IDEAS home Printed from https://ideas.repec.org/a/ags/ifaamr/8150.html

Consumer Attitudes towards Genetically Modified Foods in Emerging Markets: The Impact of Labeling in Taiwan

Author

Listed:
  • Ganiere, Pierre
  • Chern, Wen S.
  • Hahn, David E.
  • Chiang, Fu-Sung

Abstract

In 2001, Taiwan enacted a law for genetically modified food (GM foods) labeling. Beginning January 1st 2003, food containing more than 5% of GM ingredients must be labeled. Taiwan imports most of its soybeans from the United States. In order to assess the effects of the new policy, a telephone survey was conducted in 2002. A total of 257 interviews were completed. A typology of consumers' attitudes towards GM foods is constructed from the use of a multiple correspondence analysis and a classification method. Four profiles are identified: proponents, 52%, moderate opponents, 32.5%, extreme opponents, 12.5%, and those with no opinion, 5.5%.

Suggested Citation

  • Ganiere, Pierre & Chern, Wen S. & Hahn, David E. & Chiang, Fu-Sung, 2004. "Consumer Attitudes towards Genetically Modified Foods in Emerging Markets: The Impact of Labeling in Taiwan," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 7(3), pages 1-20.
    • Handle: RePEc:ags:ifaamr:8150
    DOI: 10.22004/ag.econ.8150
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/8150/files/0703ga01.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.8150?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. W. J. Florkowski & A. H. Elnagheeb & C. L. Huang, 1998. "Risk perception and new food production technologies," Applied Economics Letters, Taylor & Francis Journals, vol. 5(2), pages 69-73.
    2. Ganiere, Pierre & Chern, Wen S. & Hahn, David E., 2004. "Who Are Proponents And Opponents Of Genetically Modified Foods In The United States?," Working Papers 28315, Ohio State University, Department of Agricultural, Environmental and Development Economics.
    3. Rousu, Matthew & Huffman, Wallace & Shogren, Jason F. & Tegene, Abebayehu, 2002. "The Value of Verifiable Information in a Controversial Market: Evidence from Lab Auctions of Genetically Modified Food," ISU General Staff Papers 200201010800001245, Iowa State University, Department of Economics.
    4. Michael Greenacre, 2008. "Correspondence analysis of raw data," Economics Working Papers 1112, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2009.
    5. Hallman, William K. & Metcalfe, Jennifer, 1994. "Public Perceptions Of Agricultural Biotechnology: A Survey Of New Jersey Residents," Research Reports 18170, Rutgers University, Food Policy Institute.
    6. Michael Greenacre & Rafael Pardo, 2006. "Subset Correspondence Analysis," Sociological Methods & Research, , vol. 35(2), pages 193-218, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ziehl, Amanda & Thilmany, Dawn D. & Umberger, Wendy J., 2005. "A Cluster Analysis of Natural Beef Product Consumers by Shopping Behavior, Importance of Production Attributes, and Demographics," Journal of Food Distribution Research, Food Distribution Research Society, vol. 36(01), pages 1-9, March.
    2. Kleijnen, Mirella & Lee, Nick & Wetzels, Martin, 2009. "An exploration of consumer resistance to innovation and its antecedents," Journal of Economic Psychology, Elsevier, vol. 30(3), pages 344-357, June.
    3. Liao, Shuling & Chou, Cindy Yunhsin & Lin, Tzu-Han, 2015. "Adverse behavioral and relational consequences of service innovation failure," Journal of Business Research, Elsevier, vol. 68(4), pages 834-839.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ganiere, Pierre & Chern, Wen S. & Hahn, David E., 2004. "Who Are Proponents And Opponents Of Genetically Modified Foods In The United States?," Working Papers 28315, Ohio State University, Department of Agricultural, Environmental and Development Economics.
    2. Michael Greenacre & Paul Lewi, 2009. "Distributional Equivalence and Subcompositional Coherence in the Analysis of Compositional Data, Contingency Tables and Ratio-Scale Measurements," Journal of Classification, Springer;The Classification Society, vol. 26(1), pages 29-54, April.
    3. Julie Josse & Marie Chavent & Benot Liquet & François Husson, 2012. "Handling Missing Values with Regularized Iterative Multiple Correspondence Analysis," Journal of Classification, Springer;The Classification Society, vol. 29(1), pages 91-116, April.
    4. Svetlana Zhuchkova & Aleksei Rotmistrov, 2022. "How to choose an approach to handling missing categorical data: (un)expected findings from a simulated statistical experiment," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(1), pages 1-22, February.
    5. Eric Beh & Luigi D’Ambra, 2009. "Some Interpretative Tools for Non-Symmetrical Correspondence Analysis," Journal of Classification, Springer;The Classification Society, vol. 26(1), pages 55-76, April.
    6. Michael Greenacre, 2011. "A simple permutation test for clusteredness," Economics Working Papers 1271, Department of Economics and Business, Universitat Pompeu Fabra.
    7. David Bholat & Stephen Hans & Pedro Santos & Cheryl Schonhardt-Bailey, 2015. "Text mining for central banks," Handbooks, Centre for Central Banking Studies, Bank of England, number 33, April.
    8. Michael Greenacre, 2012. "Fuzzy coding in constrained ordinations," Economics Working Papers 1325, Department of Economics and Business, Universitat Pompeu Fabra.
    9. Mario F. Teisl & Julie A. Caswell, 2003. "Information Policy and Genetically Modified Food: Weighting the Benefits and Costs," QA - Rivista dell'Associazione Rossi-Doria, Associazione Rossi Doria, issue 4, March.
    10. Huffman, Wallace & Rousu, M. & Shogren, Jason F. & Tegene, Abebayehu, 1009. "Are U.S. Consumers Tolerant of GM Foods?," Staff General Research Papers Archive 12336, Iowa State University, Department of Economics.
    11. Xue, Hong & Mainville, Denise Y. & You, Wen & Nayga, Rodolfo M., Jr., 2009. "Nutrition Knowledge, Sensory Characteristics and Consumers’ Willingness to Pay for Pasture-Fed Beef," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49277, Agricultural and Applied Economics Association.
    12. Alfonso Gambardella & Walter Garcia Fontes, 1996. "European research funding and regional technological capabilities: Network composition analysis," Economics Working Papers 174, Department of Economics and Business, Universitat Pompeu Fabra.
    13. Paul Green & Jonathan Kim & Frank Carmone, 1990. "A preliminary study of optimal variable weighting in k-means clustering," Journal of Classification, Springer;The Classification Society, vol. 7(2), pages 271-285, September.
    14. Blasius, Jörg & Eilers, Paul H.C. & Gower, John, 2009. "Better biplots," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 3145-3158, June.
    15. Malcolm Dow & Peter Willett & Roderick McDonald & Belver Griffith & Michael Greenacre & Peter Bryant & Daniel Wartenberg & Ove Frank, 1987. "Book reviews," Journal of Classification, Springer;The Classification Society, vol. 4(2), pages 245-278, September.
    16. Rigby, Dan & Burton, Michael P., 2003. "Capturing Preference Heterogeneity in Stated Choice Models: A Random Parameter Logit Model of the Demand for GM Food," 2003 Conference (47th), February 12-14, 2003, Fremantle, Australia 58200, Australian Agricultural and Resource Economics Society.
    17. Vartan Choulakian, 1988. "Exploratory analysis of contingency tables by loglinear formulation and generalizations of correspondence analysis," Psychometrika, Springer;The Psychometric Society, vol. 53(2), pages 235-250, June.
    18. Vijesh V. Krishna & Matin Qaim, 2008. "Consumer Attitudes toward GM Food and Pesticide Residues in India," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 30(2), pages 233-251.
    19. W. Krzanowski & Gregory Cermak & Jan Leeuw & Fionn Murtagh & Peter Bryant & Bernard Monjardet & Chikio Hayashi, 1985. "Book reviews," Journal of Classification, Springer;The Classification Society, vol. 2(1), pages 277-299, December.
    20. François Bavaud, 2011. "On the Schoenberg Transformations in Data Analysis: Theory and Illustrations," Journal of Classification, Springer;The Classification Society, vol. 28(3), pages 297-314, October.

    More about this item

    Keywords

    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:ifaamr:8150. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/ifamaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.