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Please use this identifier to cite or link to this item: http://purl.umn.edu/10442

Title: Improved Program Planning Approaches Generates Large Benefits in High Risk Crop Farming
Authors: Musshoff, Oliver
Hirschauer, Norbert
Keywords: production program planning
optimization
uncertainty
static distributions
stochastic processes
JEL Codes: C1
C61
M11
Q12
Issue Date: 2007
Series/Report no.: Conference Paper
Abstract: This paper examines whether there is room for the improvement of farm program decisions through the incorporation of mathematical optimization in the practical planning process. Probing the potential for improvement, we investigate the cases of four German cash crop farms over the last six years. The formal planning approach includes a systematic time series analysis of farmspecific single gross margins and a stochastic optimization model. In order to avoid solutions that simply exceed the farmer’'s risk tolerance, the apparently accepted variance of the observed program’'s total gross margin which represents an observable reflection of the individual farmer'’s risk attitude is used as an upper bound in the optimization. For each of the 24 planning occasions, the formal model is used in a quasi ex-ante approach that provides optimized alternative programs. The total gross margins that could have been realized if the formally optimized programs had been implemented are then ex-post compared to those that were actually realized. We find that the farmers could have increased their total gross margins significantly if - instead of using simple routines and rules of thumb - they had used the more sophisticated formal planning model. However, we also find that the superiority of formalized planning approaches depends on the quality of statistical analysis and the resulting forecasting model. Using our approach for practical decision support implies that farmers first specify their “"own”" production programs without the formal planning aid. Then, an alternative program can be provided which leads to superior expected total gross margins without exceeding the farmer’'s accepted total gross margin variance.
URI: http://purl.umn.edu/10442
Institution/Association: Australian Agricultural and Resource Economics Society - 2007>2007 Conference (51st), February 13-16, 2007, Queenstown, New Zealand
Total Pages: 34
Language: English
Collections:2007 Conference (51st), February 13-16, 2007, Queenstown, New Zealand

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