Cited by 115Economic and Environmental ValuationAnimal Behavior and Welfare StudiesOrganic Food and Agriculture

Measuring the consumer benefits of improving farm animal welfare to inform welfare labelling

Open access
Kehlbacher, A., Bennett, R., Balcombe, K.·2012·Food Policy

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.foodpol.2012.07.002

Cites

33 of 33 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Willingness to pay more for animal welfare standards is higher for women and for consumers with higher level of education and income.

    “The willingness to pay more has been found higher for women and for consumers with higher level of education and income (Kehlbacher, Bennett, & Balcome, 2012).”

    From Emerging trends in European food, diets and food industry (2018) · cites this paper as Kehlbacher et al., 2012

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 4

  1. Balcombe, K.G., Chalak, A., Fraser, I., 2009a. Model selection for the Bayesian mixed logit. Journal of Environmental Economics and Management 57, 226-237.
  2. McInerney, J., 1994. Animal welfare: An economic perspective, in: Bennett, R.M. (Ed.), Valuing farm animal welfare, University of Reading, Workshop held at the University of Reading, 30 September 1993. pp. 9-25.
  3. Veissier, I., Evans, A., 2007. Rationale behind the Welfare Quality R assessment of animal welfare, in: Veissier, I., Forkman, B., Jones, B. (Eds.), Second Welfare Quality R stakeholder conference "Assuring animal welfare: from societal concerns to implementation", 3-4 May 2007, Berlin, Germany.
  4. Veissier, I., Forkman, B., Jones, B. (Eds.), 2007. Assuring animal welfare: from societal concerns to implementation -Second Welfare Quality R stakeholder conference, Berlin.

Cited by

Sorted by citations

Authors
Kehlbacher, A., Bennett, R., & Balcombe, K.
Affiliations
University of Reading (GB)
Corresponding author
Kehlbacher, A.
Venue
Food Policy
Publisher
Elsevier BV
Published
2012-12
Volume
37
Issue
6
Pages
627-633
ISSN
0306-9192 (ISSN-L)
OpenAlex
W2101885514
Cited by
115
References
33
Citations by year
2026: 7 · 2025: 5 · 2024: 5 · 2023: 4 · 2022: 14 · 2021: 8 · 2020: 8 · 2019: 6 · 2018: 6 · 2017: 11 · 2016: 11 · 2015: 9 · 2014: 12 · 2013: 8 · 2012: 1
FWCI
22.96
Type
journal article
Language
en
Open access
Locations
  • Food Policy (publishedVersion)
  • CentAUR (University of Reading) (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
Economic and Social Research Council
Topics
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic and Environmental Valuation
  • Health Sciences › Veterinary › Small Animals › Animal Behavior and Welfare Studies
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Organic Food and Agriculture
Keywords
livestock welfare, consumer preferences, willingness to pay, meat products, welfare standards, market segmentation, EU animal welfare policy

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review