IDEAS home Printed from https://ideas.repec.org/p/ags/aaea06/21303.html
   My bibliography  Save this paper

Willingness to pay for genetically modified food and non-food products

Author

Listed:
  • Christoph, Inken B.
  • Roosen, Jutta
  • Bruhn, Maike

Abstract

This paper presents estimates of consumers' willingness to pay for a GM food and non-food product based on data collected in a choice experiment. The choice experiment was part of a survey of 1510 randomly selected consumers in Germany that was mailed in spring 2005. Attitudes towards gene technology, institutions and technical progress were measured using 22 items. A factor analysis revealed five factors describing consumer attitudes: support, risk, trust, attitude towards technical progress and attitude towards technical innovation. Based on these factors we identify four different classes of consumers in a latent class model for both products. Analysis of these classes shows strong differences between willingness to pay estimates for benefits compared to risk reduction as well as differences between the classes.

Suggested Citation

  • Christoph, Inken B. & Roosen, Jutta & Bruhn, Maike, 2006. "Willingness to pay for genetically modified food and non-food products," 2006 Annual meeting, July 23-26, Long Beach, CA 21303, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea06:21303
    DOI: 10.22004/ag.econ.21303
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/21303/files/sp06ch11.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.21303?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. Noussair, C. & Robin, S. & Ruffieux, B., 2001. "Genetically Modified Organisms in the Food Supply: Public Opinion vs. Consumer Behavior," Purdue University Economics Working Papers 1139, Purdue University, Department of Economics.
    2. Henry Kaiser, 1970. "A second generation little jiffy," Psychometrika, Springer;The Psychometric Society, vol. 35(4), pages 401-415, December.
    3. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
    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. Zapilko, Marina & Klein, Agnes & Menrad, Klaus, 2009. "Preference Heterogeneity Among German Consumers Regarding Gm Rapeseed-Oil," Conference Papers 91302, University of Weihenstephan-Triesdorf, Straubing Centre of Science.
    2. Yulian Ding & Michele M. Veeman & Wiktor L. Adamowicz, 2012. "The influence of attribute cutoffs on consumers' choices of a functional food," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 39(5), pages 745-769, December.
    3. Eunae Son & Song Soo Lim, 2021. "Consumer Acceptance of Gene-Edited versus Genetically Modified Foods in Korea," IJERPH, MDPI, vol. 18(7), pages 1-17, April.

    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. Canessa, Carolin & Venus, Terese E. & Wiesmeier, Miriam & Mennig, Philipp & Sauer, Johannes, 2023. "Incentives, Rewards or Both in Payments for Ecosystem Services: Drawing a Link Between Farmers' Preferences and Biodiversity Levels," Ecological Economics, Elsevier, vol. 213(C).
    2. Kruse, Tobias & Atkinson, Giles, 2022. "Understanding public support for international climate adaptation payments: Evidence from a choice experiment," Ecological Economics, Elsevier, vol. 194(C).
    3. Andrea C Vial & Janine Bosak & Patrick C Flood & John F Dovidio, 2021. "Individual variation in role construal predicts responses to third-party biases in hiring contexts," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-28, February.
    4. Kontoleon Andreas & Yabe Mitsuyasu, 2006. "Market Segmentation Analysis of Preferences for GM Derived Animal Foods in the UK," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 4(1), pages 1-38, December.
    5. Boyce, Christopher & Czajkowski, Mikołaj & Hanley, Nick, 2019. "Personality and economic choices," Journal of Environmental Economics and Management, Elsevier, vol. 94(C), pages 82-100.
    6. Siwarit Pongsakornrungsilp & Pimlapas Pongsakornrungsilp & Theeranuch Pusaksrikit & Pimmada Wichasin & Vikas Kumar, 2021. "Co-Creating a Sustainable Regional Brand from Multiple Sub-Brands: The Andaman Tourism Cluster of Thailand," Sustainability, MDPI, vol. 13(16), pages 1-23, August.
    7. Lai, John & Olynk Widmar, Nicole J. & Gunderson, Michael A. & Widmar, David A. & Ortega, David L., 2018. "Prioritization of farm success factors by commercial farm managers," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 21(6), July.
    8. Stephen Hynes & Nick Hanley & Cathal O’Donoghue, 2006. "Using Continuous and Finite Mixture Models to Account for Preference Heterogeneity in a group of Outdoor Recreationalists," Working Papers 0602, Rural Economy and Development Programme,Teagasc.
    9. Bangyi Yan & Shiguang Ni & Xi Wang & Jin Liu & Qianjing Zhang & Kaiping Peng, 2020. "Using Virtual Reality to Validate the Chinese Version of the Independent Television Commission-Sense of Presence Inventory," SAGE Open, , vol. 10(2), pages 21582440209, May.
    10. Illichmann, R. & Abdulai, A., 2014. "Analysis of Consumer Preferences and Wilingness-To-Pay for Organic Food Products in Germany," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 49, March.
    11. Chetan Doddamani & M. Manoj, 2023. "Analysis of the influences of built environment measures on household car and motorcycle ownership decisions in Hubli-Dharwad cities," Transportation, Springer, vol. 50(1), pages 205-243, February.
    12. Rakotonarivo, O. Sarobidy & Bredahl Jacobsen, Jette & Poudyal, Mahesh & Rasoamanana, Alexandra & Hockley, Neal, 2018. "Estimating welfare impacts where property rights are contested: methodological and policy implications," Land Use Policy, Elsevier, vol. 70(C), pages 71-83.
    13. D Rigby & M Burton, 2003. "Capturing Preference Heterogeneity in Stated Choice Models: A Random Parameter Logit Model of the Demand for GM Food," Economics Discussion Paper Series 0319, Economics, The University of Manchester.
    14. Marcin Chlebus, 2014. "One-day prediction of state of turbulence for financial instrument based on models for binary dependent variable," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 37.
    15. Andy Choi & Franco Papandrea & Jeff Bennett, 2007. "Assessing cultural values: developing an attitudinal scale," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 31(4), pages 311-335, December.
    16. Faheem Ahmed & Luiz Fernando Capretz, 2011. "A business maturity model of software product line engineering," Information Systems Frontiers, Springer, vol. 13(4), pages 543-560, September.
    17. Pfarr, Christian & Schmid, Andreas, 2013. "The political economics of social health insurance: the tricky case of individuals’ preferences," MPRA Paper 44534, University Library of Munich, Germany.
    18. Alexandros Dimitropoulos, 2014. "The Influence of Environmental Concerns on Drivers’ Preferences for Electric Cars," Tinbergen Institute Discussion Papers 14-128/VIII, Tinbergen Institute.
    19. Charity, Nabwire Ephamia Juma, 2016. "Economic Analysis Of Consumers’ Awareness And Willingness To Pay For Geographical Indicators And Other Quality Attributes Of Honey In Kenya," Research Theses 265574, Collaborative Masters Program in Agricultural and Applied Economics.
    20. Libin Yang & William Rea & Alethea Rea, 2015. "How much diversification potential is there in a single market? Evidence from the Australian Stock Exchange," Working Papers in Economics 15/07, University of Canterbury, Department of Economics and Finance.

    More about this item

    Keywords

    Consumer/Household Economics;

    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:aaea06:21303. 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/aaeaaea.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.