Cobb-Douglas, Translog Stochastic Production Function and Data Envelopment Analysis in Total Factor Productivity in Brazilian Agribusiness

Authors

  • Paulo Dutra Constantin Universidade Presbiteriana Mackenzie
  • Diogenes Leiva Martin Universidade Presbiteriana Mackenzie
  • Edward Bernard Bastiaan de Rivera Y Rivera Universidade Presbiteriana Mackenzie

DOI:

https://doi.org/10.12660/joscmv2n2p20-33

Keywords:

Total Factor Productivity, Stochastic Frontier, Data Envelopment Analysis

Abstract

The objective of this paper is to apply a Cobb-Douglas, Translog Stochastic Production Function and Data Envelopment Analysis in order to estimate inefficiencies over time as well as respective TFP (Total Factor Productivity) sources for main Brazilian grain crops - namely, rice, beans, maize, soybeans and wheat - throughout the most recent data available comprising the period 2001-2006. The results indicate that, although positive changes exist in TFP for the sample analyzed, a decline in the use of technology has been evidenced for all grain crops in which it is observed a historical downfall in the use of inputs in Brazilian agriculture

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Published

2009-12-28

Issue

Section

08.Innovation and Entrepreneurship