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Efficiency Measures in the Agricultural Sector

With Applications

  • Armando B. Mendes
  • Emiliana L. D. G. Soares da Silva
  • Jorge M Azevedo Santos

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Efficiency Measures and Methods

    1. Front Matter
      Pages 1-1
    2. Emiliana Silva, Armando B. Mendes, Jorge Santos
      Pages 3-12
    3. Jorge Santos, Elsa Rosário Negas, Luís Cavique Santos
      Pages 37-50
    4. Jorge Santos, Luís Cavique Santos, Armando B. Mendes
      Pages 51-70
  3. Farm Efficiency Applications

    1. Front Matter
      Pages 71-71
    2. Emiliana Silva, Amílcar Arzubi, Julio Berbel
      Pages 73-81
    3. Emiliana Silva, Carlos Santos, Armando B. Mendes
      Pages 83-91
    4. Emiliana Silva, Fátima Venâncio
      Pages 107-116
    5. Armando B. Mendes, Veska Noncheva, Emiliana Silva
      Pages 117-136
    6. Armando B. Mendes, Veska Noncheva, Emiliana Silva
      Pages 137-156
    7. Emiliana Silva, Eusébio Marote
      Pages 157-166
    8. Rafaela Dios-Palomares, José M. Martínez-Paz, Angel Prieto
      Pages 167-189
    9. Jorge Santos, Emiliana Silva, Armando B. Mendes
      Pages 191-193
  4. Back Matter
    Pages 195-197

About this book

Introduction

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. 

Keywords

Agricultural Sector Data Envelopment Analysis Decision Support Farm efficiency Stochastic Frontier Analysis

Editors and affiliations

  • Armando B. Mendes
    • 1
  • Emiliana L. D. G. Soares da Silva
    • 2
  • Jorge M Azevedo Santos
    • 3
  1. 1., MathematicsAzores UniversityPonta DelgadaPortugal
  2. 2., Agricultural Sciences DepartmentUniversity of AzoresAngra do HeroísmoPortugal
  3. 3., MathematicsEscola de Ciências e TecnologiaÉvoraPortugal

Bibliographic information