Access the full text.
Sign up today, get DeepDyve free for 14 days.
A. Mazid, E. Bailey (1992)
Incorporating risk in the economic analysis of agronomic trials: fertilizer use on barley in SyriaAgricultural Economics, 7
J. Hardaker, Louise Patten, D. Pannell (1988)
UTILITY‐EFFICIENT PROGRAMMING FOR WHOLE‐FARM PLANNINGAustralian Journal of Agricultural and Resource Economics, 32
(1992)
`Economic prospects of cereal/medic ley-farming systems in Southern Idleb Province, Syrian Arab Republic', MSc thesis (in Arabic), Department of Agricultural Economics, University of Damascus, Syria
R. Kingwell (1994)
Risk attitude and dryland farm managementAgricultural Systems, 45
D. Lambert, B. McCarl (1985)
Risk Modeling Using Direct Solution of Nonlinear Approximations of the Utility FunctionAmerican Journal of Agricultural Economics, 67
Jock Anderson, J. Dillon, J. Hardaker (1977)
Agricultural Decision Analysis
P. Hazell (1971)
A Linear Alternative to Quadratic and Semivariance Programming for Farm Planning under UncertaintyAmerican Journal of Agricultural Economics, 53
G. Bond, B. Wonder (1980)
RISK ATTITUDES AMONGST AUSTRALIAN FARMERSAustralian Journal of Agricultural and Resource Economics, 24
K. Cocks (1968)
Discrete Stochastic ProgrammingManagement Science, 15
R. Myers (1989)
Econometric testing for risk averse behaviour in agricultureApplied Economics, 21
F. McCamley, J. Kliebenstein (1987)
Describing and Identifying the Complete Set of Target MOTAD SolutionsAmerican Journal of Agricultural Economics, 69
P. Bardsley, M. Harris (1987)
An Approach To The Econometric Estimation Of Attitudes To Risk In AgricultureAustralian Journal of Agricultural and Resource Economics, 31
K. Arrow (1958)
Essays in the theory of risk-bearing
H. Binswanger (1980)
Attitudes toward risk: Experimental measurement in rural indiaArtefactual Field Experiments
R. Kingwell, D. Pannell (1987)
MIDAS, a bioeconomic model of a dryland farm system.
Jack Meyer (1977)
Second Degree Stochastic Dominance with Respect to a FunctionInternational Economic Review, 18
T. Nordblom, D. Pannell (1994)
From Weed to Wealth? Prospects for Medic Pastures in the Mediterranean Farming System of North-West Syria
H. Levy, G. Hanoch (1970)
Relative Effectiveness of Efficiency Criteria for Portfolio SelectionJournal of Financial and Quantitative Analysis, 5
J. Okunev, J. Dillon (1988)
A Linear Programming Algorithm for Determining Mean-Gini Efficient Farm PlansAgricultural Economics, 2
(1989)
`Agricultural planning policy and variability in Syrian cereal production
M. Bhende, J. Venkataram (1994)
Impact of diversification on household income and risk: A whole-farm modelling approachAgricultural Systems, 44
D. Newbery (1981)
The theory of commodity price stabilization
K. Hamal, Jock Anderson (1982)
A NOTE ON DECREASING ABSOLUTE RISK AVERSION AMONG FARMERS IN NEPALAustralian Journal of Agricultural and Resource Economics, 26
T. Nordblom, S. Christiansen, N. Nersoyan, F. Bahhady (1992)
A Whole-Farm Model for Economic Analysis of Medic Pasture and Other Dryland Crops in Two-Year Rotations with Wheat in Northwest Syria
J. Hey (1968)
Uncertainty in Microeconomics
D. Morrison, R. Kingwell, D. Pannell, M. Ewing (1986)
A mathematical programming model of a crop-livestock farm systemAgricultural Systems, 20
J. Hardaker, S. Pandey, Louise Patten (1991)
Farm Planning under Uncertainty: A Review of Alternative Programming ModelsReview of marketing and agricultural economics, 59
J. Antle (1987)
Econometric Estimation of Producers' Risk AttitudesAmerican Journal of Agricultural Economics, 69
R. Pope, R. Just (1991)
On Testing the Structure of Risk Preferences in Agricultural Supply AnalysisAmerican Journal of Agricultural Economics, 73
This article reports on a study of the impact of risk on farm management practices in northern Syria, focusing particularly on how these are affected by risk aversion and farm size. The study is based on production data from an eight‐year field trial and on prices from market surveys. A large linear programming model is built, representing the eight years as observations from a discrete probability distribution. Risk aversion is modelled by inclusion of a utility function with constant relative risk aversion, represented using the DEMP/UEP approach.
The Australian Journal of Agricultural Resource Economics – Wiley
Published: Sep 1, 1998
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.