Maria Espinosa-Goded is a researcher at the Institute for Prospective and Technological Studies (IPTS)-JRC-European Commission, Sevilla, Spain. Jesus Barreiro-Hurlé is working at the Andalusian Agricultural Research Institute (IFAPA), Centro Camino de Purchil, P.O. BOX 2027, 18080, Granada, Spain. E-mail: email@example.com for correspondence. Eric Ruto is Lecturer at the School of Agriculture, Food and Rural Development, Newcastle University, Newcastle Upon Tyne, NE1 7RU, UK. This research is part of the DISOPTIPOL project funded by INIA-MEC and EU-FEDER. The views expressed are purely those of the authors and may not in any circumstances be regarded as stating an official position of the European Commission. We gratefully acknowledge the assistance of Fredrik Carlsson in the econometric modelling. We would like to thank the editor and three anonymous referees for helpful comments on earlier versions of this article. Any remaining errors are our own.
What Do Farmers Want From Agri-Environmental Scheme Design? A Choice Experiment Approach
Article first published online: 1 MAR 2010
© 2010 The Authors. Journal compilation © 2010 The Agricultural Economics Society
Journal of Agricultural Economics
Volume 61, Issue 2, pages 259–273, June 2010
How to Cite
Espinosa-Goded, M., Barreiro-Hurlé, J. and Ruto, E. (2010), What Do Farmers Want From Agri-Environmental Scheme Design? A Choice Experiment Approach. Journal of Agricultural Economics, 61: 259–273. doi: 10.1111/j.1477-9552.2010.00244.x
- Issue published online: 13 MAY 2010
- Article first published online: 1 MAR 2010
- (Original submitted May 2009, revision received October 2009, accepted December 2009.)
- Agri-environmental schemes;
- choice experiment;
- error component random parameter logit model;
Agri-environmental schemes (AES) have had a limited effect on European agriculture due to farmers’ reluctance to participate. Information on how farmers react when AES characteristics are modified can be an important input to the design of such policies. This article investigates farmers’ preferences for different design options in a specific AES aimed at encouraging nitrogen fixing crops in marginal dry-land areas in Spain. We use a choice experiment survey conducted in two regions (Aragón and Andalusia). The analysis employs an error component random parameter logit model allowing for preference heterogeneity and correlation amongst the non-status quo alternatives. Farmers show a strong preference for maintaining their current management strategies; however, significant savings in cost or increased participation can be obtained by modifying some AES attributes.