IDEAS home Printed from https://ideas.repec.org/p/ags/aare11/100540.html
   My bibliography  Save this paper

Modeling the Impact of New Information on Consumer Preferences for Specialty Meat Products

Author

Listed:
  • Wang, Xi
  • Curtis, Kynda R.
  • Moeltner, Klaus

Abstract

As the demand for organic and natural food grows in the U.S., studies show that consumers would and do pay more for these foods than their traditional counterparts. However, the question remains as to whether consumers really understand the differences between organic and natural products versus common products. The USDA provides an official definition of organic, but there is no official definition or certification for natural products. The general lack of knowledge among consumers concerning organic and natural products can be misleading and hence, there is a need for a better understanding of how consumer pre-existing knowledge and new information regarding organic and natural products influences consumer purchasing behavior. In this study, we research the effect of providing consumers with information regarding organic and natural production processes in four separate stages on their willingness to pay (WTP) for various natural/organic meat products. Through the use of survey data collected in-person during the fall of 2007 Nevada, in which 597 surveys were completed, we examine the impact of consumer perceived knowledge of organic and natural grass-fed production processes on their WTP, whether or not new information/knowledge will modify their WTP, and the degree of modification across meat types and cuts. Meats examined vary from high-end to low-end cuts and across various meat types, such as pork and beef. The modeling will include a multinomial probit model to measure WTP and also consider the modeling issues that arise when updated preferences are included. The results of this study will be important for researchers looking to model updated consumer preferences. The purpose of our research is twofold. First, we wish to observe whether or not advertising and other promotional methods truly influence consumer demand and willingness to pay for these specialty meat products. These results will likely be important to the role of marketing and the way in which information is provided to consumers on organic and natural production methods and the potential positive effects of those methods. Additionally, the paper will show how consumers purchasing experiences and pre-existing knowledge might influence their reaction to the same information.

Suggested Citation

  • Wang, Xi & Curtis, Kynda R. & Moeltner, Klaus, 2011. "Modeling the Impact of New Information on Consumer Preferences for Specialty Meat Products," 2011 Conference (55th), February 8-11, 2011, Melbourne, Australia 100540, Australian Agricultural and Resource Economics Society.
  • Handle: RePEc:ags:aare11:100540
    DOI: 10.22004/ag.econ.100540
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/100540/files/Curtis%20K.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.100540?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. Anna Alberini & Paolo Rosato & Alberto Longo & Valentina Zanatta, 2005. "Information and Willingness to Pay in a Contingent Valuation Study: The Value of S. Erasmo in the Lagoon of Venice," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 48(2), pages 155-175.
    2. Robert Berrens, 2000. "Reluctant respondents and contingent valuation surveys," Applied Economics Letters, Taylor & Francis Journals, vol. 7(4), pages 263-266.
    3. Bergstrom, John C. & Dillman, B. L. & Stoll, John R., 1985. "Public Environmental Amenity Benefits of Private Land: The Case of Prime Agricultural Land," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 17(1), pages 139-149, July.
    4. John C. Bergstrom & John R. Stoll & Alan Randall, 1990. "The Impact of Information on Environmental Commodity Valuation Decisions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(3), pages 614-621.
    5. Cameron, Trudy Ann & Englin, Jeffrey, 1997. "Respondent Experience and Contingent Valuation of Environmental Goods," Journal of Environmental Economics and Management, Elsevier, vol. 33(3), pages 296-313, July.
    6. Jayson L. Lusk, 2003. "Effects of Cheap Talk on Consumer Willingness-to-Pay for Golden Rice," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 840-856.
    7. Kevin J. Boyle, 1989. "Commodity Specification and the Framing of Contingent-Valuation Questions," Land Economics, University of Wisconsin Press, vol. 65(1), pages 57-63.
    8. Lusk,Jayson L. & Shogren,Jason F., 2007. "Experimental Auctions," Cambridge Books, Cambridge University Press, number 9780521671248, October.
    9. Berrens, Robert P. & Bohara, Alok K. & Jenkins-Smith, Hank C. & Silva, Carol L. & Weimer, David L., 2004. "Information and effort in contingent valuation surveys: application to global climate change using national internet samples," Journal of Environmental Economics and Management, Elsevier, vol. 47(2), pages 331-363, March.
    10. Ajzen, Icek & Brown, Thomas C. & Rosenthal, Lori H., 1996. "Information Bias in Contingent Valuation: Effects of Personal Relevance, Quality of Information, and Motivational Orientation," Journal of Environmental Economics and Management, Elsevier, vol. 30(1), pages 43-57, January.
    11. Jorgensen, Bradley S. & Syme, Geoffrey J. & Nancarrow, Blair E., 2006. "The role of uncertainty in the relationship between fairness evaluations and willingness to pay," Ecological Economics, Elsevier, vol. 56(1), pages 104-124, January.
    12. Misra, Sukant K. & Huang, Chung L. & Ott, Stephen L., 1991. "Consumer Willingness To Pay For Pesticide-Free Fresh Produce," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 16(2), pages 1-10, December.
    13. W. Bruce Traill, 2004. "Effect of information about benefits of biotechnology on consumer acceptance of genetically modified food: evidence from experimental auctions in the United States, England, and France," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 31(2), pages 179-204, June.
    14. Blomquist, Glenn C. & Whitehead, John C., 1998. "Resource quality information and validity of willingness to pay in contingent valuation," Resource and Energy Economics, Elsevier, vol. 20(2), pages 179-196, June.
    15. Bateman, Ian J. & Mawby, James, 2004. "First impressions count: interviewer appearance and information effects in stated preference studies," Ecological Economics, Elsevier, vol. 49(1), pages 47-55, May.
    16. Grannis, Jennifer L. & Hooker, Neal H. & Thilmany, Dawn D., 2000. "Consumer Preference For Specific Attributes In Natural Beef Products," 2000 Annual Meeting, June 29-July 1, 2000, Vancouver, British Columbia 36406, Western Agricultural Economics Association.
    17. Ian J. Bateman & Brett H. Day & Diane P. Dupont & Stavros Georgiou, 2009. "Procedural Invariance Testing of the One-and-One-Half-Bound Dichotomous Choice Elicitation Method," The Review of Economics and Statistics, MIT Press, vol. 91(4), pages 806-820, November.
    18. Wendy J. Umberger & Dawn D. Thilmany McFadden & Amanda R. Smith, 2009. "Does altruism play a role in determining U.S. consumer preferences and willingness to pay for natural and regionally produced beef?," Agribusiness, John Wiley & Sons, Ltd., vol. 25(2), pages 268-285.
    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. Gedikoglu, Haluk & Gedikoglu, Ayca & Clarke, Andrew D., 2016. "Consumers’ Preferences for Citrus Fiber-Added Ground Beef," Journal of Food Distribution Research, Food Distribution Research Society, vol. 47(3), November.

    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. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    2. Clem Tisdell & Clevo Wilson, 2006. "Information, Wildlife Valuation, Conservation: Experiments And Policy," Contemporary Economic Policy, Western Economic Association International, vol. 24(1), pages 144-159, January.
    3. Tisdell, Clem & Wilson, Clevo & Swarna Nantha, Hemanath, 2008. "Contingent valuation as a dynamic process," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 37(4), pages 1443-1458, August.
    4. Katuwal, Hari & Venn, Tyron J. & Paveglio, Travis & Prato, Tony, 2015. "Effects of Information Framing and Information Seeking Behavior on Willingness-to-pay for a Wildfire Management Program," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205645, Agricultural and Applied Economics Association.
    5. Welling, Malte & Sagebiel, Julian & Rommel, Jens, 2023. "Information processing in stated preference surveys," Journal of Environmental Economics and Management, Elsevier, vol. 119(C).
    6. Tisdell, Clement A. & Wilson, Clevo & Swarna Nantha, Hemanath, 2005. "Dynamic Processes in the Contingent Valuation of an Endangered Mammal Species," Economics, Ecology and Environment Working Papers 55064, University of Queensland, School of Economics.
    7. Malte Welling & Ewa Zawojska & Julian Sagebiel, 2022. "Information, Consequentiality and Credibility in Stated Preference Surveys: A Choice Experiment on Climate Adaptation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(1), pages 257-283, May.
    8. Randall, Alan & Hoehn, John P., 2000. "Valuing Injury To Natural Resources: The Effect Of Resource Quality Information On Perceptions And Contingent Values," Staff Paper Series 11507, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    9. Arvin B. Vista & Randall S. Rosenberger & Alan R. Collins, 2009. "If You Provide It, Will They Read It? Response Time Effects in a Choice Experiment," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 57(3), pages 365-377, September.
    10. Ahtiainen, Heini & Tienhaara, Annika & Pouta, Eija & Czajkowski, Mikolaj, 2017. "Role of information in the valuation of unfamiliar goods – the case of genetic resources in agriculture," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 261423, European Association of Agricultural Economists.
    11. Li, Xiaoshu & Boyle, Kevin J. & Pullis, Genevieve, 2012. "Does On-site Experience Affect Responses to Stated Preference Questions?," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124991, Agricultural and Applied Economics Association.
    12. Robert W. Kling & Charles F. Revier & Karin Sable, 2004. "Estimating the Public Good Value of Preserving a Local Historic Landmark: The Role of Non-substitutability and Citizen Information," Urban Studies, Urban Studies Journal Limited, vol. 41(10), pages 2025-2041, September.
    13. Li, Xiaoshu & Boyle, Kevin J. & Holmes, Thomas P. & LaRouche, Genevieve Pullis, 2014. "The effect of on-site forest experience on stated preferences for low-impact timber harvesting programs," Journal of Forest Economics, Elsevier, vol. 20(4), pages 348-362.
    14. Elcin Akcura, 2011. "Information Effects in Valuation of Electricity and Water Service Attributes Using Contingent Valuation," Working Papers EPRG 1127, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    15. Alhassan, Mustapha & Gustafson, Christopher R. & Schoengold, Karina, 2017. "Effects of Information Framing on Smallholder Irrigation Farmers’ Willingness to Pay for Groundwater Protection: The Case of Vea Irrigation Scheme in Ghana," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258432, Agricultural and Applied Economics Association.
    16. Broberg, Thomas & Daniel, Aemiro Melkamu & Persson, Lars, 2021. "Household preferences for load restrictions: Is there an effect of pro-environmental framing?," Energy Economics, Elsevier, vol. 97(C).
    17. Lindhjem, Henrik & Navrud, Ståle, 2011. "Using Internet in Stated Preference Surveys: A Review and Comparison of Survey Modes," International Review of Environmental and Resource Economics, now publishers, vol. 5(4), pages 309-351, September.
    18. Alfnes, Frode & Steine, Gro, 2005. "None-of-These Bias in Stated Choice Experiments," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24761, European Association of Agricultural Economists.
    19. Hoehn, John P. & Randall, Alan, 2002. "The effect of resource quality information on resource injury perceptions and contingent values," Resource and Energy Economics, Elsevier, vol. 24(1-2), pages 13-31, February.
    20. Lindhjem, Henrik & Navrud, Ståle, 2008. "Internet CV surveys – a cheap, fast way to get large samples of biased values?," MPRA Paper 11471, University Library of Munich, Germany.

    More about this item

    Keywords

    Marketing;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:aare11:100540. 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/aaresea.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.