Measuring the consumer benefits of improving farm animal welfare to inform welfare labelling
A. Kehlbacher,
Richard Bennett and
Kelvin Balcombe
Food Policy, 2012, vol. 37, issue 6, 627-633
Abstract:
Policy makers in the European Union are envisioning the introduction of a community farm animal welfare label which would allow consumers to align their consumption habits with their farm animal welfare preferences. For welfare labelling to be viable the market for livestock products produced to higher welfare standards has to be sufficiently segmented with consumers having sufficiently distinct and behaviourally consistent preferences. The present study investigates consumers’ preferences for meat produced to different welfare standards using a hypothetical welfare score. Data is obtained from a contingent valuation study carried out in Britain. The ordered probit model was estimated using Bayesian inference to obtain mean willingness to pay. We find decreasing marginal WTP as animal welfare levels increase and that people’s preferences for different levels of farm animal welfare are sufficiently differentiated making the introduction of a labelling scheme in the form of a certified rating system appear feasible.
Keywords: Farm animal welfare; Labelling; Welfare score; Meat; Contingent valuation; Bayesian (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (34)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306919212000760
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jfpoli:v:37:y:2012:i:6:p:627-633
DOI: 10.1016/j.foodpol.2012.07.002
Access Statistics for this article
Food Policy is currently edited by J. Kydd
More articles in Food Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().