7 pages., via online journal., The aim of this work is to explore the relation between morality and diet choice by investigating how animal and
human welfare attitudes and donation behaviors can predict a meat eating versus flexitarian versus vegetarian
diet. The results of a survey study (N=299) show that animal health concerns (measured by the Animal
Attitude Scale) can predict diet choice. Vegetarians are most concerned, while full-time meat eaters are least
concerned, and the contrast between flexitarians and vegetarians is greater than the contrast between
flexitarians and full-time meat eaters.
With regards to human welfare (measured by the Moral Foundations Questionnaire), results show that attitudes
towards human suffering set flexitarians apart from vegetarians and attitudes towards authority and respect
distinguish between flexitarians and meat eaters. To conclude, results show that vegetarians donate more
often to animal oriented charities than flexitarians and meat eaters, while no differences between the three
diet groups occur for donations to human oriented charities.
20 pages., Online via UI e-subscription, This article centered on the representation of food additives as a matter of key importance to the public's conceptualization of them. Findings from a systematic qualitative study of the magazines of two Belgian consumer organizations revealed that additives were seen as providing no benefits to consumers, for they could be used to reduce the quality of both the ingredients and the production process. They were perceived as a means of deceiving the public, with portrayal of consumers as powerless in the struggle for control over the types and amounts of additives they ingested. In turn, the limitations were seen as a failure of government and scientific institutions to provide the necessary protection.
Hansen, Maggie Jo (author) and Edgar, Leslie D. (author)
Format:
Paper
Publication Date:
2015
Published:
Belgium
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 138 Document Number: D05787
Notes:
Paper presented in the Agricultural Communications Section of the annual conference of the Southern Association of Agricultural Scientists, Atlanta, Georgia, January 31-February 1, 2015. 23 pages.
Huysveld, Sophie (author), Van Meensel, Jef (author), Van linden, Veerle (author), De Meester, Steven (author), Peiren, Nico (author), Muylle, Hilde (author), Dewulf, Jo (author), and Lauwers, Ludwig (author)
Format:
Journal article
Publication Date:
2017-01
Published:
Belgium: Elsevier
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 161 Document Number: D07798
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 141 Document Number: D06167
Notes:
Online from Scopus.com. Abstract of paper presented at joint conference of ESREL (European Safety and Reliability) and SRA-Europe (Society for Risk Analysis Europe)in Valencia, Spain, September 22-25, 2008. 1 page.
Mather, Damien W. (author), Knight, John G. (author), Insch, Andrea (author), Holdsworth, David K. (author), Ermen, David F. (author), and Breitbarth, Tim (author)
Format:
Journal article
Publication Date:
2012
Published:
International
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Document Number: D06487
Meul, Marijke (author), Van Middelaar, Corina E. (author), de Boer, Imke J.M. (author), Van Passel, Steven (author), Fremaut, Dirk (author), and Haesaert, Geert (author)
Format:
Journal article
Publication Date:
2014-11
Published:
Belgium: Elsevier
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 161 Document Number: D07816
15 pages, The current study applied a “mixture-amount modeling” statistical approach—used most often in biology, agriculture, and food science—to measure the impact of advertising effort and allocation across different media. The authors of the current paper believe advertisers can use the mixture-amount model to detect optimal advertising-mix allocation changes as a function of their total advertising effort. The researchers demonstrated the use of the model by analyzing Belgian magazine and television data on 34 advertising campaigns for beauty-care brands. The goal is to help advertisers maximize desirable outcomes for campaign recognition and brand interest.
