Risk preference and optimal crop combinations in upland Java, Indonesia: An application of stochastic programming

Teruaki Nanseki; Yoshinori Morooka

doi:10.1016/0169-5150(91)90035-J

Risk preference and optimal crop combinations in upland Java, Indonesia: An application of stochastic programming

Teruaki Nanseki, Yoshinori Morooka

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

A stochastic programming model was used to evaluate the economic performance of a soybean-based farming system in upland Java. The model incorporates farmers' risk preferences, revenue fluctuations and resources restrictions. The results show that (1) changes in risk preference do affect the optimal crop combination, and (2) the typical cropping pattern is rational under the present level of the farmers' risk preference estimated in the study site.

Original language	English
Pages (from-to)	39-58
Number of pages	20
Journal	Agricultural Economics
Volume	5
Issue number	1
DOIs	https://doi.org/10.1016/0169-5150(91)90035-J
Publication status	Published - Jan 1991
Externally published	Yes

All Science Journal Classification (ASJC) codes

Agronomy and Crop Science
Economics and Econometrics

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10.1016/0169-5150(91)90035-J

Cite this

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title = "Risk preference and optimal crop combinations in upland Java, Indonesia: An application of stochastic programming",

abstract = "A stochastic programming model was used to evaluate the economic performance of a soybean-based farming system in upland Java. The model incorporates farmers' risk preferences, revenue fluctuations and resources restrictions. The results show that (1) changes in risk preference do affect the optimal crop combination, and (2) the typical cropping pattern is rational under the present level of the farmers' risk preference estimated in the study site.",

author = "Teruaki Nanseki and Yoshinori Morooka",

year = "1991",

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N2 - A stochastic programming model was used to evaluate the economic performance of a soybean-based farming system in upland Java. The model incorporates farmers' risk preferences, revenue fluctuations and resources restrictions. The results show that (1) changes in risk preference do affect the optimal crop combination, and (2) the typical cropping pattern is rational under the present level of the farmers' risk preference estimated in the study site.

AB - A stochastic programming model was used to evaluate the economic performance of a soybean-based farming system in upland Java. The model incorporates farmers' risk preferences, revenue fluctuations and resources restrictions. The results show that (1) changes in risk preference do affect the optimal crop combination, and (2) the typical cropping pattern is rational under the present level of the farmers' risk preference estimated in the study site.

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JO - Agricultural Economics

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ER -

Risk preference and optimal crop combinations in upland Java, Indonesia: An application of stochastic programming

Abstract

All Science Journal Classification (ASJC) codes

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