Factors influencing contract farming participation among sorghum farmers in Dodoma, Tanzania

Contract farming is viewed as a useful arrangement that integrates farmers in the agricultural value chain for sustainable crop production. It is essential for policy makers focusing on agricultural development to enforce the promotion and implementation of contract farming especially in developing countries. However, in Tanzania, contract farming participation among smallholder farmers has been low. This study aimed to analyze the determinants of sorghum farmers’ participation in contract farming. The study used data collected from 400 sorghum farmers for the 2019/2020 cropping season located in Kongwa, Chamwino and Mpwapwa districts in Dodoma, Tanzania. A binary logit regression model was employed to analyze the determinants of contract farming participation. Findings show that age, off-farm income, hired labor, family-hired labor mix, access to extension services, both owned and rented land, access to financial services as well as savings and credit group membership positively influenced contract farming participation among sorghum farmers. In contrast, household size and sorghum farming experience negatively influenced contract farming participation. Therefore, this study recommends for effective policy mechanisms that promote improved extension and credit services, and growth of the off-farm sector among other things for improved participation in sorghum contract farming.

Publication Details

Journal
AgEcon Search (University of Minnesota, USA)
Published
2025-08-18
DOI
https://doi.org/10.22004/ag.econ.365865
Primary Topic
Agricultural Innovations and Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Factors influencing contract farming participation among sorghum farmers in Dodoma, Tanzania

AgEcon Search (University of Minnesota, USA)
Agricultural Innovations and Practices
article

Factors influencing contract farming participation among sorghum farmers in Dodoma, Tanzania

article en

Abstract

Contract farming is viewed as a useful arrangement that integrates farmers in the agricultural value chain for sustainable crop production. It is essential for policy makers focusing on agricultural development to enforce the promotion and implementation of contract farming especially in developing countries. However, in Tanzania, contract farming participation among smallholder farmers has been low. This study aimed to analyze the determinants of sorghum farmers’ participation in contract farming. The study used data collected from 400 sorghum farmers for the 2019/2020 cropping season located in Kongwa, Chamwino and Mpwapwa districts in Dodoma, Tanzania. A binary logit regression model was employed to analyze the determinants of contract farming participation. Findings show that age, off-farm income, hired labor, family-hired labor mix, access to extension services, both owned and rented land, access to financial services as well as savings and credit group membership positively influenced contract farming participation among sorghum farmers. In contrast, household size and sorghum farming experience negatively influenced contract farming participation. Therefore, this study recommends for effective policy mechanisms that promote improved extension and credit services, and growth of the off-farm sector among other things for improved participation in sorghum contract farming.

AgEcon Search (University of Minnesota, USA)
Openalex Percentile: Top 27%
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.