IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i14p7759-d592621.html
   My bibliography  Save this article

Does Physical Activity Influence Consumer Acceptance of Gene Edited Food?

Author

Listed:
  • J. Ross Pruitt

    (Department of Agriculture, Geosciences, and Natural Resources, University of Tennessee at Martin, Martin, TN 38238, USA)

  • Kaitlyn M. Melton

    (Bedford-Moore Farmers Cooperative, Shelbyville, TN 37162, USA)

  • Marco A. Palma

    (Department of Agricultural Economics, Texas A&M University, College Station, TX 77843, USA)

Abstract

Consumer acceptance of new and emerging food production technologies is tied to their understanding of costs and benefits of the product. Advances in bioengineering not only provide direct nutritional benefits to the consumer, but also environmental benefits that improve sustainability. Improved consumer understanding of the benefits of innovative bioengineered food products can aid in the adoption process. We track participants’ physical activity level to determine whether this trait impacts willingness to pay for bioengineered foods. Additionally, we determine whether consumers are willing to pay a premium for gene edited food relative to genetically modified food. The results indicate that there is no link between physical activity and willingness to pay for genetically edited food. Additional results suggest that there is a premium among Asian and other respondents but not by gender.

Suggested Citation

  • J. Ross Pruitt & Kaitlyn M. Melton & Marco A. Palma, 2021. "Does Physical Activity Influence Consumer Acceptance of Gene Edited Food?," Sustainability, MDPI, vol. 13(14), pages 1-12, July.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:7759-:d:592621
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/14/7759/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/14/7759/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jayson L. Lusk & Jutta Roosen & Andrea Bieberstein, 2014. "Consumer Acceptance of New Food Technologies: Causes and Roots of Controversies," Annual Review of Resource Economics, Annual Reviews, vol. 6(1), pages 381-405, October.
    2. Stephan S. Marette & Anne-Célia Disdier & John C Beghin, 2020. "A Comparison of EU and US consumers' willingness to pay for gene-edited food: Evidence from apples," PSE Working Papers halshs-02872222, HAL.
    3. Claudia Bazzani & Marco A. Palma & Rodolfo M. Nayga, 2018. "On the use of flexible mixing distributions in WTP space: an induced value choice experiment," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(2), pages 185-198, April.
    4. Violet Muringai & Xiaoli Fan & Ellen Goddard, 2020. "Canadian consumer acceptance of gene‐edited versus genetically modified potatoes: A choice experiment approach," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 68(1), pages 47-63, March.
    5. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    6. Shew, Aaron M. & Nalley, Lawton L. & Danforth, Diana M. & Dixon, Bruce L. & Nayga, Rodolpho M. Jr & Delwaide, Anne-Cecile, 2015. "Are all GMO’s the same? Consumer acceptance of cisgenic rice in India," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 204869, Agricultural and Applied Economics Association.
    7. Loureiro, Maria L. & Hine, Susan, 2002. "Discovering Niche Markets: A Comparison of Consumer Willingness to Pay for Local (Colorado Grown), Organic, and GMO-Free Products," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 34(3), pages 477-487, December.
    8. Riccardo Scarpa & Mara Thiene & Kenneth Train, 2008. "Utility in Willingness to Pay Space: A Tool to Address Confounding Random Scale Effects in Destination Choice to the Alps," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(4), pages 994-1010.
    9. Riccardo Scarpa & Mara Thiene & Francesco Marangon, 2008. "Using Flexible Taste Distributions to Value Collective Reputation for Environmentally Friendly Production Methods," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 56(2), pages 145-162, June.
    10. Wilhelm Klümper & Matin Qaim, 2014. "A Meta-Analysis of the Impacts of Genetically Modified Crops," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-7, November.
    11. Costa-Font, Montserrat & Gil, Jose Maria, 2007. "Structural Equation Modelling of Consumer Acceptance of Genetically Modified Food (GM) in the Mediterranean Europe: Spain, Greece and Italy," 103rd Seminar, April 23-25, 2007, Barcelona, Spain 9415, European Association of Agricultural Economists.
    12. Scarpa, R. & Thiene, M. & Train, K., 2008. "Appendix to Utility in WTP space: a tool to address confounding random scale effects in destination choice to the Alps," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 90(4), pages 1-9, January.
    13. Lusk, Jayson L. & Parker, Natalie, 2009. "Consumer Preferences for Amount and Type of Fat in Ground Beef," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 41(1), pages 75-90, April.
    14. Stephan Marette & Anne-Célia Disdier & John Beghin, 2020. "A Comparison of EU and US consumers' willingness to pay for gene-edited food: Evidence from apples," PSE Working Papers halshs-02872222, HAL.
    15. Jayson L. Lusk & F. Bailey Norwood & J. Ross Pruitt, 2006. "Consumer Demand for a Ban on Antibiotic Drug Use in Pork Production," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(4), pages 1015-1033.
    16. Gregory Colson & Wallace E. Huffman, 2011. "Consumers' Willingness to Pay for Genetically Modified Foods with Product-Enhancing Nutritional Attributes," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(2), pages 358-363.
    17. Lusk, Jayson L. & Jamal, Mustafa & Kurlander, Lauren & Roucan, Maud & Taulman, Lesley, 2005. "A Meta-Analysis of Genetically Modified Food Valuation Studies," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 30(1), pages 1-17, April.
    18. Train, Kenneth, 2016. "Mixed logit with a flexible mixing distribution," Journal of choice modelling, Elsevier, vol. 19(C), pages 40-53.
    19. Lusk, Jayson L. & McFadden, Brandon R. & Wilson, Norbert, 2018. "Do consumers care how a genetically engineered food was created or who created it?," Food Policy, Elsevier, vol. 78(C), pages 81-90.
    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. Hu, Yang & House, Lisa A. & Gao, Zhifeng, 2022. "How do consumers respond to labels for crispr (gene-editing)?," Food Policy, Elsevier, vol. 112(C).
    2. John C. Beghin & Christopher R. Gustafson, 2021. "Consumer Valuation of and Attitudes towards Novel Foods Produced with New Plant Engineering Techniques: A Review," Sustainability, MDPI, vol. 13(20), pages 1-17, October.
    3. Deng, Shuyue & Adalja, Aaron A. & Liaukonyte, Jura, 2023. "Consumer Acceptance of CRISPR: Evidence from Incentive-Aligned Online Experiments," 2023 Annual Meeting, July 23-25, Washington D.C. 335499, Agricultural and Applied Economics Association.

    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. John C. Beghin & Christopher R. Gustafson, 2021. "Consumer Valuation of and Attitudes towards Novel Foods Produced with New Plant Engineering Techniques: A Review," Sustainability, MDPI, vol. 13(20), pages 1-17, October.
    2. Valerie Kilders & Vincenzina Caputo, 2021. "Is Animal Welfare Promoting Hornless Cattle? Assessing Consumer’s Valuation for Milk from Gene‐edited Cows under Different Information Regimes," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(3), pages 735-759, September.
    3. Paudel, Bindu & Kolady, Deepthi Elizabeth & Just, David R. & Van Der Sluis, Evert, 2021. "Determinants of consumer acceptance of genetically modified and gene-edited foods: Market and policy implications," 2021 Annual Meeting, August 1-3, Austin, Texas 313905, Agricultural and Applied Economics Association.
    4. Hu, Yang & House, Lisa A. & Gao, Zhifeng, 2022. "How do consumers respond to labels for crispr (gene-editing)?," Food Policy, Elsevier, vol. 112(C).
    5. Marco A. Palma & Myriah D. Johnson & David P. Anderson, 2019. "The effects of experience versus description of attributes on willingness‐to‐pay for beefsteaks," Agricultural Economics, International Association of Agricultural Economists, vol. 50(2), pages 129-137, March.
    6. Riccardo Scarpa & Cristiano Franceschinis & Mara Thiene, 2017. "A Monte Carlo Evaluation of the Logit-Mixed Logit under Asymmetry and Multimodality," Working Papers in Economics 17/23, University of Waikato.
    7. 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.
    8. Yan Heng & Sungeun Yoon & Lisa House, 2021. "Explore Consumers’ Willingness to Purchase Biotechnology Produced Fruit: An International Study," Sustainability, MDPI, vol. 13(22), pages 1-10, November.
    9. Stéphan Marette & John Beghin & Anne‐Célia Disdier & Eliza Mojduszka, 2023. "Can foods produced with new plant engineering techniques succeed in the marketplace? A case study of apples," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 45(1), pages 414-435, March.
    10. Adalja, Aaron & Hanson, James & Towe, Charles & Tselepidakis, Elina, 2015. "An Examination of Consumer Willingness to Pay for Local Products," Agricultural and Resource Economics Review, Cambridge University Press, vol. 44(3), pages 253-274, December.
    11. Götz, Linde & Svanidze, Miranda & Tissier, Alain & Brand Duran, Alejandro, 2022. "Consumers’ willingness to Buy CRISPR gene-edited tomatoes: Evidence from a choice experiment case study in Germany," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 14(2).
    12. Riccardo Scarpa & Cristiano Franceschinis & Mara Thiene, 2021. "Logit Mixed Logit Under Asymmetry and Multimodality of WTP: A Monte Carlo Evaluation," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(2), pages 643-662, March.
    13. West, Grant H. & Snell, Heather & Kovacs, Kent & Nayga, Rodolfo M., 2020. "Estimation of the preferences for the intertemporal services from groundwater," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304220, Agricultural and Applied Economics Association.
    14. Yang Yang & Jill E. Hobbs, 2020. "The Power of Stories: Narratives and Information Framing Effects in Science Communication," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(4), pages 1271-1296, August.
    15. Krueger, Rico & Rashidi, Taha H. & Vij, Akshay, 2020. "A Dirichlet process mixture model of discrete choice: Comparisons and a case study on preferences for shared automated vehicles," Journal of choice modelling, Elsevier, vol. 36(C).
    16. repec:ags:afjare:225657 is not listed on IDEAS
    17. William Greene & David Hensher, 2010. "Does scale heterogeneity across individuals matter? An empirical assessment of alternative logit models," Transportation, Springer, vol. 37(3), pages 413-428, May.
    18. Michela Faccioli & Laure Kuhfuss & Mikołaj Czajkowski, 2019. "Stated Preferences for Conservation Policies Under Uncertainty: Insights on the Effect of Individuals’ Risk Attitudes in the Environmental Domain," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(2), pages 627-659, June.
    19. Rico Krueger & Taha H. Rashidi & Akshay Vij, 2019. "Semi-Parametric Hierarchical Bayes Estimates of New Yorkers' Willingness to Pay for Features of Shared Automated Vehicle Services," Papers 1907.09639, arXiv.org.
    20. Gopalakrishnan, Raja & Guevara, C. Angelo & Ben-Akiva, Moshe, 2020. "Combining multiple imputation and control function methods to deal with missing data and endogeneity in discrete-choice models," Transportation Research Part B: Methodological, Elsevier, vol. 142(C), pages 45-57.
    21. Arne Hole & Julie Kolstad, 2012. "Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and WTP space using data from a health-related choice experiment," Empirical Economics, Springer, vol. 42(2), pages 445-469, April.

    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:gam:jsusta:v:13:y:2021:i:14:p:7759-:d:592621. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.