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Advisor(s)
Abstract(s)
The agricultural productivity is often based on non-parametric models 5 (DEA), or stochastic models (SFA). In this initial article, the editors start by 6 pointing that the models (DEA and SFA) allow estimating the efficiency of the 7 production frontier and their structural forms. Then, it is presented, in general terms, 8 the differences between DEA and SFA models: DEA model involves the use of 9 technical linear programming to construct a non-parametric piecewise surface, and 10 SFA models comprise econometricmodels with a random variable, or an error term, 11 including two components: one to account for random effects and another to take 12 care of the technical inefficiency effects. Finally, it shows a comparison between 13 the two approaches (SFA and DEA) and the advantages and disadvantages of their 14 utilizations.
Description
Copyright © 2013 Springer Netherlands.
Keywords
Data Envelopment Analysis Models Non-parametric Parametric Stochastic Frontier Analysis
Citation
Silva, Emiliana; Mendes, Armando B.; Santos, Jorge M. (2013). "Efficiency Measures in the Agricultural Sector: The Beginning", In Mendes, Armando, L. D. G. Soares da Silva, Emiliana, Azevedo Santos, Jorge M. (Eds.), «Efficiency Measures in the Agricultural Sector: With Applications», pp. 3-12. ISBN 978-94-007-5738-7. Dordrecht: Springer Netherlands. http://dx.doi.org/10.1007/978-94-007-5739-4_1.
Publisher
Springer Netherlands