Record Display for the EPA National Library Catalog

RECORD NUMBER: 9 OF 27

OLS Field Name OLS Field Data
Main Title Efficiency Measures in the Agricultural Sector With Applications / [electronic resource] :
Type EBOOK
Author Mendes, Armando B.
Other Authors
Author Title of a Work
L. D. G. Soares da Silva, Emiliana.
Azevedo Santos, Jorge M.
Publisher Springer Netherlands : Imprint: Springer,
Year Published 2013
Call Number GE45.M37
ISBN 9789400757394
Subjects Environmental sciences. ; Mathematical optimization. ; Economics--Statistics. ; Farm economics.
Internet Access
Description Access URL
http://dx.doi.org/10.1007/978-94-007-5739-4
Collation XVI, 197 p. 41 illus., 24 illus. in color. online resource.
Notes
Due to license restrictions, this resource is available to EPA employees and authorized contractors only
Contents Notes
Contents: -- Part I Efficiency Measures and Methods -- 1 Efficiency Measures in the Agricultural Sector: The Beginning -- 2 Review of Frontier Models and Efficiency Analysis: A Parametric Approach -- 3 Introduction to Data Envelopment Analysis -- 4 Superefficiency and Multiplier Adjustment in Data Envelopment Analysis -- Part II Farm Efficiency -- 5 An Application of Data Envelopment Analysis (DEA) in Azores Dairy Farms -- 6 Animal Grazing System Efficiency -- 7 Technical Efficiency of the Spanish Dairy Processing Industry: Do Size and Exporting Matter? -- 8 Inefficiency in Animal Production - A Parametric Approach -- 9 Azorean Agriculture Efficiency by PAR -- 10 Sustainable Tourism and Agriculture Multifunctionality by PAR: A Variable Selection Approach -- 11 The Importance of Subsidies in Azorean Dairy Farms Efficiency -- 12 Multi-Ouput Technical Efficiency in the Olive Oil Industry and its Relation to the Form of Business Organisation -- 13 Efficiency Assessment: Final Remarks -- Index. Efficiency Measures in the Agricultural Sector opens with detailed descriptions of measurement techniques such as Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA), which are often used to support models in analysis of agricultural productivity, based on mathematical programming (non-parametric, non-stochastic) models or econometric (stochastic, parametric) models. Among the factors studied using these techniques are the abundance of subsidies, strong competition between regions worldwide and the need for efficient production systems. In some countries like Portugal, this sector is being revitalized in face of the need for reducing imports. The editors draw on a 3-year project that analyzed a Portuguese area in detail, comparing this study with papers from other regions. Applications include the estimation of technical efficiency in agricultural grazing systems (dairy, beef and mixed) and specifically for dairy farms. The conclusions indicate that it is now necessary to help small dairy farms in order to make them more efficient. These results can be compared with the technical efficiency of a sample of Spanish dairy processing firms presented by Magdalena Kapelko and co-authors.