Cassava Production Efficiency in Southern Ethiopia: The Parametric Model Analysis

Due to capital constraints and land scarcity in developing countries, introducing new technology to boost productivity is difficult. As a result, working to improve cassava production efficiency is the best option available. Cassava is increasingly being used as a food source as well as an industria...

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Autores principales:	Alula Tafesse, Bekele Mena, Abrham Belay, Ermias Aynekulu, John W. Recha, Philip M. Osano, Dietrich Darr, Teferi D. Demissie, Tefera B. Endalamaw, Dawit Solomon
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	cassava Cobb-Douglas efficiency stochastic frontier Tobit Nutrition. Foods and food supply TX341-641 Food processing and manufacture TP368-456
Acceso en línea:	https://doaj.org/article/dbb35b3ac8964c198a657c3ab3782f3f
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spelling	oai:doaj.org-article:dbb35b3ac8964c198a657c3ab3782f3f2021-11-22T05:55:54ZCassava Production Efficiency in Southern Ethiopia: The Parametric Model Analysis2571-581X10.3389/fsufs.2021.758951https://doaj.org/article/dbb35b3ac8964c198a657c3ab3782f3f2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fsufs.2021.758951/fullhttps://doaj.org/toc/2571-581XDue to capital constraints and land scarcity in developing countries, introducing new technology to boost productivity is difficult. As a result, working to improve cassava production efficiency is the best option available. Cassava is increasingly being used as a food source as well as an industrial raw material in the production of economic goods. This study estimates cassava production efficiency and investigates the causes of inefficiency in southern Ethiopia. Cross-sectional data from 158 households were collected using a systematic questionnaire. The Cobb-Douglas (CDs) stochastic frontier production model was used to calculate production efficiency levels. The computed mean result showed technical efficiency (TE), allocative efficiency (AE), and economic efficiency (EE) levels of 74, 90, and 66%, respectively. This demonstrated that existing farm resources could increase average production efficiency by 26, 10, and 34%, respectively. The study found that land size, urea fertilizer application, and cassava planting cut all had a positive and significant effect on cassava production. It was discovered that TE was more important than AE as a source of benefit for EE. Inefficiency effects modeled using the two-limit Tobit model revealed that household head age, level of education, cassava variety, extension contact, rural credit, off-farm activities involvement to generate income, and farm size were the most important factors for improving TE, AE, and EE efficiencies. As a result, policymakers in government should consider these factors when addressing inefficiencies in cassava production. It is especially important to provide appropriate agricultural knowledge through short-term training, to provide farmers with access to formal education, to access improved cassava varieties, and to support agricultural extension services.Alula TafesseBekele MenaAbrham BelayAbrham BelayErmias AynekuluJohn W. RechaPhilip M. OsanoDietrich DarrTeferi D. DemissieTefera B. EndalamawDawit SolomonFrontiers Media S.A.articlecassavaCobb-Douglasefficiencystochastic frontierTobitNutrition. Foods and food supplyTX341-641Food processing and manufactureTP368-456ENFrontiers in Sustainable Food Systems, Vol 5 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	cassava Cobb-Douglas efficiency stochastic frontier Tobit Nutrition. Foods and food supply TX341-641 Food processing and manufacture TP368-456
spellingShingle	cassava Cobb-Douglas efficiency stochastic frontier Tobit Nutrition. Foods and food supply TX341-641 Food processing and manufacture TP368-456 Alula Tafesse Bekele Mena Abrham Belay Abrham Belay Ermias Aynekulu John W. Recha Philip M. Osano Dietrich Darr Teferi D. Demissie Tefera B. Endalamaw Dawit Solomon Cassava Production Efficiency in Southern Ethiopia: The Parametric Model Analysis
description	Due to capital constraints and land scarcity in developing countries, introducing new technology to boost productivity is difficult. As a result, working to improve cassava production efficiency is the best option available. Cassava is increasingly being used as a food source as well as an industrial raw material in the production of economic goods. This study estimates cassava production efficiency and investigates the causes of inefficiency in southern Ethiopia. Cross-sectional data from 158 households were collected using a systematic questionnaire. The Cobb-Douglas (CDs) stochastic frontier production model was used to calculate production efficiency levels. The computed mean result showed technical efficiency (TE), allocative efficiency (AE), and economic efficiency (EE) levels of 74, 90, and 66%, respectively. This demonstrated that existing farm resources could increase average production efficiency by 26, 10, and 34%, respectively. The study found that land size, urea fertilizer application, and cassava planting cut all had a positive and significant effect on cassava production. It was discovered that TE was more important than AE as a source of benefit for EE. Inefficiency effects modeled using the two-limit Tobit model revealed that household head age, level of education, cassava variety, extension contact, rural credit, off-farm activities involvement to generate income, and farm size were the most important factors for improving TE, AE, and EE efficiencies. As a result, policymakers in government should consider these factors when addressing inefficiencies in cassava production. It is especially important to provide appropriate agricultural knowledge through short-term training, to provide farmers with access to formal education, to access improved cassava varieties, and to support agricultural extension services.
format	article
author	Alula Tafesse Bekele Mena Abrham Belay Abrham Belay Ermias Aynekulu John W. Recha Philip M. Osano Dietrich Darr Teferi D. Demissie Tefera B. Endalamaw Dawit Solomon
author_facet	Alula Tafesse Bekele Mena Abrham Belay Abrham Belay Ermias Aynekulu John W. Recha Philip M. Osano Dietrich Darr Teferi D. Demissie Tefera B. Endalamaw Dawit Solomon
author_sort	Alula Tafesse
title	Cassava Production Efficiency in Southern Ethiopia: The Parametric Model Analysis
title_short	Cassava Production Efficiency in Southern Ethiopia: The Parametric Model Analysis
title_full	Cassava Production Efficiency in Southern Ethiopia: The Parametric Model Analysis
title_fullStr	Cassava Production Efficiency in Southern Ethiopia: The Parametric Model Analysis
title_full_unstemmed	Cassava Production Efficiency in Southern Ethiopia: The Parametric Model Analysis
title_sort	cassava production efficiency in southern ethiopia: the parametric model analysis
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/dbb35b3ac8964c198a657c3ab3782f3f
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Cassava Production Efficiency in Southern Ethiopia: The Parametric Model Analysis

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