Eficiência dos produtores frutícolas em Petrolina: uma análise de fronteira estocástica

The objective of this study is to measure the allocative efficiency in 62 properties that grow fruit trees in the Nilo Coelho irrigated perimeter, in Petrolina, state of Pernambuco. For this, the parametric frontier stochastic method with technical inefficiency is used, using the Cobb-Douglas produc...

Full description

Bibliographic Details
Authors: Barbosa, Gerrio dos Santos, Costa, Edward Martins, Araujo, Jair Andrade de, Barbosa, Gescilene dos Santos
Format: article
Status:Published version
Publication Date:2018
Country:Brasil
Institution:Universidade Federal do Ceará (UFC)
Repository:Repositório Institucional da Universidade Federal do Ceará (UFC)
Language:Portuguese
OAI Identifier:oai:repositorio.ufc.br:riufc/31721
Online Access:http://www.repositorio.ufc.br/handle/riufc/31721
Access Level:Open access
Keyword:Fronteira
Ineficiência
Cobb-Douglas
Description
Summary:The objective of this study is to measure the allocative efficiency in 62 properties that grow fruit trees in the Nilo Coelho irrigated perimeter, in Petrolina, state of Pernambuco. For this, the parametric frontier stochastic method with technical inefficiency is used, using the Cobb-Douglas production function. The results of the estimation point to the irrigated area, spent on labor and inputs with statistically significant elasticities and positive sign, while total area has a negative sign. It is observed that the irrigated area and the labor expense, respectively, present higher elasticities in relation to the value of the fruit production, of 0.63% and 0.41%, in this way, it can be verified That the perimeter is intensive in irrigated area and work. With regard to water expenses, the inefficiency of the firm is reduced by around 37%. In addition, when comparing the seven near producers versus the seven distant ones of the efficient frontier, respectively, it is examined that the average efficiency is 0.78 and 0.20. Finally, it can be concluded that perimeter producers, in general, allocate their factors of production inefficiently.