IDEAS home Printed from https://ideas.repec.org/a/oup/erevae/v44y2017i2p211-230..html
   My bibliography  Save this article

Cue versus independent food attributes: the effect of adding attributes in choice experiments

Author

Listed:
  • Vincenzina Caputo
  • Riccardo Scarpa
  • Rodolfo M. Nayga

Abstract

We examine the effects of adding an independent food attribute on consumers’ willingness to pay (WTP) estimates for both cue and independent food attributes. In three separate choice experiments, a cue attribute present along the entire sequence of choices had independent food attributes enucleated and made explicit from the cue at later stages. Logit models were estimated using (i) a complete panel approach; (ii) error components and (iii) utility in WTP-space. Results suggest that the way a subject processes food attributes depends not only on the design dimensions but also on food attributes’ functional roles. When complexity of designs increases, models that account for different sources of heterogeneity have better fit to the data.

Suggested Citation

  • Vincenzina Caputo & Riccardo Scarpa & Rodolfo M. Nayga, 2017. "Cue versus independent food attributes: the effect of adding attributes in choice experiments," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 44(2), pages 211-230.
  • Handle: RePEc:oup:erevae:v:44:y:2017:i:2:p:211-230.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/erae/jbw022
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Agata Nicolosi & Donatella Di Gregorio & Giuseppe Arena & Valentina Rosa Laganà & Donatella Privitera, 2021. "Small-Scale Coastal Fisheries in the Midst of Adaptation and Diversification: Insights from Southern Italy," Sustainability, MDPI, vol. 13(13), pages 1-27, July.
    2. Lang, Ghislaine & Farsi, Mehdi & Lanz, Bruno & Weber, Sylvain, 2021. "Energy efficiency and heating technology investments: Manipulating financial information in a discrete choice experiment," Resource and Energy Economics, Elsevier, vol. 64(C).
    3. Jeff Luckstead & Heather A. Snell & Lawton Lanier Nalley & Rodolfo M. Nayga & Joshua Sarpaning, 2022. "A multi‐country study on consumers' valuation for child‐labor‐free chocolate: Implications for child labor in cocoa production," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(2), pages 1021-1048, June.
    4. Danielle Ufer & David L. Ortega & Christopher A. Wolf, 2022. "Information and consumer demand for milk attributes: Are redundant labels an effective marketing strategy?," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(2), pages 960-981, June.
    5. 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.
    6. Carola Grebitus & Anne O. Peschel & Renée Shaw Hughner, 2018. "Voluntary food labeling: The additive effect of “free from” labels and region of origin," Agribusiness, John Wiley & Sons, Ltd., vol. 34(4), pages 714-727, October.
    7. Fabio Boncinelli & Andrea Dominici & Francesca Gerini & Enrico Marone, 2021. "Insights into organic wine consumption: behaviour, segmentation and attribute non-attendance," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 9(1), pages 1-16, December.
    8. Vincenzina Caputo, 2020. "Does information on food safety affect consumers' acceptance of new food technologies? The case of irradiated beef in South Korea under a new labelling system and across different information regimes," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(4), pages 1003-1033, October.
    9. Maina, Kevin W. & Parlasca, Martin C. & Rao, Elizaphan J.O. & Qaim, Matin, 2023. "Farmer-friendly delivery of veterinary services: Experimental insights from the Kenyan dairy sector," Discussion Papers 338419, University of Bonn, Center for Development Research (ZEF).
    10. Bazzani, Claudia & Palma, Marco A. & Nayga, Rodolfo M., Jr., 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), April.
    11. 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.
    12. Ching‐Hua Yeh & Stefan Hirsch, 2023. "A meta‐regression analysis on the willingness‐to‐pay for country‐of‐origin labelling," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(3), pages 719-743, September.
    13. Juan Jose Blazquez-Resino & Santiago Gutierrez-Broncano & Pedro Jimenez-Estevez & Israel Roberto Perez-Jimenez, 2021. "The Effect of Ethnocentrism on Product Evaluation and Purchase Intention: The Case of Extra Virgin Olive Oil (EVOO)," Sustainability, MDPI, vol. 13(9), pages 1-24, April.
    14. 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.
    15. David Throsby & Anita Zednik & Jorge E. Araña, 2021. "Public preferences for heritage conservation strategies: a choice modelling approach," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 45(3), pages 333-358, September.
    16. 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.
    17. Fraser, Iain & Balcombe, Kelvin & Williams, Louis & McSorley, Eugene, 2021. "Preference stability in discrete choice experiments. Some evidence using eye-tracking," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 94(C).
    18. Carola Grebitus & Ellen J. Van Loo, 2022. "Relationship between cognitive and affective processes, and willingness to pay for pesticide‐free and GMO‐free labeling," Agricultural Economics, International Association of Agricultural Economists, vol. 53(3), pages 407-421, May.
    19. Glenk, Klaus & Meyerhoff, Jürgen & Akaichi, Faical & Martin-Ortega, Julia, 2019. "Revisiting cost vector effects in discrete choice experiments," Resource and Energy Economics, Elsevier, vol. 57(C), pages 135-155.
    20. Wen Lin, 2023. "The effect of product quantity on willingness to pay: A meta‐regression analysis of beef valuation studies," Agribusiness, John Wiley & Sons, Ltd., vol. 39(3), pages 646-663, July.
    21. Kilders, Valerie & Lineback, Caitlinn & Malone, Trey & Caputo, Vincenzina & McKendree, Melissa G.S., 2022. "The Tart Cherry Market and Purchasing Preferences in the United States," Staff Paper Series 317810, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    22. Oyinbo, O. & Maertens, M. & Chamberlin, J. & Vanlauwe, B. & Craufurd, P. & Kamara, A., 2018. "Maize Farmers Preferences for ICT-based extension services: Evidence from a Choice Experiment in Nigeria," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277328, International Association of Agricultural Economists.

    More about this item

    Keywords

    choice experiment; choice design complexity; cue and independent food attributes; complete panel data approach; willingness to pay;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

    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:oup:erevae:v:44:y:2017:i:2:p:211-230.. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/eaaeeea.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.