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Potential market segments for genetically modified food: Results from cluster analysis

Author

Listed:
  • William Kaye-Blake

    (Agribusiness and Economics Research Unit, Lincoln University, Canterbury, New Zealand)

  • Anna O'Connell

    (Commerce Division, Lincoln University, Canterbury, New Zealand)

  • Charles Lamb

    (Commerce Division, Lincoln University, Canterbury, New Zealand)

Abstract

The commercial success of genetically modified (GM) food may be improved with appropriately targeted marketing. To that end, data from a survey of supermarket shoppers in New Zealand were analysed with a cluster analysis. A six-cluster solution found three clusters with positive intentions to purchase GM apples and three clusters with negative intentions. Positive intentions appeared to result from either price sensitivity or a desire to obtain a premium product. Negative intentions were especially strong in one cluster but appeared to be partially counteracted in two other clusters by offering respondents a specific benefit from gene technology. These results suggest that GM food may benefit from appropriate marketing to specific consumer segments. [EconLit classification: D120, M310]. © 2007 Wiley Periodicals, Inc. Agribusiness 23: 567-582, 2007.

Suggested Citation

  • William Kaye-Blake & Anna O'Connell & Charles Lamb, 2007. "Potential market segments for genetically modified food: Results from cluster analysis," Agribusiness, John Wiley & Sons, Ltd., vol. 23(4), pages 567-582.
  • Handle: RePEc:wly:agribz:v:23:y:2007:i:4:p:567-582
    DOI: 10.1002/agr.20134
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    References listed on IDEAS

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    4. Ian J. Bateman & Richard T. Carson & Brett Day & Michael Hanemann & Nick Hanley & Tannis Hett & Michael Jones-Lee & Graham Loomes, 2002. "Economic Valuation with Stated Preference Techniques," Books, Edward Elgar Publishing, number 2639.
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    Cited by:

    1. 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.
    2. Zhang, Xiaoyong & Huang, Jikun & Qiu, Huanguang & Huang, Zhurong, 2010. "A consumer segmentation study with regards to genetically modified food in urban China," Food Policy, Elsevier, vol. 35(5), pages 456-462, October.
    3. Nan Yang & Jill J. McCluskey & Michael P. Brady, 2012. "The Value of Good Neighbors: A Spatial Analysis of the California and Washington State Wine Industries," Land Economics, University of Wisconsin Press, vol. 88(4), pages 674-684.

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