USA: Economic Research Service, U.S Department of Agriculture, Washington, D.C.
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 30 Document Number: D10576
Notes:
37 pages., ERS staff report - No. AGEX831007. Also available online from Hathi Trust Digital Library., via library catalog., Food manufacturers spent $7 billion in advertising in 1997. Most of
this advertising focused on highly processed and highly packaged
foodswhich also tend to be the foods consumed in large quantities
in the United States relative to Federal dietary recommendations
such as the Dietary Guidelines for Americans. Advertising expenditures on meat, fruits, and vegetables are negligible. In contrast, the
U.S. Department of Agriculture spent $333.3 million on nutrition
education, evaluation, and demonstrations. This is approximately
what the food industry spent on advertising just for coffee, tea, and
cocoa, or for snacks and nuts; slightly more than half (60 percent)
the amount spent on advertising for carbonated soft drinks, and less
than half the amount spent promoting beer, or candy and gum, or
breakfast cereals.
Hassan, Siti Hasnah (author), Dann, Stephen (author), Kamal, K.A.M. (author), and De Run, Ernest Cyril (author)
Format:
Book chapter
Publication Date:
2009
Published:
Malaysia
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Document Number: C29805
Notes:
Pages 243-261 in Adam Lindgreen and Martin K. Hingley (eds.), The new cultures of food: marketing opportunities from ethnic, religious and cultural diversity. Gower Publishing Limited, Surrey, England. 319 pages.
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.
