The influence of seed selection on coffee production and farmers’ livelihood in Kagera region

This study examines the influence of seed selection on coffee production and farmers' livelihoods in the Kagera region, Tanzania. Using secondary data from the National Bureau of Statistics and the Coffee Board for 2019/2020, along with a sample of 594 respondents, the research employs a multinomial logistic regression model to explore the factors affecting seed selection. Findings reveal that 96% of farmers rely on local seeds, while 2% adopt improved seeds or a combination of both. Larger planting areas increase the likelihood of adopting improved seeds,while high seed costs and limited fertilizer use significantly deter adoption. Furthermore, the results emphasize and recommend the need for targeted interventions, including improved seed supply systems, affordable seed packages, integrated inputsupport, and incentives for large-scale farmers. Strengthening these areas could enhance coffee production and contribute to better livelihoods forfarmers in Kagera. These findings provide critical insights for policymakers aiming to improve coffee productivity, improving farmers’ economic wellbeingand sustainability.

Authors

Publication Details

Journal
Journal of Policy and Development Studies
Published
2024-12-12
DOI
https://doi.org/10.4314/jpds.v17i1.13
Citations
1
Primary Topic
Agriculture and Rural Development Research
Type
article
Field-Weighted Citation Impact
1.03
Controls
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article

The influence of seed selection on coffee production and farmers’ livelihood in Kagera region

Sadam Jamaldin
1 citations
Journal of Policy and Development Studies
Agriculture and Rural Development Research
1.03
article

The influence of seed selection on coffee production and farmers’ livelihood in Kagera region

Sadam Jamaldin
article en
1 citations

Abstract

This study examines the influence of seed selection on coffee production and farmers' livelihoods in the Kagera region, Tanzania. Using secondary data from the National Bureau of Statistics and the Coffee Board for 2019/2020, along with a sample of 594 respondents, the research employs a multinomial logistic regression model to explore the factors affecting seed selection. Findings reveal that 96% of farmers rely on local seeds, while 2% adopt improved seeds or a combination of both. Larger planting areas increase the likelihood of adopting improved seeds,while high seed costs and limited fertilizer use significantly deter adoption. Furthermore, the results emphasize and recommend the need for targeted interventions, including improved seed supply systems, affordable seed packages, integrated inputsupport, and incentives for large-scale farmers. Strengthening these areas could enhance coffee production and contribute to better livelihoods forfarmers in Kagera. These findings provide critical insights for policymakers aiming to improve coffee productivity, improving farmers’ economic wellbeingand sustainability.

Journal of Policy and Development StudiesVol. 17(1)
Openalex Percentile: Top 15%
Agriculture and Rural Development Research
1.03
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