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.
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.
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.
