ECONOMICAL OCCUPATION OF AGRICULTURAL AREA OF PIRACICABA (SAO PAULO STATE, BRAZIL), INCLUDING RISK THROUGH LINEAR PROGRAMMING


Autoria(s): MARQUES, Patricia Angelica Alves; FRIZZONE, Jose Antonio; CAIXETA FILHO, Jose Vicente
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

18/10/2012

18/10/2012

2009

Resumo

The economic occupation of an area of 500 ha for Piracicaba was studied with the irrigated cultures of maize, tomato, sugarcane and beans, having used models of deterministic linear programming and linear programming including risk for the Target-Motad model, where two situations had been analyzed. In the deterministic model the area was the restrictive factor and the water was not restrictive for none of the tested situations. For the first situation the gotten maximum income was of R$ 1,883,372.87 and for the second situation it was of R$ 1,821,772.40. In the model including risk a producer that accepts risk can in the first situation get the maximum income of R$ 1,883,372. 87 with a minimum risk of R$ 350 year(-1), and in the second situation R$ 1,821,772.40 with a minimum risk of R$ 40 year(-1). Already a producer averse to the risk can get in the first situation a maximum income of R$ 1,775,974.81 with null risk and for the second situation R$ 1.707.706, 26 with null risk, both without water restriction. These results stand out the importance of the inclusion of the risk in supplying alternative occupations to the producer, allowing to a producer taking of decision considered the risk aversion and the pretension of income.

Identificador

BIOSCIENCE JOURNAL, v.25, n.1, p.30-41, 2009

1516-3725

http://producao.usp.br/handle/BDPI/19097

http://apps.isiknowledge.com/InboundService.do?Func=Frame&product=WOS&action=retrieve&SrcApp=EndNote&UT=000266649300005&Init=Yes&SrcAuth=ResearchSoft&mode=FullRecord

Idioma(s)

por

Publicador

UNIV FEDERAL UBERLANDIA

Relação

Bioscience Journal

Direitos

openAccess

Copyright UNIV FEDERAL UBERLANDIA

Palavras-Chave #Motad #Risk analysis #Linear programming #MODELS #Agriculture, Multidisciplinary #Agronomy #Biology
Tipo

article

original article

publishedVersion