29 pages, Agent-based models are important tools for simulating farmers’ behaviour in response to changing environmental, economic or institutional conditions and policies. This article introduces an agent-based modelling approach that combines behavioural factors with standard bio-economic modelling of agricultural production. More specifically, our framework integrates the cumulative prospect theory and social interactions with constrained optimisation decisions in agricultural production. We apply our modelling approach to an exemplary bio-economic model on the assessment of weed control decisions. Results show the effects of heterogeneous farm decision-making and social networks on mechanical weed control and herbicide use. This framework provides a generic and conceptually sound approach to improve the scope for representing farmers’ decision-making and allows the simulation of their decisions and recent advances in behavioural economics to be aligned with existing bio-economic models of agricultural systems.
15 pages, Increasing popularity of economic experiments for policy impact analysis has led to an on-going debate about the suitability of students to substitute professionals as experimental subjects. To date, subject pool effects in agricultural and resource economics experiments have not been sufficiently studied. In order to identify differences and similarities between students and non-students, we carry out an experiment in the form of a multi-period business management game that is adapted to an agri-environmental context. We compare the compliance behaviour of German agricultural students and German farmers with regard to water protection rules and analyse their responses to two different green nudge interventions. The experimental results reveal that the direction of the response to the policy treatments is similar. Even unexpected behaviour could be reproduced by the student sample. Nevertheless, the magnitude of the treatment effects differed between the two samples. This implies that experimenters in the field of agricultural and resource economics could use the subject pool of students to analyse the direction of nudge policies. If predictions should be made about the magnitude effects, we suggest using a professional subject pool.
25 pages, n many countries farmers face pressure to adopt practices to promote sustainability and resilience while ensuring efficient business management to produce food and other agricultural products at reasonable cost. Given a policy context in which voluntary action is preferred over government regulation, understanding farmers’ motivation to embrace recommended practices has become a major subject for research. Increasingly, this endeavour is guided by the theory of planned behaviour, a reasoned action approach (Fishbein and Ajzen, 2010). We provide a brief overview of the theory of planned behaviour and an elaboration of good practices in the assessment of the theory’s constructs. We systematically review 124 applications of the theory to farmer behaviour on a number of specific review criteria. Based on observations of improper use, we consider theoretical and methodological issues and provide recommendations for research design and data analysis.
