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University of Szeged (2020)

Microeconometric models of the livestock sector : A farm-level analysis of Southern rangelands of Kenya

Manyeki, John Kibara

Titre : Microeconometric models of the livestock sector : A farm-level analysis of Southern rangelands of Kenya

Auteur : Manyeki, John Kibara

Université de soutenance : University of Szeged

Grade : Doctor of Philosophy (PhD) 2020

Résumé partiel
Even though the livestock sector plays a crucial role in the Kenyan agricultural economy, livestock production and productivity has been declining over the last decades. Production and productivity can be boosted through the increase in efficiency of producer or improvement of technology, or by improving the marketing strategies and/or institutions, given the differentiation by production or farming system in the livestock sector. This thesis concerns on livestock farm-level production efficiency and marketing analysis (especially on products supply and factor input demand responsiveness and market participation behaviour) since they are an essential issue in the evaluation of economic viability and policy implication. The assessment of livestock farm-level performance requires the use of an adequate methodological approach to determine sound efficiency estimates, output products supply and factor input demand elasticities and market participation parameters. By targeting the pastoral and agro-pastoral smallholder livestock communities not previously investigated and using a new methodological approach, this thesis contributes to the literature both from a methodological and empirical point of view. Three specific objectives have been pursued and constitute the main body of the present thesis. The first objective focus on the investigation of production efficiency of smallholder farm households leaving in the southern rangelands of Kenya while considering farm uses different technological scope. Its novelty is to address unobserved farm-heterogeneity in farm-level datasets and the necessity to take this heterogeneity into account to obtain unbiased measures of technical efficiency in a parametric stochastic frontier framework. The results are compared with a model which assumes that the technology is common to all farmers. Test statistics confirm that unless livestock farmers’ heterogeneity is adequately considered, estimating a homogeneous stochastic frontier will lead to misleading implication about inefficiency policy recommendations.

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