Productive efficiency of beef cattle production in Botswana: a latent class stochastic meta-frontier analysis

被引:3
作者
Bahta, Sirak [1 ]
Temoso, Omphile [2 ]
Ng'ombe, John N. N. [3 ]
Rich, Karl M. M. [4 ]
Baker, Derek [5 ]
Kaitibie, Simeon [6 ]
Malope, Patrick [7 ]
机构
[1] Int Livestock Res Inst ILRI, Nairobi, Kenya
[2] Univ New England, Australia Univ New England, UNE Business Sch, Armidale, NSW, Australia
[3] North Carolina A&T State Univ, Dept Agribusiness Appl Econ & Agrisci Educ, Greensboro, NC USA
[4] Oklahoma State Univ, Dept Agr Econ, Stillwater, OK USA
[5] Univ New England, Australia Univ New England, UNE Ctr Agribusiness, Armidale, NSW, Australia
[6] Lincoln Univ, Dept Agribusiness & Markets, Christchurch, New Zealand
[7] Botswana Univ Agr & Nat Resources BUAN, Dept Agr & Appl Econ, Gaborone, Botswana
关键词
latent class stochastic frontiers; stochastic meta-frontier analysis; technical efficiency; Botswana; beef cattle production; METAFRONTIER PRODUCTION FUNCTION; TECHNICAL EFFICIENCY; AGRICULTURAL PRODUCTIVITY; LIVESTOCK PRODUCTION; TECHNOLOGY CHOICE; DISTANCE FUNCTION; DAIRY FARMS; PERFORMANCE; SYSTEMS; FIRMS;
D O I
10.3389/fsufs.2023.1098642
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
IntroductionEfficiency 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. MethodsThe 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. ResultsResults 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. DiscussionBased 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.
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页数:16
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