Abstract
AbstractThe level and determinants of technical efficiency in milk-producing households are examined in connection with households’ level of commercialization. A sample of 469 milk producers are modeled using Stochastic Frontier Analysis (SFA). Average Technical Efficiency (TE) is estimated to be 80%, with variation among regions and generally reflecting levels of commercialization. Results show that assuming milk producers are rational, TE is increased by increasing the number of cattle, cows, and crossbreeds, and by additinal veterinary and feed inputs. These results support much existing research, and our contribution is the extension of analysis to actions and characteristics of the value chain due to commercial behaviors. We identify both direct and indirect potential effects of commercialization and identify mechanisms for their operation in development programs for commercial value chains. We find that credit access, training, group membership, market participation, and female household all improve TE while non-cattle income would reduce TE. We present sub-groups of households to better contrast levels of productivity and compare a limited number of the sub-groups' characteristics and actions. We provide commentary and explanation regarding commercialization and its direct and indirect connections to productivity. Recommendations include partnerships and facilitating actions that support commercialization, in association with improving efficiency in Tanzanian dairy.
Publisher
Springer Science and Business Media LLC
Subject
Development,Geography, Planning and Development
Reference53 articles.
1. Aigner, D., K. Lovell, and P. Schmidt. 1977. Formulation and estimation of stochastic frontier production function models. Journal of Econometrics 6 (1): 21–37.
2. Bahta, S., B. Derek, P. Malope, and K. Hikuepi. 2015. A Stochastic Meta-frontier analysis of the determinants of technical efficiency. An application to Botswana's different beef farm systems. Paper presented at the 29th International Conference of Agricultural Economists (ICAE), 8–14 Aug, Milan, Italy.
3. Bahta, S., and P. Malope. 2014. Measurement of competitiveness in smallholder livestock systems and emerging policy advocacy an application to Botswana. Food Policy 49 (2): 408–417.
4. Baker, D., J. Cadilhon, and W. Ochola. 2015. Identification and analysis of smallholder producers’ constraints: Applications to Tanzania and Uganda. Development in Practice 25 (2): 204–220. https://doi.org/10.1080/09614524.2015.1007924.
5. Battese, G.E., D.S.P. Rao, and C. O'Donnell. 2004. A metafrontier production function for estimation of technical efficiencies and technology gaps for firms operating under different technologies. Journal of Productivity Analysis 21 (1): 91–103.
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