IDEAS home Printed from https://ideas.repec.org/p/ags/aaea17/258545.html
   My bibliography  Save this paper

Market Responses to Information Conveying Mixed Messages – Prediction of Informational Impacts on Consumer Willingness to Pay for Eggs from Welfare Enhanced Cage Systems using Discrete Choice Experiments

Author

Listed:
  • Cao, Ying
  • Chen, Chen
  • Cranfield, John
  • Widowski, Tina

Abstract

No abstract is available for this item.

Suggested Citation

  • Cao, Ying & Chen, Chen & Cranfield, John & Widowski, Tina, 2017. "Market Responses to Information Conveying Mixed Messages – Prediction of Informational Impacts on Consumer Willingness to Pay for Eggs from Welfare Enhanced Cage Systems using Discrete Choice Experime," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258545, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea17:258545
    DOI: 10.22004/ag.econ.258545
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/258545/files/Abstracts_17_05_24_16_12_02_42__128_205_93_117_0.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.258545?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. Huffman, Wallace E. & Rousu, Matthew & Shogren, Jason F. & Tegene, Abebayehu, 2007. "The effects of prior beliefs and learning on consumers' acceptance of genetically modified foods," Journal of Economic Behavior & Organization, Elsevier, vol. 63(1), pages 193-206, May.
    2. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    3. Glynn T. Tonsor & Robert S. Shupp, 2011. "Cheap Talk Scripts and Online Choice Experiments: "Looking Beyond the Mean"," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(4), pages 1015-1031.
    4. Jayson Lusk & Tomas Nilsson & Ken Foster, 2007. "Public Preferences and Private Choices: Effect of Altruism and Free Riding on Demand for Environmentally Certified Pork," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 36(4), pages 499-521, April.
    5. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    6. Mickael Bech & Dorte Gyrd‐Hansen, 2005. "Effects coding in discrete choice experiments," Health Economics, John Wiley & Sons, Ltd., vol. 14(10), pages 1079-1083, October.
    7. Francisco Alex J. & Bruce Amanda S. & Crespi John M. & Lusk Jayson L. & McFadden Brandon & Bruce Jared M. & Aupperle Robin L. & Lim Seung-Lark, 2015. "Are Consumers as Constrained as Hens are Confined? Brain Activations and Behavioral Choices after Informational Influence," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 13(1), pages 113-119, January.
    8. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
    9. Maurice Doyon & Stéphane Bergeron & John Cranfield & Lota Tamini & George Criner, 2016. "Consumer Preferences for Improved Hen Housing: Is a Cage a Cage?," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(4), pages 739-751, December.
    10. Sumner, Daniel A. & Matthews, William A. & Mench, Joy A. & Rosen-Molina, J. Thomas, 2010. "The Economics of Regulations on Hen Housing in California," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 42(3), pages 429-438, August.
    11. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    12. 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.
    13. Goddard, Ellen W. & Boxall, Peter C. & Emunu, John Paul & Boyd, Curtis & Asselin, Andre & Neall, Amanda, 2007. "Consumer Attitudes, Willingness to Pay and Revealed Preferences for Different Egg Production Attributes: Analysis of Canadian Egg Consumers," Project Report Series 52087, University of Alberta, Department of Resource Economics and Environmental Sociology.
    14. Rebecca W. Hamilton & Debora Viana Thompson, 2007. "Is There a Substitute for Direct Experience? Comparing Consumers' Preferences after Direct and Indirect Product Experiences," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 34(4), pages 546-555, June.
    15. McFadden, Brandon R. & Lusk, Jayson L., 2015. "Cognitive biases in the assimilation of scientific information on global warming and genetically modified food," Food Policy, Elsevier, vol. 54(C), pages 35-43.
    16. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D. With contributions by-Name:Adamowicz,Wiktor, 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304, November.
    17. Lusk Jayson L, 2010. "The Effect of Proposition 2 on the Demand for Eggs in California," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 8(1), pages 1-20, April.
    18. André M. Asselin, 2005. "Eggcentric Behavior—Consumer Characteristics That Demonstrate Greater Willingness to Pay for Functionality," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(5), pages 1339-1344.
    19. Wim Verbeke, 2005. "Agriculture and the food industry in the information age," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 32(3), pages 347-368, September.
    20. Carl Johan Lagerkvist & Sebastian Hess, 2011. "A meta-analysis of consumer willingness to pay for farm animal welfare," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 38(1), pages 55-78, March.
    21. Morten Mørkbak & Jonas Nordström, 2009. "The Impact of Information on Consumer Preferences for Different Animal Food Production Methods," Journal of Consumer Policy, Springer, vol. 32(4), pages 313-331, December.
    22. Chang, Jae Bong & Lusk, Jayson L. & Norwood, F. Bailey, 2010. "The Price of Happy Hens: A Hedonic Analysis of Retail Egg Prices," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 35(3), pages 1-18, December.
    23. Lu, Yiqing & Cranfield, John & Widowski, Tina, 2013. "Consumer Preference for Eggs from Enhanced Animal Welfare Production System: A Stated Choice Analysis," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150276, Agricultural and Applied Economics Association.
    Full references (including those not matched with items on IDEAS)

    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. Cao, Ying (Jessica) & Cranfield, John & Chen, Chen & Widowski, Tina, 2021. "Heterogeneous informational and attitudinal impacts on consumer preferences for eggs from welfare enhanced cage systems," Food Policy, Elsevier, vol. 99(C).
    2. Faical Akaichi & Klaus Glenk & Cesar Revoredo‐Giha, 2022. "Bundling food labels: What role could the labels “Organic,” “Local” and “Low Fat” play in fostering the demand for animal‐friendly meat," Agribusiness, John Wiley & Sons, Ltd., vol. 38(2), pages 349-370, April.
    3. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    4. 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.
    5. Houman Hashemzadeh & Alireza Karbasi & Hosein Mohammadi & Ali Firoozzare & Flavio Boccia, 2022. "Investigating the Effect of Nudges on Consumers’ Willingness to Pay for Genetically Modified Corn Oil," Sustainability, MDPI, vol. 14(19), pages 1-18, October.
    6. Ochs, Dan & Wolf, Christopher A. & Widmar, Nicole Olynk & Bir, Courtney & Lai, John, 2019. "Hen housing system information effects on U.S. egg demand," Food Policy, Elsevier, vol. 87(C), pages 1-1.
    7. Ana I. Sanjuán‐López & Helena Resano‐Ezcaray, 2020. "Labels for a Local Food Speciality Product: The Case of Saffron," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 778-797, September.
    8. Pascucci, Stefano & Magistris, Tiziana de, 2013. "Information Bias Condemning Radical Food Innovators? The Case of Insect-Based Products in the Netherlands," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 16(3), pages 1-16, September.
    9. 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.
    10. Klaiman, Kimberly & Ortega, David L. & Garnache, Cloé, 2016. "Consumer preferences and demand for packaging material and recyclability," Resources, Conservation & Recycling, Elsevier, vol. 115(C), pages 1-8.
    11. Emily Lancsar & Jordan Louviere, 2008. "Conducting Discrete Choice Experiments to Inform Healthcare Decision Making," PharmacoEconomics, Springer, vol. 26(8), pages 661-677, August.
    12. Ortega, David L. & Wang, H. Holly & Wu, Laping & Hong, Soo Jeong, 2015. "Retail channel and consumer demand for food quality in China," China Economic Review, Elsevier, vol. 36(C), pages 359-366.
    13. Doherty, Edel & Campbell, Danny, 2011. "Demand for improved food safety and quality: a cross-regional comparison," 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK 108791, Agricultural Economics Society.
    14. Tamaki Kitagawa & Kenichi Kashiwagi & Hiroko Isoda, 2020. "Effect of Religious and Cultural Information of Olive Oil on Consumer Behavior: Evidence from Japan," Sustainability, MDPI, vol. 12(3), pages 1-17, January.
    15. Carole Ropars-Collet & Philippe Goffe & Qods Lefnatsa, 2021. "Does catch-and-release increase the recreational value of rivers? The case of salmon fishing," Review of Agricultural, Food and Environmental Studies, Springer, vol. 102(4), pages 393-424, December.
    16. Tonsor, Glynn T. & Olynk, Nicole & Wolf, Christopher, 2009. "Consumer Preferences for Animal Welfare Attributes: The Case of Gestation Crates," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 41(3), pages 713-730, December.
    17. Chad M. Baum & Robert Weigelt, 2019. "How Where I Shop Influences What I Buy: The Importance of the Retail Format in Sustainable Tomato Consumption," Economic Complexity and Evolution, in: Andreas Chai & Chad M. Baum (ed.), Demand, Complexity, and Long-Run Economic Evolution, pages 141-169, Springer.
    18. Ladenburg, Jacob & Olsen, Søren Bøye, 2014. "Augmenting short Cheap Talk scripts with a repeated Opt-Out Reminder in Choice Experiment surveys," Resource and Energy Economics, Elsevier, vol. 37(C), pages 39-63.
    19. Marit E. Kragt & J.W. Bennett, 2011. "Using choice experiments to value catchment and estuary health in Tasmania with individual preference heterogeneity," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(2), pages 159-179, April.
    20. Julia Ihli, Hanna & Chiputwa, Brian & Winter, Etti & Gassner, Anja, 2022. "Risk and time preferences for participating in forest landscape restoration: The case of coffee farmers in Uganda," World Development, Elsevier, vol. 150(C).

    More about this item

    Keywords

    Marketing; Institutional and Behavioral Economics; Agribusiness;
    All these keywords.

    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:aaea17:258545. 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.