IDEAS home Printed from https://ideas.repec.org/a/eee/jfpoli/v61y2016icp176-184.html
   My bibliography  Save this article

Consumer willingness to pay for traditional food products

Author

Listed:
  • Balogh, Péter
  • Békési, Dániel
  • Gorton, Matthew
  • Popp, József
  • Lengyel, Péter

Abstract

Reflecting the growing interest from both consumers and policymakers, and building on recent developments in Willingness to Pay (WTP) methodologies, we evaluate consumer preferences for an archetypal traditional food product. Specifically we draw on stated preference data from a discrete choice experiment, considering the traditional Hungarian mangalitza salami. A WTP space specification of the generalized multinomial logit model is employed, which accounts for not only heterogeneity in preferences but also differences in the scale of the idiosyncratic error term. Results indicate that traditional food products can command a substantial premium, albeit contingent on effective quality certification, authentic product composition and effective choice of retail outlet. Promising consumer segments and policy implications are identified.

Suggested Citation

  • Balogh, Péter & Békési, Dániel & Gorton, Matthew & Popp, József & Lengyel, Péter, 2016. "Consumer willingness to pay for traditional food products," Food Policy, Elsevier, vol. 61(C), pages 176-184.
    • Handle: RePEc:eee:jfpoli:v:61:y:2016:i:c:p:176-184
    DOI: 10.1016/j.foodpol.2016.03.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306919216300161
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.foodpol.2016.03.005?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
    ---><---

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

    References listed on IDEAS

    as
    1. Koert Van Ittersum & Matthew T. G. Meulenberg & Hans C. M. Van Trijp & Math J. J. M. Candel, 2007. "Consumers’ Appreciation of Regional Certification Labels: A Pan-European Study," Journal of Agricultural Economics, Wiley Blackwell, vol. 58(1), pages 1-23, February.
    2. 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.
    3. repec:bla:devpol:v:22:y:2004:i::p:525-556 is not listed on IDEAS
    4. Danny Campbell & Edel Doherty, 2013. "Combining discrete and continuous mixing distributions to identify niche markets for food," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 40(2), pages 287-312, March.
    5. Matthew Gorton & Angela Tregear, 2008. "Government Support to Regional Food Producers: An Assessment of England's Regional Food Strategy," Environment and Planning C, , vol. 26(6), pages 1047-1060, December.
    6. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D., 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304, September.
    7. Andreas C. Drichoutis & Panagiotis Lazaridis & Rodolfo M. Nayga, 2005. "Nutrition knowledge and consumer use of nutritional food labels," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 32(1), pages 93-118, March.
    8. 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.
    9. Jayson L. Lusk & Jutta Roosen & John A. Fox, 2003. "Demand for Beef from Cattle Administered Growth Hormones or Fed Genetically Modified Corn: A Comparison of Consumers in France, Germany, the United Kingdom, and the United States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(1), pages 16-29.
    10. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    11. Kizos, Thanasis & Vakoufaris, Hristos, 2011. "Valorisation of a local asset: The case of olive oil on Lesvos Island, Greece," Food Policy, Elsevier, vol. 36(5), pages 704-713, October.
    12. Jayson L. Lusk & Ted C. Schroeder, 2004. "Are Choice Experiments Incentive Compatible? A Test with Quality Differentiated Beef Steaks," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(2), pages 467-482.
    13. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, September.
    14. Pocsai, Krisztina, 2013. "A Comparison Of The Hungarian Mangalitza And Dutch Organic Pork Chains," APSTRACT: Applied Studies in Agribusiness and Commerce, AGRIMBA, vol. 6(5), pages 1-4, April.
    15. Tregear, Angela & Kuznesof, Sharron & Moxey, Andrew, 1998. "Policy initiatives for regional foods: some insights from consumer research," Food Policy, Elsevier, vol. 23(5), pages 383-394, October.
    16. Denzil G. Fiebig & Michael P. Keane & Jordan Louviere & Nada Wasi, 2010. "The Generalized Multinomial Logit Model: Accounting for Scale and Coefficient Heterogeneity," Marketing Science, INFORMS, vol. 29(3), pages 393-421, 05-06.
    17. Darby, Michael R & Karni, Edi, 1973. "Free Competition and the Optimal Amount of Fraud," Journal of Law and Economics, University of Chicago Press, vol. 16(1), pages 67-88, April.
    18. Andrew Collins & John Rose & Stephane Hess, 2012. "Interactive stated choice surveys: a study of air travel behaviour," Transportation, Springer, vol. 39(1), pages 55-79, January.
    19. Balcombe, Kelvin & Fraser, Iain & Falco, Salvatore Di, 2010. "Traffic lights and food choice: A choice experiment examining the relationship between nutritional food labels and price," Food Policy, Elsevier, vol. 35(3), pages 211-220, June.
    20. Yuanyuan Gu & Arne Risa Hole & Stephanie Knox, 2013. "Fitting the generalized multinomial logit model in Stata," Stata Journal, StataCorp LP, vol. 13(2), pages 382-397, June.
    21. Adrienn Molnár & Xavier Gellynck & Filiep Vanhonacker & Taras Gagalyuk & Wim Verbeke, 2011. "Do chain goals match consumer perceptions? the case of the traditional food sector in selected European Union countries," Agribusiness, John Wiley & Sons, Ltd., vol. 27(2), pages 221-243, Spring.
    22. Kizos, Thanasis & Vakoufaris, Hristos, 2011. "Valorisation of a local asset: The case of olive oil on Lesvos Island, Greece," Food Policy, Elsevier, vol. 36(5), pages 705-714.
    23. Hu, Wuyang, 2006. "Exploring Heterogeneity in Consumers’ Meat Store Choices in an Emerging Market," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 24(2), pages 1-16.
    24. Resano, Helena & Sanjuán, Ana I. & Albisu, Luis M., 2012. "Consumers’ response to the EU Quality policy allowing for heterogeneous preferences," Food Policy, Elsevier, vol. 37(4), pages 355-365.
    25. 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.
    26. Balcombe, Kelvin & Chalak, Ali & Fraser, Iain, 2009. "Model selection for the mixed logit with Bayesian estimation," Journal of Environmental Economics and Management, Elsevier, vol. 57(2), pages 226-237, March.
    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. Sauthoff, Saramena & Danne, Michael & Mußhoff, Oliver, 2017. "To switch or not to switch? – Understanding German consumers’ willingness to pay for green electricity tariff attributes," Department of Agricultural and Rural Development (DARE) Discussion Papers 260771, Georg-August-Universitaet Goettingen, Department of Agricultural Economics and Rural Development (DARE).
    2. 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.
    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. Mohammed H. Alemu & Søren B. Olsen, 2017. "Can a Repeated Opt-Out Reminder remove hypothetical bias in discrete choice experiments? An application to consumer valuation of novel food products," IFRO Working Paper 2017/05, University of Copenhagen, Department of Food and Resource Economics.
    5. Giacomo Pallante & Adam Drucker, 2014. "Niche Markets for Agrobiodiversity Conservation: Preference and Scale Heterogeneity Effects on Nepalese Consumers’ WTP for Finger Millet Products," SEEDS Working Papers 1414, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised May 2014.
    6. Ajayi, V. & Reiner, D., 2020. "Consumer Willingness to Pay for Reducing the Environmental Footprint of Green Plastics," Cambridge Working Papers in Economics 20110, Faculty of Economics, University of Cambridge.
    7. Pallante, Giacomo & Drucker, Adam G. & Sthapit, Sajal, 2016. "Assessing the potential for niche market development to contribute to farmers' livelihoods and agrobiodiversity conservation: Insights from the finger millet case study in Nepal," Ecological Economics, Elsevier, vol. 130(C), pages 92-105.
    8. Zander, Kerstin K. & Signorello, Giovanni & De Salvo, Maria & Gandini, Gustavo & Drucker, Adam G., 2013. "Assessing the total economic value of threatened livestock breeds in Italy: Implications for conservation policy," Ecological Economics, Elsevier, vol. 93(C), pages 219-229.
    9. Qingyin Cai & Yulian Ding & Calum Tuvey & Yuehua Zhang, 2021. "The influence of past experience on farmers’ preferences for hog insurance products: a natural experiment and choice experiment in China," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 46(3), pages 399-421, July.
    10. Hoyos, David, 2010. "The state of the art of environmental valuation with discrete choice experiments," Ecological Economics, Elsevier, vol. 69(8), pages 1595-1603, June.
    11. Yuanyuan Gu & Richard Norman & Rosalie Viney, 2014. "Estimating Health State Utility Values From Discrete Choice Experiments—A Qaly Space Model Approach," Health Economics, John Wiley & Sons, Ltd., vol. 23(9), pages 1098-1114, September.
    12. Arne Risa Hole & Hong Il Yoo, 2017. "The use of heuristic optimization algorithms to facilitate maximum simulated likelihood estimation of random parameter logit models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(5), pages 997-1013, November.
    13. Völker, Marc & Lienhoop, Nele, 2016. "Exploring group dynamics in deliberative choice experiments," Ecological Economics, Elsevier, vol. 123(C), pages 57-67.
    14. Wongprawmas, Rungsaran & Canavari, Maurizio, 2017. "Consumers’ willingness-to-pay for food safety labels in an emerging market: The case of fresh produce in Thailand," Food Policy, Elsevier, vol. 69(C), pages 25-34.
    15. Ortega, David L. & Wang, H. Holly & Wu, Laping & Olynk, Nicole J., 2011. "Modeling heterogeneity in consumer preferences for select food safety attributes in China," Food Policy, Elsevier, vol. 36(2), pages 318-324, April.
    16. Kar Ho Lim & Wuyang Hu, 2023. "Contextual reference price in choice experiments," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(4), pages 1288-1306, August.
    17. 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.
    18. Irani, Alexandra & Chalak, Ali, 2015. "Harnessing motorists’ potential demand for hybrid-electric vehicles in Lebanon: Policy options, CO2 emissions reduction and welfare gains," Transport Policy, Elsevier, vol. 42(C), pages 144-155.
    19. D. Fang & R. M. Nayga & H. A. Snell & G. H. West & C. Bazzani, 2019. "Evaluating USA’s New Nutrition and Supplement Facts Label: Evidence from a Non-hypothetical Choice Experiment," Journal of Consumer Policy, Springer, vol. 42(4), pages 545-562, December.
    20. Di Fang & Rodolfo M. Nayga & Grant H. West & Claudia Bazzani & Wei Yang & Benjamin C. Lok & Charles E. Levy & Heather A. Snell, 2021. "On the Use of Virtual Reality in Mitigating Hypothetical Bias in Choice Experiments," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(1), pages 142-161, January.

    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:eee:jfpoli:v:61:y:2016:i:c:p:176-184. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/foodpol .

    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.