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Objective And Subjective Knowledge: Impacts On Consumer Demand For Genetically Modified Foods In The United States And The European Union


  • House, Lisa
  • Lusk, Jayson L.
  • Jaeger, Sara
  • Traill, W. Bruce
  • Moore, Melissa
  • Valli, Carlotta
  • Morrow, Bert
  • Yee, Wallace M.S.


In the growing body of literature on consumer acceptance of genetically modified (GM) foods, there are significant differences on the impact of knowledge on acceptance of GM foods. One potential explanation is the manner in which knowledge is measured. The goal of this study is to differentiate and examine the impact of both subjective and objective knowledge related to acceptance of genetically modified foods. Data from surveys collected in the United States, England, and France is used.

Suggested Citation

  • House, Lisa & Lusk, Jayson L. & Jaeger, Sara & Traill, W. Bruce & Moore, Melissa & Valli, Carlotta & Morrow, Bert & Yee, Wallace M.S., 2004. "Objective And Subjective Knowledge: Impacts On Consumer Demand For Genetically Modified Foods In The United States And The European Union," 2004 Annual meeting, August 1-4, Denver, CO 20125, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea04:20125
    DOI: 10.22004/ag.econ.20125

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    References listed on IDEAS

    1. Park, C Whan & Lessig, V Parker, 1981. " Familiarity and Its Impact on Consumer Decision Biases and Heuristics," Journal of Consumer Research, Oxford University Press, vol. 8(2), pages 223-230, September.
    2. Flynn, Leisa Reinecke & Goldsmith, Ronald E., 1999. "A Short, Reliable Measure of Subjective Knowledge," Journal of Business Research, Elsevier, vol. 46(1), pages 57-66, September.
    3. Alba, Joseph W & Hutchinson, J Wesley, 2000. " Knowledge Calibration: What Consumers Know and What They Think They Know," Journal of Consumer Research, Oxford University Press, vol. 27(2), pages 123-156, September.
    4. Brucks, Merrie, 1985. " The Effects of Product Class Knowledge on Information Search Behavior," Journal of Consumer Research, Oxford University Press, vol. 12(1), pages 1-16, June.
    5. Nicholas Perdikis & William A. Kerr Shelburne & Jill E. Hobbs, 2001. "Reforming the WTO to Defuse Potential Trade Conflicts in Genetically Modified Goods," The World Economy, Wiley Blackwell, vol. 24(3), pages 379-398, March.
    6. Park, C Whan & Mothersbaugh, David L & Feick, Lawrence, 1994. " Consumer Knowledge Assessment," Journal of Consumer Research, Oxford University Press, vol. 21(1), pages 71-82, June.
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    Cited by:

    1. Xie, Jing & Hyeyoung, Kim & House, Lisa, 2014. "Valuing Information on GM Foods in the presence of Country-of-Origin Labels," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 4(3), pages 1-14, February.
    2. Sarah Wheeler, 2009. "Exploring the influences on Australian agricultural professionals’ genetic engineering beliefs: an empirical analysis," The Journal of Technology Transfer, Springer, vol. 34(4), pages 422-439, August.
    3. Martinez-Poveda, Africa & Molla-Bauza, Margarita Brugarolas & Martinez, Laura Martinez-Carrasco & Gomis, Francisco Jose Del Campo, 2005. "Effect of the Information on the Intention of GM Food Consumption," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24616, European Association of Agricultural Economists.
    4. Rousselière, Damien & Rousselière, Samira, 2010. "On the impact of trust on consumer willingness to purchase GM food:Evidence from a European survey," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 91(1).
    5. repec:spr:endesu:v:20:y:2018:i:1:d:10.1007_s10668-016-9879-3 is not listed on IDEAS
    6. repec:bla:jageco:v:69:y:2018:i:3:p:705-725 is not listed on IDEAS
    7. Florence Kondylis & Valerie Mueller & S. Zhu, 2015. "Measuring agricultural knowledge and adoption," Agricultural Economics, International Association of Agricultural Economists, vol. 46(3), pages 449-462, May.
    8. Simone Carr-Cornish & Lygia Romanach, 2014. "Differences in Public Perceptions of Geothermal Energy Technology in Australia," Energies, MDPI, Open Access Journal, vol. 7(3), pages 1-21, March.
    9. Henseleit, Meike & Kubitzki, Sabine, 2009. "‘GMO-Free’ Labels – Enhancing Transparency or Deceiving Consumers?," 2009 Conference, August 16-22, 2009, Beijing, China 51029, International Association of Agricultural Economists.
    10. Salazar-Ordóñez, M. & Rodríguez-Entrena, M. & Becerra-Alonso, D., 2014. "Willingness to purchase Genetically Modified food: an analysis applying artificial Neural Networks," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182940, European Association of Agricultural Economists.
    11. Kim, Hyeyoung & House, Lisa A., 2014. "Linking Consumer Health Perceptions to Consumption of Nonalcoholic Beverages," Agricultural and Resource Economics Review, Cambridge University Press, vol. 43(01), pages 1-16, April.
    12. Kaneko, Naoya & Chern, Wen S., 2006. "Identification of Consumer Segments and Its Implication on the Willingness-to-Pay Distribution: The Case of Demand for Non-Genetically Modified Vegetable Oil in the United States," 2006 Annual meeting, July 23-26, Long Beach, CA 21194, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    13. Martinez-Poveda, Africa & Molla-Bauza, Margarita Brugarolas & del Campo Gomis, Francisco Jose & Martinez, Laura Martinez-Carrasco, 2009. "Consumer-perceived risk model for the introduction of genetically modified food in Spain," Food Policy, Elsevier, vol. 34(6), pages 519-528, December.
    14. Kim, Hyeyoung & House, Lisa, 2013. "Comparing Perceptions of Biotechnology in Fresh versus Processed Foods: A Cross-Cultural Study," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149733, Agricultural and Applied Economics Association.
    15. Jin, Hyun Joung & Han, Dae Hee, 2014. "Interaction between message framing and consumers’ prior subjective knowledge regarding food safety issues," Food Policy, Elsevier, vol. 44(C), pages 95-102.
    16. Rodríguez-Entrena, Macario & Salazar-Ordóñez, Melania & Sayadi, Samir, 2013. "Applying partial least squares to model genetically modified food purchase intentions in southern Spain consumers," Food Policy, Elsevier, vol. 40(C), pages 44-53.
    17. repec:ags:gewipr:260130 is not listed on IDEAS
    18. Costa-Font, Montserrat & Gil, José M. & Traill, W. Bruce, 2008. "Consumer acceptance, valuation of and attitudes towards genetically modified food: Review and implications for food policy," Food Policy, Elsevier, vol. 33(2), pages 99-111, April.
    19. repec:gam:jsusta:v:10:y:2018:i:9:p:3109-:d:166862 is not listed on IDEAS
    20. Kondylis, Florence & Mueller, Valerie & Sheriff, Glenn & Zhu, Siyao, 2016. "Do Female Instructors Reduce Gender Bias in Diffusion of Sustainable Land Management Techniques? Experimental Evidence From Mozambique," World Development, Elsevier, vol. 78(C), pages 436-449.
    21. Chern, Wen S. & Kaneko, Naoya, 2007. "Some Problems in Estimating Willingness to Pay with Contingent Valuation Surveys: Case for Consumer Acceptance of Genetically Modified Food," 2007 Annual Meeting, February 4-7, 2007, Mobile, Alabama 34852, Southern Agricultural Economics Association.
    22. Marina Zapilko & Sandra Feigl & Klaus Menrad & Tobias Hirzinger, 2009. "Economic Consequences of GMO Traceability in the EU Food and Feed Industry," Journal of Socio-Economics in Agriculture (Until 2015: Yearbook of Socioeconomics in Agriculture), Swiss Society for Agricultural Economics and Rural Sociology, vol. 2(1), pages 81-112.


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