IDEAS home Printed from https://ideas.repec.org/a/ags/aieabj/146278.html
   My bibliography  Save this article

Factors Affecting the Adoption of Genetically Modified Animals in the Food and Pharmaceutical Chains

Author

Listed:
  • Mora, Cristina
  • Menozzi, Davide
  • Kleter, Gijs
  • Aramyan, Lusine H.
  • Valeeva, Natasha I.
  • Zimmermann, Karin L.
  • Pakki Reddy, Giddalury

Abstract

The production of genetically modified (GM) animals is an emerging technique that could potentially impact the livestock and pharmaceutical industries. Currently, food products derived from GM animals have not yet entered the market whilst two pharmaceutical products have. The objective of this paper is twofold: first it aims to explore the socio-economic drivers affecting the use of GM animals and, second, to review the risks and benefits from the point of view of the life sciences. A scoping study was conducted to assess research relevant to understanding the main drivers influencing the adoption of GM applications and their potential risks and benefits. Public and producers’ acceptance, public policies, human health, animal welfare, environmental impact and sustainability are considered as the main factors affecting the application of GM animal techniques in livestock and pharmaceutical chains.

Suggested Citation

  • Mora, Cristina & Menozzi, Davide & Kleter, Gijs & Aramyan, Lusine H. & Valeeva, Natasha I. & Zimmermann, Karin L. & Pakki Reddy, Giddalury, 2012. "Factors Affecting the Adoption of Genetically Modified Animals in the Food and Pharmaceutical Chains," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 1(3), pages 1-17, December.
  • Handle: RePEc:ags:aieabj:146278
    DOI: 10.22004/ag.econ.146278
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/146278/files/11706-22800-1-PB.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.146278?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. Kaneko, Naoya & Chern, Wen S., 2005. "Willingness to Pay for Genetically Modified Oil, Cornflakes, and Salmon: Evidence from a U.S. Telephone Survey," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 37(3), pages 701-719, December.
    2. Grimsrud, Kristine M. & McCluskey, Jill J. & Loureiro, Maria L. & Wahl, Thomas I., 2002. "Consumer Attitudes Towards Genetically Modified Foods In Norway," 2002 Annual meeting, July 28-31, Long Beach, CA 19818, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Novoselova, Tatiana A. & van der Lans, Ivo A.C.M. & Meuwissen, Miranda P.M. & Huirne, Ruud B.M., 2005. "Consumer Acceptance of GM Applications in the Pork Production Chain: A Choice Modelling Approach," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24527, European Association of Agricultural Economists.
    4. Kaneko, Naoya & Chern, Wen S., 2005. "Willingness to Pay for Genetically Modified Oil, Cornflakes, and Salmon: Evidence from a U.S. Telephone Survey," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 37(3), pages 1-19, December.
    5. Areal, Francisco J. & Riesgo, Laura & Gómez-Barbero, Manuel & Rodríguez-Cerezo, Emilio, 2012. "Consequences of a coexistence policy on the adoption of GMHT crops in the European Union," Food Policy, Elsevier, vol. 37(4), pages 401-411.
    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. Frewer, L.J. & Coles, D. & Dijkstra, A.M. & Kuznesof, S. & Kendall, H. & Kaptan, G, 2016. "Synthetic Biology Applied In The Agrifood Sector: Societal Priorities And Pitfalls," APSTRACT: Applied Studies in Agribusiness and Commerce, AGRIMBA, vol. 10(2-3), pages 1-8, October.
    2. Gülbanu Kaptan & Arnout R.H. Fischer & Lynn J. Frewer, 2018. "Extrapolating understanding of food risk perceptions to emerging food safety cases," Journal of Risk Research, Taylor & Francis Journals, vol. 21(8), pages 996-1018, August.
    3. Menozzi, Davide & Kostov, Kaloyan & Sogari, Giovanni & Arpaia, Salvatore & Moyankova, Daniela & Cristina Mora, 2017. "A stakeholder engagement approach for identifying future research directions in the evaluation of current and emerging applications of GMOs," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 6(1), May.
    4. Romano, Donato, 2012. "The Bio-based Economy: a New Development Model," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 1(3), pages 1-3, December.
    5. Mora, C. & Menozzi, Davide & Sogari, G. & Brennan, Margaret F. & Raley, M. & Frewer, L. J., 2013. "Biotechnology and Public opinion: The results of a citizens’ jury case study," 2013 Second Congress, June 6-7, 2013, Parma, Italy 149921, Italian Association of Agricultural and Applied Economics (AIEAA).

    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. Mora, Cristina & Menozzi, Davide & Aramyan, Lusine H. & Valeeva, Natasha I. & Pakky, R. & Zimmermann, Karin L., 2012. "Genetically modified animals in the food and pharmaceutical chains: economics, public perception and policy implications," 2012 First Congress, June 4-5, 2012, Trento, Italy 124121, Italian Association of Agricultural and Applied Economics (AIEAA).
    2. 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).
    3. Rodríguez, Elsa Mirta M. & Lacaze, María Victoria & Lupín, Beatriz, 2007. "Willingness to pay for organic food in Argentina: evidence from a consumer survey," Nülan. Deposited Documents 1300, Universidad Nacional de Mar del Plata, Facultad de Ciencias Económicas y Sociales, Centro de Documentación.
    4. 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.
    5. Wong, Jonathan & Raghunathan, Uthra & Escalante, Cesar & Wolfe, Kent, 2010. "Consumer Premiums for Environmentally Friendly Grass-Fed and Organic Milk in the Southeast," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 28(1).
    6. Carlos E. Carpio & Olga Isengildina-Massa, 2009. "Consumer willingness to pay for locally grown products: the case of South Carolina," Agribusiness, John Wiley & Sons, Ltd., vol. 25(3), pages 412-426.
    7. Kwamena Quagrainie, 2014. "Consumer Willingness-To-Pay For A Saline Fish Species Grown In The Us Midwest: The Case Of Striped Bass," Working Papers 14-6, Purdue University, College of Agriculture, Department of Agricultural Economics.
    8. Chern, Wen S., 2006. "Genetically Modified Organisms (GMOs) and Sustainability in Agriculture," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25463, International Association of Agricultural Economists.
    9. Gautam, Ruskin & Gustafson, Christopher R. & Brooks, Kathleen R., 2017. "Label Position and it Impacts on WTP for Products Containing GMO," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258105, Agricultural and Applied Economics Association.
    10. 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.
    11. Dannenberg, Astrid, 2008. "Is it Who You Ask or How You Ask? Findings of a Meta-Analysis on Genetically Modified Food Valuation Studies," ZEW Discussion Papers 08-096, ZEW - Leibniz Centre for European Economic Research.
    12. Deodhar, Satish Y. & Ganesh, Sankar & Chern, Wen S., 2008. "Emerging Markets for GM Foods: A Study of Consumer's Willingness to Pay in India," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6348, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    13. Donatella Baiardi & Riccardo Puglisi & Simona Scabrosetti, 2012. "Individual Attitudes on Food Quality and Safety: Empirical Evidence on EU Countries," DEM Working Papers Series 014, University of Pavia, Department of Economics and Management.
    14. Dannenberg, Astrid, 2009. "The dispersion and development of consumer preferences for genetically modified food -- A meta-analysis," Ecological Economics, Elsevier, vol. 68(8-9), pages 2182-2192, June.
    15. Deodhar, Satish Y. & Ganesh Sankar & Chern Wen S, 2007. "Emerging Markets for GM Foods: An Indian Perspective on Consumer Understanding and Willingness to Pay," IIMA Working Papers WP2007-06-08, Indian Institute of Management Ahmedabad, Research and Publication Department.
    16. Lusk, Jayson L. & Norwood, F. Bailey, 2006. "Social Desirability Bias in Willingness-to-Pay for Products with Normative Attributes," 2006 Annual meeting, July 23-26, Long Beach, CA 21428, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    17. Hopkins, Kelsey A. & McKendree, Melissa G. S. & Rice, Emma D., 2020. "Understanding the U.S. Publics’ Voting on Animal Welfare and Genetically Modified Organism Labeling Ballot Initiatives," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304519, Agricultural and Applied Economics Association.
    18. Chern, Wen S. & Chang, Chun-Yu, 2009. "Benefit Evaluation of the Country of Origin Labeling in Taiwan: Results from Auction Experiment," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49215, Agricultural and Applied Economics Association.
    19. Zheng, Qiujie & Nayga, Rodolfo M. Jr. & Yang, Wei & Tokunaga, Kanae, 2022. "Do U.S. consumers value genetically modified farmed salmon?," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322154, Agricultural and Applied Economics Association.
    20. Zhong, Funing & Chen, Xi, 2009. "How does biotech food labelling affect consumers’ purchasing preferences and the market? Evidence from urban China," MPRA Paper 14702, University Library of Munich, Germany.

    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:aieabj:146278. 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/aieaaea.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.