Productive efficiency of beef cattle production in Botswana: a latent class stochastic meta-frontier analysis
Efficiency in food production is crucial for sustainable agriculture in developing countries. This paper contributes to the existing literature by presenting an innovative approach to modeling productive efficiency in beef cattle production. Treating farm performance across regions as unobserved het...
| Main Authors: | , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
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Frontiers Media
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/132568 |
| _version_ | 1855541024860930048 |
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| author | Bahta, Sirak Temoso, Omphile Ng'ombe, John N. Rich, Karl M. Baker, Derek Kaitibie, Simeon Malope, Patrick |
| author_browse | Bahta, Sirak Baker, Derek Kaitibie, Simeon Malope, Patrick Ng'ombe, John N. Rich, Karl M. Temoso, Omphile |
| author_facet | Bahta, Sirak Temoso, Omphile Ng'ombe, John N. Rich, Karl M. Baker, Derek Kaitibie, Simeon Malope, Patrick |
| author_sort | Bahta, Sirak |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Efficiency in food production is crucial for sustainable agriculture in developing countries. This paper contributes to the existing literature by presenting an innovative approach to modeling productive efficiency in beef cattle production. Treating farm performance across regions as unobserved heterogeneity, we determine technical efficiency of beef cattle production in Botswana. We aim to shed light on the factors influencing efficiency in this sector.The study utilized block-level data from various annual agricultural surveys (2006–2014) covering 26 agricultural districts and six agro-ecological regions in Botswana. We employed a latent class stochastic frontier model complemented with the stochastic meta-frontier analysis.Results show that the best performing farming systems in terms of efficiency are districts with well-developed infrastructure and better access to output and input markets. In contrast, the farming systems that perform poorly consist of agricultural districts without access to livestock advisory centers, with higher average temperatures and foot and mouth disease, limiting access to export markets. The mean technical efficiency scores for beef production for agricultural districts in class one and two were 62 and 59%, respectively, implying high potential to improve beef production using the same level of agricultural inputs through efficiency-enhancing investments.Based on our results, it is crucial for agricultural policies to prioritize regionally specific investments that address the needs of the under-performing districts. By targeting the lagging districts, policymakers can help beef producers improve their input efficiency and bridge the technological gaps to the meta-frontier. This can be achieved through investments in infrastructure, access to livestock advisory services, and disease control measures. Such efforts will not only enhance the efficiency of beef production but also contribute to the overall sustainability of the agricultural sector in Botswana. |
| format | Journal Article |
| id | CGSpace132568 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Frontiers Media |
| publisherStr | Frontiers Media |
| record_format | dspace |
| spelling | CGSpace1325682025-12-08T10:29:22Z Productive efficiency of beef cattle production in Botswana: a latent class stochastic meta-frontier analysis Bahta, Sirak Temoso, Omphile Ng'ombe, John N. Rich, Karl M. Baker, Derek Kaitibie, Simeon Malope, Patrick agricultural policies agricultural sector agriculture agronomy analysis beef cattle cattle developing countries disease control ecology efficiency farming farming systems food production infrastructure law livestock management markets monitoring policies production services surveys sustainability sustainable agriculture systems Efficiency in food production is crucial for sustainable agriculture in developing countries. This paper contributes to the existing literature by presenting an innovative approach to modeling productive efficiency in beef cattle production. Treating farm performance across regions as unobserved heterogeneity, we determine technical efficiency of beef cattle production in Botswana. We aim to shed light on the factors influencing efficiency in this sector.The study utilized block-level data from various annual agricultural surveys (2006–2014) covering 26 agricultural districts and six agro-ecological regions in Botswana. We employed a latent class stochastic frontier model complemented with the stochastic meta-frontier analysis.Results show that the best performing farming systems in terms of efficiency are districts with well-developed infrastructure and better access to output and input markets. In contrast, the farming systems that perform poorly consist of agricultural districts without access to livestock advisory centers, with higher average temperatures and foot and mouth disease, limiting access to export markets. The mean technical efficiency scores for beef production for agricultural districts in class one and two were 62 and 59%, respectively, implying high potential to improve beef production using the same level of agricultural inputs through efficiency-enhancing investments.Based on our results, it is crucial for agricultural policies to prioritize regionally specific investments that address the needs of the under-performing districts. By targeting the lagging districts, policymakers can help beef producers improve their input efficiency and bridge the technological gaps to the meta-frontier. This can be achieved through investments in infrastructure, access to livestock advisory services, and disease control measures. Such efforts will not only enhance the efficiency of beef production but also contribute to the overall sustainability of the agricultural sector in Botswana. 2023-06-13 2023-10-31T12:27:29Z 2023-10-31T12:27:29Z Journal Article https://hdl.handle.net/10568/132568 en Open Access Frontiers Media Bahta, S., Temoso, O., Ng'ombe, J.N.., Rich, K.M.., Baker, D., Kaitibie, S. and Malope, P. 2023. Productive efficiency of beef cattle production in Botswana: a latent class stochastic meta-frontier analysis. Frontiers in Sustainable Food Systems 7 |
| spellingShingle | agricultural policies agricultural sector agriculture agronomy analysis beef cattle cattle developing countries disease control ecology efficiency farming farming systems food production infrastructure law livestock management markets monitoring policies production services surveys sustainability sustainable agriculture systems Bahta, Sirak Temoso, Omphile Ng'ombe, John N. Rich, Karl M. Baker, Derek Kaitibie, Simeon Malope, Patrick Productive efficiency of beef cattle production in Botswana: a latent class stochastic meta-frontier analysis |
| title | Productive efficiency of beef cattle production in Botswana: a latent class stochastic meta-frontier analysis |
| title_full | Productive efficiency of beef cattle production in Botswana: a latent class stochastic meta-frontier analysis |
| title_fullStr | Productive efficiency of beef cattle production in Botswana: a latent class stochastic meta-frontier analysis |
| title_full_unstemmed | Productive efficiency of beef cattle production in Botswana: a latent class stochastic meta-frontier analysis |
| title_short | Productive efficiency of beef cattle production in Botswana: a latent class stochastic meta-frontier analysis |
| title_sort | productive efficiency of beef cattle production in botswana a latent class stochastic meta frontier analysis |
| topic | agricultural policies agricultural sector agriculture agronomy analysis beef cattle cattle developing countries disease control ecology efficiency farming farming systems food production infrastructure law livestock management markets monitoring policies production services surveys sustainability sustainable agriculture systems |
| url | https://hdl.handle.net/10568/132568 |
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