Efficiency Measures in the Agricultural Sector: The Beginning


Autoria(s): Silva, Emiliana; Mendes, Armando B.; Santos, Jorge M. A.
Data(s)

03/03/2014

03/03/2014

2013

Resumo

Copyright © 2013 Springer Netherlands.

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.

Identificador

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.

978-94-007-5738-7 (Print)

978-94-007-5739-4 (Online)

http://hdl.handle.net/10400.3/2851

Idioma(s)

eng

Publicador

Springer Netherlands

Relação

http://link.springer.com/chapter/10.1007/978-94-007-5739-4_1

Direitos

restrictedAccess

Palavras-Chave #Data Envelopment Analysis #Models #Non-parametric #Parametric #Stochastic Frontier Analysis
Tipo

bookPart