Agric. Econ. - Czech, 2022, 68(5):189-197 | DOI: 10.17221/429/2021-AGRICECON

The application of choice experiments in a study on consumer preference for agri-food products: A literature reviewReview

Arif Yustian Maulana Noor ORCID...*,1, Hery Toiba1, Budi Setiawan1, Abdul Wahib Muhaimin1, Adhitya Marendra Kiloes2
1 Agriculture Socio-Economic Department, Faculty of Agriculture, Brawijaya University, Malang, Indonesia
2 Indonesian Centre for Horticultural Research and Development, Bogor, Indonesia

A choice experiment (CE) is a stated preference method to elicit the respondent's preference. The CE can predict consumer valuation for a hypothetical product's attributes. Many scholars have discussed the CE's design, analysis, reliability, and validity. Still, no scientific papers reviewed its application in agri-food studies in a broad spectrum, particularly in investigating food product categories and their attributes. Additionally, this review emphasises the technical aspects of CEs, such as the sample size, software, data analysis, and research implications. The result discovered that most CE studies are relevant to developed countries. Most reviewed studies observed wine and meat as objects in the CE studies, in the theme of health, food safety, origin, and sustainability. The future research trend was related to health benefits and natural ingredients. Thus, this review provides recommendations for future studies to explore consumer preference using CE in agri-food research.

Keywords: agri-food choice study; choice experiments application; consumer food preference; future research; systematic literature review

Published: May 18, 2022  Show citation

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Noor AYM, Toiba H, Setiawan B, Muhaimin AW, Kiloes AM. The application of choice experiments in a study on consumer preference for agri-food products: A literature review. Agric. Econ. - Czech. 2022;68(5):189-197. doi: 10.17221/429/2021-AGRICECON.
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    References

    1. Aizaki H., Nishimura K. (2008): Design and analysis of choice experiments using R: A brief introduction. Agricultural Information Research, 17: 86-94. Go to original source...
    2. Annunziata A., Agnoli L., Vecchio R., Charters S., Mariani A. (2019): Health warnings on wine labels: A discrete choice analysis of Italian and French Generation Y consumers. Wine Economics and Policy, 8: 81-90. Go to original source...
    3. Baiano A. (2021): An overview on sustainability in the wine production chain. Beverages, 7: 1-27. Go to original source...
    4. Ballco P., Caputo V., de-Magistris T. (2020): Consumer valuation of European nutritional and health claims: Do taste and attention matter? Food Quality and Preference, 79: 103793. Go to original source...
    5. Boncinelli F., Dominici A., Gerini F., Marone E. (2021): Insights into organic wine consumption: Behaviour, segmentation and attribute non-attendance. Agricultural and Food Economics, 9: 7. Go to original source...
    6. Cantillo J., Martín J.C., Román C. (2020): Discrete choice experiments in the analysis of consumers' preferences for finfish products: A systematic literature review. Food Quality and Preference, 84: 103952. Go to original source...
    7. Casini L., Contini C., Romano C., Scozzafava G. (2016): New trends in food choice: What impact on sustainability of rural areas? Agriculture and Agricultural Science Procedia, 8: 141-147. Go to original source...
    8. Dawoud D.M. (2019): Discrete choice experiment. In: Babar Z. (ed.): Encyclopedia of Pharmacy Practice and Clinical Pharmacy. Amsterdam, the Netherlands, Elsevier: 62-71.
    9. De Bekker-Grob E.W., Donkers B., Jonker M.F., Stolk E.A. (2015): Sample size requirements for discrete-choice experiments in healthcare: A practical guide. The Patient - Patient-Centered Outcomes Research, 8: 373-384. Go to original source... Go to PubMed...
    10. De Marchi E., Cavaliere A., Bacenetti J., Milani F., Pigliafreddo S., Banterle A. (2019): Can consumer food choices contribute to reduce environmental impact? The case of cisgenic apples. Science of the Total Environment, 681: 155-162. Go to original source... Go to PubMed...
    11. Deroover K., Siegrist M., Brain K., McIntyre J., Bucher T. (2021): A scoping review on consumer behaviour related to wine and health. Trends in Food Science & Technology, 112: 559-580. Go to original source...
    12. European Parliament (2015): European Parliament Resolution of 29 April 2015 on Alcohol Strategy. European Parliament. Available at https://www.europarl.europa.eu/doceo/document/TA-8-2015-0174_EN.html?redirect (accessed Sept 28, 2021).
    13. FAO (2022): FAO/WHO Global Individual Food Consumption Data Tool (GIFT): Methodological Document: Food Groups and Subgroups. Food and Agricultural Organization of the United Nations (FAO). Available at http://www.fao.org/gift-individual-food-consumption/methodology/food-groups-and-sub-groups/en (accessed July 25, 2021).
    14. Feuz R., Norwood F.B., Ramanathan R. (2020): Do consumers have an appetite for discolored beef? Agribusiness, 36: 631-652. Go to original source...
    15. Gensler S., Hinz O., Skiera B., Theysohn S. (2012): Willingness-to-pay estimation with choice-based conjoint analysis: Addressing extreme response behavior with individually adapted designs. European Journal of Operational Research, 219: 368-378. Go to original source...
    16. Guiné R.P.F., Florença S.G., Barroca M.J., Anjos O. (2020): The link between the consumer and the innovations in food product development. Foods, 9: 1317. Go to original source... Go to PubMed...
    17. Guo Z., Bai L., Gong S. (2019): Government regulations and voluntary certifications in food safety in China: A review. Trends in Food Science & Technology, 90: 160-165. Go to original source...
    18. Henchion M., Moloney A.P., Hyland J., Zimmermann J., McCarthy S. (2021): Review: Trends for meat, milk and egg consumption for the next decades and the role played by livestock systems in the global production of proteins. Animal, 15: 100287. Go to original source... Go to PubMed...
    19. Hodas F., Zorzenon M.R.T., Milani P.G. (2021): Moringa oleifera potential as a functional food and a natural food additive: A biochemical approach. Anais da Academia Brasileira de Ciencias, 93: 1-18. Go to original source... Go to PubMed...
    20. Horvat A., Granato G., Fogliano V., Luning P.A. (2019): Understanding consumer data use in new product development and the product life cycle in European food firms - An empirical study. Food Quality and Preference, 76: 20-32. Go to original source...
    21. Johnson R., Orme B. (2003): Getting the most from CBC. Sawtooth Software Research Paper Series. Sawtooth Software, Inc. Available at https://sawtoothsoftware.com/resources/technical-papers/getting-the-most-from-cbc (accessed July 20, 2021).
    22. Kendall H., Clark B., Rhymer C., Kuznesof S., Hajslova J., Tomaniova M., Brereton P., Frewer L. (2019): A systematic review of consumer perceptions of food fraud and authenticity: A European perspective. Trends in Food Science and Technology, 94: 79-90. Go to original source...
    23. Khan K.S., Kunz R., Kleijnen J., Antes G. (2003): Five steps to conducting a systematic review. Journal of the Royal Society of Medicine, 96: 118-121. Go to original source... Go to PubMed...
    24. Koutsos T.M., Menexes G.C., Dordas C.A. (2019): An efficient framework for conducting systematic literature reviews in agricultural sciences. Science of the Total Environment, 682: 106-117. Go to original source... Go to PubMed...
    25. Lancaster K.J. (1966): A new approach to consumer theory. Journal of Political Economy, 74: 132-157. Go to original source...
    26. Landim Neves M.I., Silva E.K., Meireles M.A.A. (2021): Natural blue food colorants: Consumer acceptance, current alternatives, trends, challenges, and future strategies. Trends in Food Science & Technology, 112: 163-173. Go to original source...
    27. Lebeau K., Van Mierlo J., Lebeau P., Mairesse O., Macharis C. (2012): The market potential for plug-in hybrid and battery electric vehicles in Flanders: A choice-based conjoint analysis. Transportation Research Part D: Transport and Environment, 17: 592-597. Go to original source...
    28. Louviere J.J., Flynn T.N., Carson R.T. (2010): Discrete choice experiments are not conjoint analysis. Journal of Choice Modelling, 3: 57-72. Go to original source...
    29. Louviere J.J., Hensher D.A. (1983): Using discrete choice models with experimental design data to forecast consumer demand for a unique cultural event. Journal of Consumer Research, 10: 348-361. Go to original source...
    30. Louviere J.J., Hensher D.A., Swait J.D. (2000): Stated Choice Methods: Analysis and Applications. Cambridge, United Kingdom, Cambridge University Press: 402. Go to original source...
    31. Louviere J.J., Woodworth G. (1983): Design and analysis of simulated consumer choice or allocation experiments: An approach based on aggregate data. Journal of Marketing Research, 20: 350-367. Go to original source...
    32. Lu J., Wu L., Wang S., Xu L. (2016): Consumer preference and demand for traceable food attributes. British Food Journal, 118: 2140-2156. Go to original source...
    33. Mariel P., Hoyos D., Meyerhoff J., Czajkowski M., Dekker T., Glenk K., Bredahl Jacobsen J., Liebe U., Bøye Olsen S., Sagebiel J., Thiene M. (2021): Environmental Valuation with Discrete Choice Experiments Guidance on Design, Implementation and Data Analysis. Cham, Switzerland, Cham Springer International Publishing: 129. Go to original source...
    34. McFadden D. (1974): Conditional logit analysis of qualitative choice behavior. Drying Technology, 33: 105-142.
    35. McPhedran R., Toombs B. (2021): Efficacy or delivery? An online discrete choice experiment to explore preferences for COVID-19 vaccines in the UK. Economics Letters, 200: 109747. Go to original source... Go to PubMed...
    36. Moher D., Liberati A., Tetzlaff J., Altman D.G., the PRISMA Group (2009): Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Medicine, 6: e1000097. Go to original source...
    37. Nesselhauf L., Fleuchaus R., Theuvsen L. (2019): What about the environment?: A choice-based conjoint study about wine from fungus-resistant grape varieties. International Journal of Wine Business Research, 32: 96-121. Go to original source...
    38. Orme B.K. (2010): Sample size issues for conjoint analysis. Getting started with conjoint analysis. In: Orme B.K. (ed.): Strategies for Product Design and Pricing Research. Madison, US, Research Publishers LLC: 57-66.
    39. Pulina G., Acciaro M., Atzori A.S., Battacone G., Crovetto G.M., Mele M., Pirlo G., Rassu S.P.G. (2021): Animal board invited review - Beef for future: Technologies for a sustainable and profitable beef industry. Animal, 15: 100358. Go to original source... Go to PubMed...
    40. Reed S., Gonzalez J.M., Johnson F.R. (2020): Willingness to accept trade-offs among COVID-19 cases, social-distancing restrictions, and economic impact: A nationwide US study. Value in Health, 23: 1438-1443. Go to original source... Go to PubMed...
    41. Sarrias M., Daziano R. (2017): Multinomial logit models with continuous and discrete individual heterogeneity in R: The gmnl package. Journal of Statistical Software, 79: 1-46. Go to original source...
    42. Schlereth C., Skiera B. (2017): Two new features in discrete choice experiments to improve willingness-to-pay estimation that result in SDR and SADR: Separated (adaptive) dual response. Management Science, 63: 829-842. Go to original source...
    43. Sharma M., Ong J.J., Celum C., Terris-Prestholt F. (2020): Heterogeneity in individual preferences for HIV testing: A systematic literature review of discrete choice experiments. EClinicalMedicine, 29: 100653. Go to original source... Go to PubMed...
    44. Slade P. (2018): If you build it, will they eat it? Consumer preferences for plant-based and cultured meat burgers. Appetite, 125: 428-437. Go to original source... Go to PubMed...
    45. Snyder H. (2019): Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104: 333-339. Go to original source...
    46. Tait P., Saunders C., Dalziel P., Rutherford P., Driver T., Guenther M. (2019): Estimating wine consumer preferences for sustainability attributes: A discrete choice experiment of Californian Sauvignon blanc purchasers. Journal of Cleaner Production, 233: 412-420. Go to original source...
    47. Wang Y., Wang Z., Wang Z., Li X., Pang X., Wang S. (2021): Application of discrete choice experiment in health care: A bibliometric analysis. Frontiers in Public Health, 9: 673698. Go to original source... Go to PubMed...
    48. Wanyama R., Gödecke T., Jager M., Qaim M. (2019): Poor consumers' preferences for nutritionally enhanced foods. British Food Journal, 121: 755-770. Go to original source...
    49. Wu L., Gong X., Qin S., Chen X., Zhu D., Hu W., Li Q. (2017): Consumer preferences for pork attributes related to traceability, information certification, and origin labeling: Based on China's Jiangsu Province. Agribusiness, 33: 424-442. Go to original source...
    50. Yin S., Li Y., Xu Y., Chen M., Wang Y. (2017): Consumer preference and willingness to pay for the traceability information attribute of infant milk formula: Evidence from a choice experiment in China. British Food Journal, 119: 1276-1288. Go to original source...
    51. Zhu Y., Shen M., Sims C.A., Marshall M.R., House L.A., Sarnoski P.J. (2018): Consumer preference and willingness to pay for tomato juice. International Food and Agribusiness Management Review, 21: 1167-1183. Go to original source...

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