Modeling drivers of postharvest losses among smallholder vegetable farmers in eThekwini Metropolitan: an examination of a zero-inflated Poisson (ZIP) approach

Postharvest losses (PHLs) challenge smallholder vegetable farmers in developing countries, notably in sub-Saharan Africa, impacting food security and economic sustainability. Despite efforts to mitigate PHLs, understanding remains insufficient. This knowledge gap hinders the development and implemen...

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Main Authors: Siphesihle Qange, Lelethu Mdoda, Asanda Mditshwa
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Cogent Food & Agriculture
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/23311932.2024.2383316
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author Siphesihle Qange
Lelethu Mdoda
Asanda Mditshwa
author_facet Siphesihle Qange
Lelethu Mdoda
Asanda Mditshwa
author_sort Siphesihle Qange
collection DOAJ
description Postharvest losses (PHLs) challenge smallholder vegetable farmers in developing countries, notably in sub-Saharan Africa, impacting food security and economic sustainability. Despite efforts to mitigate PHLs, understanding remains insufficient. This knowledge gap hinders the development and implementation of effective interventions. Therefore, this study investigated the key drivers of postharvest losses among smallholder vegetable farmers in eThekwini Municipality. The study adopted a cross-sectional research design and multi-stratified random sampling technique to gather primary data from 238 smallholder vegetable farmers through structured questionnaires. Descriptive statistics and zero-inflated Poisson (ZIP) Regression were used for analysis. Descriptive statistics indicated that female farmers were dominant (56%), with an average age of 45 years and an average household size of six individuals. On average, farmers have completed 12 years of schooling, and a significant portion, comprising 76%, were unemployed. The primary source of income for farmers (78%) was derived from farming activities. The ZIP model indicated that age and household size were significant at the 5% level, while years in school, farm experience, extension service, labor, storage, distance to the market, and weather conditions were significant at the 1% level. Thus, the study recommends improving extension services and capacity-building to improve agricultural productivity and reduce PHLs.
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spelling doaj-art-3b1d2fe386e145d5ab7ffa94dc657c072025-08-20T02:38:14ZengTaylor & Francis GroupCogent Food & Agriculture2331-19322024-12-0110110.1080/23311932.2024.2383316Modeling drivers of postharvest losses among smallholder vegetable farmers in eThekwini Metropolitan: an examination of a zero-inflated Poisson (ZIP) approachSiphesihle Qange0Lelethu Mdoda1Asanda Mditshwa2Discipline of Agricultural Economics, School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Pietermaritzburg, South AfricaDiscipline of Agricultural Economics, School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Pietermaritzburg, South AfricaDiscipline of Agricultural Economics, School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Pietermaritzburg, South AfricaPostharvest losses (PHLs) challenge smallholder vegetable farmers in developing countries, notably in sub-Saharan Africa, impacting food security and economic sustainability. Despite efforts to mitigate PHLs, understanding remains insufficient. This knowledge gap hinders the development and implementation of effective interventions. Therefore, this study investigated the key drivers of postharvest losses among smallholder vegetable farmers in eThekwini Municipality. The study adopted a cross-sectional research design and multi-stratified random sampling technique to gather primary data from 238 smallholder vegetable farmers through structured questionnaires. Descriptive statistics and zero-inflated Poisson (ZIP) Regression were used for analysis. Descriptive statistics indicated that female farmers were dominant (56%), with an average age of 45 years and an average household size of six individuals. On average, farmers have completed 12 years of schooling, and a significant portion, comprising 76%, were unemployed. The primary source of income for farmers (78%) was derived from farming activities. The ZIP model indicated that age and household size were significant at the 5% level, while years in school, farm experience, extension service, labor, storage, distance to the market, and weather conditions were significant at the 1% level. Thus, the study recommends improving extension services and capacity-building to improve agricultural productivity and reduce PHLs.https://www.tandfonline.com/doi/10.1080/23311932.2024.2383316Food securitylivelihoodspostharvest lossessmallholder vegetable farmerszero-inflated Poisson (ZIP) regressionAgriculture & Environmental Sciences
spellingShingle Siphesihle Qange
Lelethu Mdoda
Asanda Mditshwa
Modeling drivers of postharvest losses among smallholder vegetable farmers in eThekwini Metropolitan: an examination of a zero-inflated Poisson (ZIP) approach
Cogent Food & Agriculture
Food security
livelihoods
postharvest losses
smallholder vegetable farmers
zero-inflated Poisson (ZIP) regression
Agriculture & Environmental Sciences
title Modeling drivers of postharvest losses among smallholder vegetable farmers in eThekwini Metropolitan: an examination of a zero-inflated Poisson (ZIP) approach
title_full Modeling drivers of postharvest losses among smallholder vegetable farmers in eThekwini Metropolitan: an examination of a zero-inflated Poisson (ZIP) approach
title_fullStr Modeling drivers of postharvest losses among smallholder vegetable farmers in eThekwini Metropolitan: an examination of a zero-inflated Poisson (ZIP) approach
title_full_unstemmed Modeling drivers of postharvest losses among smallholder vegetable farmers in eThekwini Metropolitan: an examination of a zero-inflated Poisson (ZIP) approach
title_short Modeling drivers of postharvest losses among smallholder vegetable farmers in eThekwini Metropolitan: an examination of a zero-inflated Poisson (ZIP) approach
title_sort modeling drivers of postharvest losses among smallholder vegetable farmers in ethekwini metropolitan an examination of a zero inflated poisson zip approach
topic Food security
livelihoods
postharvest losses
smallholder vegetable farmers
zero-inflated Poisson (ZIP) regression
Agriculture & Environmental Sciences
url https://www.tandfonline.com/doi/10.1080/23311932.2024.2383316
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