Login | Request Account (DAF staff only)

Identifying risk-efficient strategies using stochastic frontier analysis and simulation: An application to irrigated cropping in Australia

Share this record

Add to FacebookAdd to LinkedinAdd to XAdd to WechatAdd to Microsoft_teamsAdd to WhatsappAdd to Any

Export this record

View Altmetrics

Power, B. and Cacho, O. J. (2014) Identifying risk-efficient strategies using stochastic frontier analysis and simulation: An application to irrigated cropping in Australia. Agricultural Systems, 125 . pp. 23-32.

PDF (AgSystems_Power_2014)

Article Link: http://dx.doi.org/10.1016/j.agsy.2013.11.002

Publisher URL: http://www.sciencedirect.com/science/article/pii/S0308521X13001467


In irrigated cropping, as with any other industry, profit and risk are inter-dependent. An increase in profit would normally coincide with an increase in risk, and this means that risk can be traded for profit. It is desirable to manage a farm so that it achieves the maximum possible profit for the desired level of risk. This paper identifies risk-efficient cropping strategies that allocate land and water between crop enterprises for a case study of an irrigated farm in Southern Queensland, Australia. This is achieved by applying stochastic frontier analysis to the output of a simulation experiment. The simulation experiment involved changes to the levels of business risk by systematically varying the crop sowing rules in a bioeconomic model of the case study farm. This model utilises the multi-field capability of the process based Agricultural Production System Simulator (APSIM) and is parameterised using data collected from interviews with a collaborating farmer.

We found sowing rules that increased the farm area sown to cotton caused the greatest increase in risk-efficiency. Increasing maize area also improved risk-efficiency but to a lesser extent than cotton. Sowing rules that increased the areas sown to wheat reduced the risk-efficiency of the farm business. Sowing rules were identified that had the potential to improve the expected farm profit by ca. $50,000 Annually, without significantly increasing risk. The concept of the shadow price of risk is discussed and an expression is derived from the estimated frontier equation that quantifies the trade-off between profit and risk.

Item Type:Article
Business groups:Crop and Food Science
Subjects:Agriculture > Agriculture (General) > Improvement, reclamation, fertilisation, irrigation etc., of lands (Melioration)
Agriculture > Agriculture (General) > Agricultural economics
Science > Statistics > Simulation modelling
Live Archive:19 Aug 2014 01:30
Last Modified:03 Sep 2021 16:49

Repository Staff Only: item control page


Downloads per month over past year

View more statistics