The gender pay gap during conflict: evidence from farm workers in Myanmar

Abstract Rising global conflict increasingly destabilizes food systems and labor markets that underpin livelihoods and food security. Conflict-driven shocks—such as male outmigration or shifts toward manual, gendered tasks—can fundamentally reshape the structural inequalities that determine how men and women are compensated. However, quantitative research on gendered agricultural labor markets remains rare, particularly in conflict settings. This paper addresses that gap by providing quantitative analysis of gender wage disparities among hired farm workers amidst conflict. We focus on Myanmar as a highly relevant case study: the country is facing devastating conflict following the military coup in early 2021. We use a unique nationwide primary dataset of 1,504 farm workers matched with georeferenced data from the Armed Conflict Location & Event Data (ACLED). Employing decomposition analysis, we find a 19% gender pay gap driven by structural inequalities rather than individual traits. While wages are lower in highly conflict-affected areas, the gender gap remains stagnant, likely due to offsetting market shocks. This persistent disparity represents a "hidden tax" on female labor that, despite not widening, remains a structural barrier that undermines the efficiency and recovery of agri-food systems in crisis.

Authors

Institutions

Publication Details

Journal
Environmental Research Food Systems
Published
2026-11-02
DOI
https://doi.org/10.1088/2976-601x/aebc8f
Primary Topic
Gender, Labor, and Family Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The gender pay gap during conflict: evidence from farm workers in Myanmar

Anna Fabry, Andrew Laitha, Bart Minten, Eva‐Marie Meemken
3 links
Environmental Research Food Systems
Gender, Labor, and Family Dynamics
article

The gender pay gap during conflict: evidence from farm workers in Myanmar

Anna Fabry, Andrew Laitha, Bart Minten, Eva‐Marie Meemken
article en

Abstract

Abstract Rising global conflict increasingly destabilizes food systems and labor markets that underpin livelihoods and food security. Conflict-driven shocks—such as male outmigration or shifts toward manual, gendered tasks—can fundamentally reshape the structural inequalities that determine how men and women are compensated. However, quantitative research on gendered agricultural labor markets remains rare, particularly in conflict settings. This paper addresses that gap by providing quantitative analysis of gender wage disparities among hired farm workers amidst conflict. We focus on Myanmar as a highly relevant case study: the country is facing devastating conflict following the military coup in early 2021. We use a unique nationwide primary dataset of 1,504 farm workers matched with georeferenced data from the Armed Conflict Location & Event Data (ACLED). Employing decomposition analysis, we find a 19% gender pay gap driven by structural inequalities rather than individual traits. While wages are lower in highly conflict-affected areas, the gender gap remains stagnant, likely due to offsetting market shocks. This persistent disparity represents a "hidden tax" on female labor that, despite not widening, remains a structural barrier that undermines the efficiency and recovery of agri-food systems in crisis.

Environmental Research Food Systems
International Food Policy Research Institute (US), ETH Zurich (CH)
Gender equality, Decent work and economic growth, Reduced inequalities, Zero hunger, No poverty, Peace, justice, and strong institutions
Openalex Percentile: Top 9%
Gender, Labor, and Family Dynamics
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