Journal
EUROPEAN REVIEW OF AGRICULTURAL ECONOMICS
Volume 46, Issue 2, Pages 237-266Publisher
OXFORD UNIV PRESS
DOI: 10.1093/erae/jby029
Keywords
farm exits; spatial interactions; unobserved heterogeneity; mixture models; EM algorithm
Categories
Funding
- Deutsche Forschungsgemeinschaft [STO 1087/1-1]
- Credit Agricole en Bretagne
- Agrocampus Ouest
Ask authors/readers for more resources
Accounting for spatial interactions between farms is highly relevant for the analysis of agricultural policy impacts. Existing studies, however, only account for homogeneous (average) spatial interactions. We develop a mixture modelling framework to account for unobserved heterogeneity, allowing spatial interaction to vary across endogenously defined farm types. We apply this approach to study farmer decisions to exit the farming business using a large panel dataset covering all registered farms in Brittany, France, for the period 2004-2014. While exiting is on average positively correlated with neighbouring farm size, we find substantial variation between farm types, and a negative correlation for a significant proportion of farms. The approach we develop not only enables us to identify different correlations between neighbouring farm size and exits from farming but also yields different results than pooled estimations.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available