Hostname: page-component-5c6d5d7d68-wtssw Total loading time: 0 Render date: 2024-08-22T06:19:08.589Z Has data issue: false hasContentIssue false

Japanese Consumers' Perceptions on and Willingness to Pay for Credence Attributes Associated with Canola Oil

Published online by Cambridge University Press:  28 April 2015

Wuyang Hu
Affiliation:
Department of Resource Economics, University of Nevada, Reno
Kevin Chen
Affiliation:
Department of Rural Economy, University of Alberta, Canada
Kentaro Yoshida
Affiliation:
Institute of Policy and Planning Sciences, University of Tsukuba, Japan

Abstract

In this study we found that Japanese consumers value the conventional health claim “low in saturated fat” more than the relatively newer claims, such as “high in oleic acid.” In addition, consumers do not prefer oil with genetically modified ingredients or oil that is not domestically produced, but they are willing to pay extra for “organic” or “functional food” features. We also found that the scope and source of information on these credence attributes may also affect consumers' choices and willingness to pay and that the effects may not be completely consistent with what one would expect.

Type
Articles
Copyright
Copyright © Southern Agricultural Economics Association 2006

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Antle, J.M.Economic Analysis of Food Safety.” Discussion Paper No. 20, Trade Research Center, Montana State University, 1998.Google Scholar
Bhat, C.A Heteroscedastic Extreme Value Model of Intercity Travel Mode Choice.Transportation Research B 29(1995):471-83.CrossRefGoogle Scholar
Bradley, M., and Daly, A.J.. “Use of Logit Scaling Approach to Test Rank Order and Fatigue Effects in the Stated Preference Data.Transportation 21(1994): 167-84.CrossRefGoogle Scholar
Caswell, J.Labeling Policy for GMOs: To Each His Own?AgBioForum 3(2000):53-7.Google Scholar
Chen, K.Z., Shi, M., and Akune, Y.. “Changing Structures and Strategies in Japan's Oilseed Crushing Industry: Implications for Canola Oil Exports to Japan.” Working Paper, Institute of Agriculture and Forestry, University of Tsukuba, 2004.Google Scholar
Curtis, K.R., McCluskey, J.J., and Wahl, T.I.. “Consumer Acceptance of Genetically Modified Food Products in the Developing World.AgBioForum 7(2004):70-5.Google Scholar
Hausman, J.A., and McFadden, D.. “Specification Tests for the Multinomial Logit Model.Econometrica 52(1984):1219-40.CrossRefGoogle Scholar
Hori, K., Shepard, M., and Mutou, S. (2003) “Japanese Consumer Attitudes toward US Foods: A Marketing Research Report.” California Agricultural Export Council. Internet site: http://www.miatco.org/us_food/linksJnfo/japaneseattitudes.pdf (Accessed June 2, 2005).Google Scholar
Hu, W, Huennemeyer, A., Veeman, M.M., Adamowicz, W.L., and Srivastava, L.. “Trading Off Health, Environmental and Genetic Modification Attributes in Foods.European Review of Agricultural Economics 31(2004):389-08.CrossRefGoogle Scholar
Hu, W., Veeman, M.M., and Adamowicz, W.L.. “Labeling Genetically Modified Food: Heterogeneous Consumer Preference and the Value of Information.Canadian Journal of Agricultural Economics 53(2005):8392.CrossRefGoogle Scholar
Krinsky, I., and Robb, A.. “On Approximating the Statistical Properties of Elasticities.Review of Economics and Statistics 68(1986):715-9.CrossRefGoogle Scholar
Li, Q., Curtis, K.R., McCluskey, J.J., and Wahl, T.I.. “Consumer Attitudes Toward Genetically Modified Foods in Beijing, China.Agbioforum 5(2002): 145-52.Google Scholar
List, J.A.Preference Reversals of a Different Kind: The More is Less Phenomenon.American Economic Review 92(2002): 1636-43.CrossRefGoogle Scholar
Louviere, J.J., Henser, D., and Swait, J.. Stated Choice Methods: Analysis and Applications. Cambridge University Press, 2000.CrossRefGoogle Scholar
Lusk, J.L., Jamal, M., Kurlander, L., Roucan, M., and Taulman, L.. “A Meta Analysis of Genetically Modified Food Valuation Studies.Journal of Agricultural and Resource Economics 30(2005):2845.Google Scholar
McCluskey, J.J., Grimsrud, K.M., Ouchi, H., and Wahl, T.I.. “Consumer Response to Genetically Modified Food Products in Japan.Agricultural and Resource Economics Review 32(2003):222-31.CrossRefGoogle Scholar
McFadden, D.Economic Choices.American Economic Review 91(2001):351-78.CrossRefGoogle Scholar
Mizerski, R.An Attribution Explanation of the Disproportionate Influence of Unfavorable Information.Journal of Consumer Research 9(1982):301-10.CrossRefGoogle Scholar
Noussair, C., Robin, S., and Ruffieux, B.. “Do Consumers Really Refuse to Buy Genetically Modified Food?The Economic Journal 114(2004): 102-20.CrossRefGoogle Scholar
Richards, R.GM Canola-Market Implications and Coexistence. Research Update, Australian Oilseeds Federation. Internet site: http://www. grdc.com.au/growers/res-upd/south/04/richards.htm (Accessed January 19, 2004).Google Scholar
Roe, B., and Teisl, M.. “The Effect of Information Regulations in Markets with Consumption Externalities: Empirical Evidence for Genetically Engineered Foods.” Paper presented at the AAEA Annual Meeting, Denver, August 1-4, 2004.Google Scholar
Roe, B., Hwang, Y., and Teisl, M.. An Empirical Analysis of U.S. Consumers' Concerns about Eight Food Production and Processing Technologies. United States Department of Agriculture, 2004.Google Scholar
Roosen, J., Lusk, J., and Fox, J.A.. “Consumer Demand for and Attitudes Toward Alternative Beef Labeling Strategies in France, Germany, and the UK.Agribusiness 19(2003):7790.CrossRefGoogle Scholar
Rousu, M., Huffman, W., Shogren, J.F., and Tegene, A.. “The Value of Verifiable Information in a Controversial Market: Evidence from Lab Auctions of Genetically Modified Food.” Working Paper, Department of Economics, Iowa State University, 2002.Google Scholar
Stroppiana, R., and Riethmuller, P.. “Factors Influencing Food Demand: Survey Evidence from Japan.” Working Paper, Department of Economics, the University of Queensland, 2000.Google Scholar
Swait, J., and Adamowicz, W.. “Choice Complexity and Decision Strategy Selection.Journal of Consumer Research 28(2001):135-48.CrossRefGoogle Scholar
Urban, G.L.Digital Marketing Strategy: Text and Cases. Upper Saddle River, NJ: Prentice Hall Publisher, 2003.Google Scholar
Wohl, J.B.Consumers' Decision-Making and Risk Perceptions Regarding Foods Produced with Biotechnology.Journal of Consumer Policy 21(1998):387-04.CrossRefGoogle Scholar