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2013 | OriginalPaper | Chapter

1. Efficiency Measures in the Agricultural Sector: The Beginning

Authors : Emiliana Silva, Armando B. Mendes, Jorge Santos

Published in: Efficiency Measures in the Agricultural Sector

Publisher: Springer Netherlands

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Abstract

The agricultural productivity is often based on non-parametric models (DEA), or stochastic models (SFA). In this initial article, the editors start by pointing that the models (DEA and SFA) allow estimating the efficiency of the production frontier and their structural forms. Then, it is presented, in general terms, the differences between DEA and SFA models: DEA model involves the use of technical linear programming to construct a non-parametric piecewise surface, and SFA models comprise econometric models with a random variable, or an error term, including two components: one to account for random effects and another to take care of the technical inefficiency effects. Finally, it shows a comparison between the two approaches (SFA and DEA) and the advantages and disadvantages of their utilizations.

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next chapter Review of Frontier Models and Efficiency Analysis: A Parametric Approach
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Metadata
Title
Efficiency Measures in the Agricultural Sector: The Beginning
Authors
Emiliana Silva
Armando B. Mendes
Jorge Santos
Copyright Year
2013
Publisher
Springer Netherlands
Book
Efficiency Measures in the Agricultural Sector

Print ISBN: 978-94-007-5738-7

Electronic ISBN: 978-94-007-5739-4

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-94-007-5739-4_1