Abstract

This study analyzes technical efficiency and determinants of the efficiency of honey production in the Gomma and Gera districts of the Jimma zone. The data were obtained from 194 randomly selected honey-producing smallholder farmers. A Cobb - Douglas stochastic frontier production analysis with the inefficiency effect model was used to estimate technical efficiency and identify the determinants of efficiency variations among honey farmers. The study showed that several hives and supplementary feeds positively and significantly influenced honey yield. This shows that there is room to increase honey productivity from the current level if farmers can efficiently use these input variables. The result further showed that there were differences in technical efficiency among honey producers in the study area. The discrepancy ratio, γ, which measures the relative deviation of output from the frontier level due to inefficiency, was about 84%. This implies that about 84% of the variation in honey output among the farmers was attributed to technical inefficiency effects. The estimated mean level of technical efficiency of honey producers was about 74%. This reveals that there is a possibility to increase the level of honey output by about 26% through exploiting the existing local practices and technical knowledge of the relatively efficient farmers. The education level of the farmer, landholding, income, extension contact, and training were found to determine technical efficiency significantly. Therefore, the concerned sector should focus on the above variables to enhance the technical efficiency of honey producers in the study area.

Highlights

  • Agriculture is still dominating the Ethiopian economy sharing about 43% of the GDP, 80% of employment, and 90% of export earnings (Demese et al, 2010)

  • The mean land size indicates that honey producers in the study area are using forest, which confirms that one of the characteristics of honey production in Ethiopia

  • The mean level of labour used by honey producers was found to be 12.45 person-days, which was obtained by aggregating labour used for all honey production activities

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Summary

Introduction

Agriculture is still dominating the Ethiopian economy sharing about 43% of the GDP, 80% of employment, and 90% of export earnings (Demese et al, 2010). Smallholder farmers account for more than 85% of the rural population who directly engaged in agricultural production. Ethiopia is blessed with numerous types of wild honeybees. This situation made Ethiopia be one of the countries on the continent which own huge honey production potential. Despite this fact, the country still could not harvest this real potential for the required amount due to several reasons.

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