Empirical test of an agricultural landscape model: The importance of farmer preference for risk aversion and crop complexity

Cooke, Ira R., Mattison, Elizabeth H. A., Audsley, Eric, Bailey, Alison P., Freckleton, Robert P., Graves, Anil R., Morris, Joe, Queenborough, Simon A., Sandars, Daniel L., Siriwardena, Gavin M., Trawick, Paul, Watkinson, Andrew R. and Sutherland, William J. (2013) Empirical test of an agricultural landscape model: The importance of farmer preference for risk aversion and crop complexity. SAGE Open, 3 (2). pp. 1-16. ISSN 2158-2440

[thumbnail of Cooke_etal_2013_SAGEOpen]
PDF (Cooke_etal_2013_SAGEOpen) - Published Version
Download (1MB) | Preview


Developing models to predict the effects of social and economic change on agricultural landscapes is an important challenge. Model development often involves making decisions about which aspects of the system require detailed description and which are reasonably insensitive to the assumptions. However, important components of the system are often left out because parameter estimates are unavailable. In particular, measurements of the relative influence of different objectives, such as risk, environmental management, on farmer decision making, have proven difficult to quantify. We describe a model that can make predictions of land use on the basis of profit alone or with the inclusion of explicit additional objectives. Importantly, our model is specifically designed to use parameter estimates for additional objectives obtained via farmer interviews. By statistically comparing the outputs of this model with a large farm-level land-use data set, we show that cropping patterns in the United Kingdom contain a significant contribution from farmer’s preference for objectives other than profit. In particular, we found that risk aversion had an effect on the accuracy of model predictions, whereas preference for a particular number of crops grown was less important. While nonprofit objectives have frequently been identified as factors in farmers’ decision making, our results take this analysis further by demonstrating the relationship between these preferences and actual cropping patterns.

Item Type: Article
Uncontrolled Keywords: agriculture,multiattribute utility theory,socioeconomic model,stated preferences
Faculty \ School: Faculty of Science > School of Biological Sciences
Faculty of Science > School of Environmental Sciences
UEA Research Groups: Faculty of Science > Research Centres > Centre for Ecology, Evolution and Conservation
Faculty of Science > Research Groups > Collaborative Centre for Sustainable Use of the Seas
Depositing User: Pure Connector
Date Deposited: 15 Jan 2014 13:20
Last Modified: 24 Oct 2022 05:59
URI: https://ueaeprints.uea.ac.uk/id/eprint/47251
DOI: 10.1177/2158244013486491


Downloads per month over past year

Actions (login required)

View Item View Item