Measurement of Smallholder Inclusion in High-Value Markets

Facilitating smallholders to access high-value agricultural value chains and markets (HVMs) is a common intervention to support rural poverty alleviation. It is widely recognised that some smallholder cohorts are unable to participate in HVMs. However, empirical research rarely seeks to understand whether HVM non-participation derives from the intentional choices made by smallholders to opt for alternative livelihood options, or whether HVM exclusion is rooted in unequal opportunities. This paper develops empirical methods to measure smallholder inclusion and exclusion in HVMs. Adapting methodologies from the inequality in opportunity literature, I identify inequality in HVM participation opportunities, which disentangles exclusion driven by structural barriers (or circumstances), from exclusion arising from the choices, preferences, and efforts within a smallholder’s control. These methods are tested using a case study focused on smallholder participation in high-value coffee value chains in Eastern Uganda. Using binary and continuous measures of HVM participation, for both households and individuals, the results indicate that spatial factors and financial decision-making disagreements within the household are strongly associated with HVM exclusion. I argue that these methods can be applied more broadly to measure whether individuals have the substantive freedoms and opportunities to choose among alternative livelihood pathways they value.

Authors

Institutions

Publication Details

Journal
The Journal of Development Studies
Published
2026-06-08
DOI
https://doi.org/10.1080/00220388.2026.2679263
Primary Topic
Global trade, sustainability, and social impact
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Measurement of Smallholder Inclusion in High-Value Markets

Daniel Hill
The Journal of Development Studies
Global trade, sustainability, and social impact
article

Measurement of Smallholder Inclusion in High-Value Markets

Daniel Hill
article en

Abstract

Facilitating smallholders to access high-value agricultural value chains and markets (HVMs) is a common intervention to support rural poverty alleviation. It is widely recognised that some smallholder cohorts are unable to participate in HVMs. However, empirical research rarely seeks to understand whether HVM non-participation derives from the intentional choices made by smallholders to opt for alternative livelihood options, or whether HVM exclusion is rooted in unequal opportunities. This paper develops empirical methods to measure smallholder inclusion and exclusion in HVMs. Adapting methodologies from the inequality in opportunity literature, I identify inequality in HVM participation opportunities, which disentangles exclusion driven by structural barriers (or circumstances), from exclusion arising from the choices, preferences, and efforts within a smallholder’s control. These methods are tested using a case study focused on smallholder participation in high-value coffee value chains in Eastern Uganda. Using binary and continuous measures of HVM participation, for both households and individuals, the results indicate that spatial factors and financial decision-making disagreements within the household are strongly associated with HVM exclusion. I argue that these methods can be applied more broadly to measure whether individuals have the substantive freedoms and opportunities to choose among alternative livelihood pathways they value.

The Journal of Development Studies
University of New England (US)
Reduced inequalities
Openalex Percentile: Top 5%
Global trade, sustainability, and social impact
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.