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Consumer beliefs and attitude towards genetically modified food: Basis for segmentation and implications for communication

Author

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  • Annelies Verdurme

    (Ghent University, Gent, Belgium. E-mail: Annelies.Verdurme@rug.ac.be)

  • Jacques Viaene

    (Ghent University, Gent, Belgium. E-mail: Jacques.Viaene@rug.ac.be)

Abstract

Results from a consumer survey comprising 400 face-to-face interviews with Flemish consumers (Belgium), which was conducted in the summer of 2000, reveal four consumer segments based on beliefs and attitude towards genetically modified (GM) food, namely: the Halfhearted, the Green Opponents, the Balancers, and the Enthusiasts. While 23.5% of the respondents have positive attitudes (the Enthusiasts) towards GM food, 15.5% are reluctant (the Green Opponents). The other 61.0% of the respondents have rather neutral (the Balancers) to slightly negative (the Halfhearted) attitudes towards GM food. Each of these identified segments can be further profiled in terms of socio-economic and demographic characteristics, knowledge, general attitudes including trust, information needs, consulted and trusted information sources and channels, and purchase intentions. These insights will provide the necessary input for the development of an effective segmented communication strategy. [EconLit citations: Q130, Q160, Q180.] © 2003 Wiley Periodicals, Inc. Agribusiness 19: 91-113, 2003.

Suggested Citation

  • Annelies Verdurme & Jacques Viaene, 2003. "Consumer beliefs and attitude towards genetically modified food: Basis for segmentation and implications for communication," Agribusiness, John Wiley & Sons, Ltd., vol. 19(1), pages 91-113.
  • Handle: RePEc:wly:agribz:v:19:y:2003:i:1:p:91-113
    DOI: 10.1002/agr.10045
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    2. Piotr Rzymski & Aleksandra Królczyk, 2016. "Attitudes toward genetically modified organisms in Poland: to GMO or not to GMO?," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 8(3), pages 689-697, June.
    3. Chuanhui Liao & Xiaomei Zhou & Dingtao Zhao, 2018. "An Augmented Risk Information Seeking Model: Perceived Food Safety Risk Related to Food Recalls," IJERPH, MDPI, vol. 15(9), pages 1-17, August.
    4. Katarzyna Zagórska & Mikołaj Czajkowski & Nick Hanley, 2022. "“GMO – Doesn’t Have To Go!” – Consumers’ Preferences Towards Genetically Modified Products Labelling and Sale," Working Papers 2022-07, Faculty of Economic Sciences, University of Warsaw.
    5. Takashi Ishida & Atsushi Maruyama & Shinichi Kurihara, 2022. "Risk Communication under Conflicting Information: The Role of Confidence in Subjective Risk Assessment," Journal of Food Research, Canadian Center of Science and Education, vol. 11(1), pages 1-1, January.
    6. Elena Laborda & Felipe Del-Busto & Carmen Bartolomé & Víctor Fernández, 2023. "Analysing the Social Acceptance of Bio-Based Products Made from Recycled Absorbent Hygiene Products in Europe," Sustainability, MDPI, vol. 15(4), pages 1-38, February.
    7. Simon Chege Kimenju & Hugo De Groote, 2008. "Consumer willingness to pay for genetically modified food in Kenya," Agricultural Economics, International Association of Agricultural Economists, vol. 38(1), pages 35-46, January.
    8. Caputo, Vincenzina & Scarpa, Riccardo & Nayga, Rodolfo M. & Ortega, David L., 2018. "Are preferences for food quality attributes really normally distributed? An analysis using flexible mixing distributions," Journal of choice modelling, Elsevier, vol. 28(C), pages 10-27.
    9. Liu, Pengcheng, 2009. "Consumers’ WTA for GM rice cookie: an experiment study in China," 2009 Conference, August 16-22, 2009, Beijing, China 51771, International Association of Agricultural Economists.
    10. Sevtap ÜNAL & F. Görgün DEVECİ & Tuğba YILDIZ, 2019. "The main aim of this study is determining which consumption motives and personal and social factors affect organic food buying decisions. Ajzen’s Planned Behavior Theory (TPB) is used to explain consu," Istanbul Business Research, Istanbul University Business School, vol. 48(1), pages 1-35, May.
    11. Tuncay Turan TARABOĞLU & Tuğba Nur TOPALOĞLU & Serdar YAMAN, 2019. "The Effects of Macroeconomic Indicators on Leveraged Forex Volume: Evidence from Turkey," Istanbul Business Research, Istanbul University Business School, vol. 48(2), pages 160-175, November.
    12. Mingyang Zhang & Chao Chen & Wuyang Hu & Lijun Chen & Jintao Zhan, 2016. "Influence of Source Credibility on Consumer Acceptance of Genetically Modified Foods in China," Sustainability, MDPI, vol. 8(9), pages 1-16, September.
    13. Mutenje, M.J. & Ortmann, G.F. & Ferrer, S.R.D., 2011. "Management of non-timber forestry products extraction: Local institutions, ecological knowledge and market structure in South-Eastern Zimbabwe," Ecological Economics, Elsevier, vol. 70(3), pages 454-461, January.

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