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An analysis of technical performance in Turkish beekeeping farms using Translog Production Function

Authors: Uysal, O; Karlidag, S; Gunduz, O;

An analysis of technical performance in Turkish beekeeping farms using Translog Production Function

Abstract

This paper investigates technical efficiencies of beekeeping farms and their determinants, using stochastic production frontier function in Malatya Province of Turkey. Data used in the study were collected from randomly selected 58 beekeepers. For the estimation of farm level technical efficiency coefficients, Stochastic Frontier Analysis method was performed. Translog production function was used in the analysis. Research results showed that the technical efficiency scores of beekeeping farms in Malatya varied from 0.261 to 0.998 with mean of 0.728. It revealed that beekeeping farms would have produced same output with the decreased of inputs by 27.2%. Results of the Stochastic Frontier Analysis model showed that inefficiencies of beekeeping farms were mostly due to non-random factors such as age, education, experience and migratory beekeeping condition. In order to achieve the rationale input use, training and extension studies consistent with the good farm management and adaptation of new production methods should be applied.

Country
Turkey
Related Organizations
Keywords

Stochastic Frontier Analysis, Beekeeping, Elasticity

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green