Article ID Journal Published Year Pages File Type
5073936 Geoforum 2014 9 Pages PDF
Abstract

•Understanding farmers' response to risk is currently an under researched area.•Bovine TB, is used to explore farmers' response behaviour and social networks.•Data from a large scale postal survey are subjected to factor and cluster analysis.•Two farmer groups are identified distinguished by their attitudes towards bovine TB.•Explores policy interventions to address the disconnect between attitudes and behaviour.

While agricultural risk and risk perception has received significant attention in the literature, few studies have explored the factors that influence the way farmers respond to particular risks. This paper uses the case of bovine tuberculosis (bTB), one of the most significant risks currently facing the English cattle farming industry, to explore these factors, with a particular focus on the role of social networks. A large scale postal survey distributed to beef and dairy farmers in the south west of England provides representative data which are subjected to factor and cluster analysis in order explore farmer views towards and responses to disease risk. Two groups of farmers are identified which can be distinguished from each other based on their attitudes towards bTB and the nature of their social networks. Farmers with wider, more externally focussed social networks are found to be more resilient than those whose social networks are restricted to family members and other farmers. However, while differences between the two groups are found in terms of their attitudes towards bTB, no differences are found in relation to their risk management behaviour, with few farmers taking clear action to reduce the risk of their herds contracting the disease. In order to address the identified disconnection between attitudes and behaviour, a number of potential interventions are put forward and discussed.

Related Topics
Social Sciences and Humanities Economics, Econometrics and Finance Economics and Econometrics
Authors
, ,