu, Tonglong Zhang, Yunli Bai, Weidong Wang
Applied Economics
Agricultural Innovations and Practices
article

Coping with off-farm employment shocks at the grassroots level in rural areas: evidence from the COVID-19 pandemic in China

Chengfang Liu, Tonglong Zhang, Yunli Bai, Weidong Wang
article en

Abstract

A better understanding of the effectiveness of grassroots coping measures against existing shocks is essential in case similar events arise in the future. This study examines how rural villages coped with off-farm employment shocks during the COVID-19 pandemic, using a panel dataset of 800 households in 100 villages across 25 counties in five provinces. Our data show that between the COVID-19 outbreak and April 2020, up to 81% of villages adopted at least one measure to support off-farm employment, such as providing job information, job offers and transportation subsidies or services. Regression results from both Propensity Score Matching and Instrumental Variable approaches consistently show that providing job information with job offers significantly reduced the probability of exiting off-farm employment and reducing working hours. Providing job information alone also reduced the probability of working fewer hours, but with little heterogeneous effects by gender, education or the village’s economic status. These findings provide valuable insights for other developing countries and can help inform policymakers about the effectiveness of grassroots responses to off-farm employment shocks.

Applied Economics
South China Agricultural University (CN), Chinese Academy of Sciences (CN), United Nations Environment Programme (KE), Peking University (CN), Hainan University (CN), Beijing Forestry University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 4%
Agricultural Innovations and Practices
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.

Coping with off-farm employment shocks at the grassroots level in rural areas: evidence from the COVID-19 pandemic in China — Chengfang Liu, Tonglong Zhang, et al. · Applied Economics (2026) | TGRS Research Map | TGRS