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...
| Autores principales: | , , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Frontiers Media
2021
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/116304 |
| _version_ | 1855526023971471360 |
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| author | Tafesse, Alula Mena, Bekele Belay, Abrham Aynekulu, Ermias Recha, John W.M. Osano, Philip M. Darr, Dietrich Demissie, Teferi Dejene Endalamaw, Tefera B. Solomon, Dawit |
| author_browse | Aynekulu, Ermias Belay, Abrham Darr, Dietrich Demissie, Teferi Dejene Endalamaw, Tefera B. Mena, Bekele Osano, Philip M. Recha, John W.M. Solomon, Dawit Tafesse, Alula |
| author_facet | Tafesse, Alula Mena, Bekele Belay, Abrham Aynekulu, Ermias Recha, John W.M. Osano, Philip M. Darr, Dietrich Demissie, Teferi Dejene Endalamaw, Tefera B. Solomon, Dawit |
| author_sort | Tafesse, Alula |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| 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 | Journal Article |
| id | CGSpace116304 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Frontiers Media |
| publisherStr | Frontiers Media |
| record_format | dspace |
| spelling | CGSpace1163042025-08-15T13:21:59Z Cassava Production Efficiency in Southern Ethiopia: The Parametric Model Analysis Tafesse, Alula Mena, Bekele Belay, Abrham Aynekulu, Ermias Recha, John W.M. Osano, Philip M. Darr, Dietrich Demissie, Teferi Dejene Endalamaw, Tefera B. Solomon, Dawit cassava cobb-douglas efficiency stochastic frontier tobit horticulture ecology food science 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. 2021-11-22 2021-11-25T17:06:08Z 2021-11-25T17:06:08Z Journal Article https://hdl.handle.net/10568/116304 en Open Access Frontiers Media Tafesse, A., Mena, B., Belay, A., Aynekulu, E., Recha, J. W., Osano, P. M., Darr, D., Demissie, T. D., Endalamaw, T. B., & Solomon, D. (2021). Cassava Production Efficiency in Southern Ethiopia: The Parametric Model Analysis. In Frontiers in Sustainable Food Systems (Vol. 5). Frontiers Media SA. https://doi.org/10.3389/fsufs.2021.758951 |
| spellingShingle | cassava cobb-douglas efficiency stochastic frontier tobit horticulture ecology food science Tafesse, Alula Mena, Bekele Belay, Abrham Aynekulu, Ermias Recha, John W.M. Osano, Philip M. Darr, Dietrich Demissie, Teferi Dejene Endalamaw, Tefera B. Solomon, Dawit Cassava Production Efficiency in Southern Ethiopia: The Parametric Model Analysis |
| title | 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_short | Cassava Production Efficiency in Southern Ethiopia: The Parametric Model Analysis |
| title_sort | cassava production efficiency in southern ethiopia the parametric model analysis |
| topic | cassava cobb-douglas efficiency stochastic frontier tobit horticulture ecology food science |
| url | https://hdl.handle.net/10568/116304 |
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