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Regulating menu information: What do consumers care and not care about at casual and fine dining restaurants for seafood consumption?

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  • Nguyen, Ly
  • Gao, Zhifeng
  • Anderson, James L.

Abstract

This research aims to fill the information gap between the increase in food consumption away from home and the lack of understanding of Americans’ preferences for information transparency of food served in casual and fine dining restaurants. Online discrete choice experiments are applied to elicit consumer preferences for transparency of seafood entrée attributes. Consumers strongly prefer entrées with transparent information on species specification, country of origin, production methods, sustainability certification, and sustainability rating. At fine dining restaurants, the most important attributes are sustainability rating, species specification, and price, whereas sustainability rating, species specification, and sustainability certification are the top three attributes at casual restaurants. Furthermore, sustainable certification significantly increases the probability of an entrée being selected, and low-value species benefit more from the sustainability certification than do high-value species. These results provide useful insights for restaurateurs, suppliers, and policymakers to implement appropriate menu policies to improve information transparency and minimize food fraud in the seafood supply chain.

Suggested Citation

  • Nguyen, Ly & Gao, Zhifeng & Anderson, James L., 2022. "Regulating menu information: What do consumers care and not care about at casual and fine dining restaurants for seafood consumption?," Food Policy, Elsevier, vol. 110(C).
    • Handle: RePEc:eee:jfpoli:v:110:y:2022:i:c:s0306919222000537
    DOI: 10.1016/j.foodpol.2022.102272
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    1. Lusk, Jayson L. & Daniel, M. Scott & Mark, Darrell R. & Lusk, Christine L., 2001. "Alternative Calibration And Auction Institutions For Predicting Consumer Willingess To Pay For Nongenetically Modified Corn Chips," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 26(1), pages 1-18, July.
    2. Emily Lancsar & Jordan Louviere, 2008. "Conducting Discrete Choice Experiments to Inform Healthcare Decision Making," PharmacoEconomics, Springer, vol. 26(8), pages 661-677, August.
    3. Clark, Lisa F., 2015. "The current status of DNA barcoding technology for species identification in fish value chains," Food Policy, Elsevier, vol. 54(C), pages 85-94.
    4. Trey Malone & Jayson L. Lusk, 2019. "Releasing The Trap: A Method To Reduce Inattention Bias In Survey Data With Application To U.S. Beer Taxes," Economic Inquiry, Western Economic Association International, vol. 57(1), pages 584-599, January.
    5. Adamowicz, Wiktor & Swait, Joffre & Boxall, Peter & Louviere, Jordan & Williams, Michael, 1997. "Perceptions versus Objective Measures of Environmental Quality in Combined Revealed and Stated Preference Models of Environmental Valuation," Journal of Environmental Economics and Management, Elsevier, vol. 32(1), pages 65-84, January.
    6. Danny Campbell & W. Hutchinson & Riccardo Scarpa, 2008. "Incorporating Discontinuous Preferences into the Analysis of Discrete Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 41(3), pages 401-417, November.
    7. Hess, Stephane & Train, Kenneth, 2017. "Correlation and scale in mixed logit models," Journal of choice modelling, Elsevier, vol. 23(C), pages 1-8.
    8. Vermeulen, Bart & Goos, Peter & Vandebroek, Martina, 2008. "Models and optimal designs for conjoint choice experiments including a no-choice option," International Journal of Research in Marketing, Elsevier, vol. 25(2), pages 94-103.
    9. Winnie Yip & Duncan Knowler & Wolfgang Haider & Ryan Trenholm, 2017. "Valuing the Willingness-to-Pay for Sustainable Seafood: Integrated Multitrophic versus Closed Containment Aquaculture," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 65(1), pages 93-117, March.
    10. Carson, Richard T. & Czajkowski, Mikołaj, 2019. "A new baseline model for estimating willingness to pay from discrete choice models," Journal of Environmental Economics and Management, Elsevier, vol. 95(C), pages 57-61.
    11. Nguyen Tien Thong & Hans Stubbe Solgaard & Wolfgang Haider & Eva Roth & Lars Ravn†Jonsen, 2018. "Using labeled choice experiments to analyze demand structure and market position among seafood products," Agribusiness, John Wiley & Sons, Ltd., vol. 34(2), pages 163-189, March.
    12. Roberto, C.A. & Agnew, H. & Brownell, K.D., 2009. "An observational study of consumers' accessing of nutrition information in chain restaurants," American Journal of Public Health, American Public Health Association, vol. 99(5), pages 820-821.
    13. Manning, Louise & Soon, Jan Mei, 2014. "Developing systems to control food adulteration," Food Policy, Elsevier, vol. 49(P1), pages 23-32.
    14. Soley, Graham & Hu, Wuyang & Vassalos, Michael, 2019. "Willingness to Pay for Shrimp with Homegrown by Heroes, Community-Supported Fishery, Best Aquaculture Practices, or Local Attributes," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 51(4), pages 606-621, November.
    15. Tonsor, Glynn T. & Schroeder, Ted C. & Fox, John A. & Biere, Arlo W., 2005. "European Preferences for Beef Steak Attributes," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 30(2), pages 1-14, August.
    16. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    17. 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.
    18. Robert Fonner, 2015. "Willingness to Pay for Multiple Seafood Labels in a Niche Market," Marine Resource Economics, University of Chicago Press, vol. 30(1), pages 51-70.
    19. David A. Hensher & William H. Greene, 2011. "Valuation of Travel Time Savings in WTP and Preference Space in the Presence of Taste and Scale Heterogeneity," Journal of Transport Economics and Policy, University of Bath, vol. 45(3), pages 505-525, September.
    20. Holland, Daniel & Wessells, Cathy R., 1998. "Predicting Consumer Preferences for Fresh Salmon: The Influence of Safety Inspection and Production Method Attributes," Agricultural and Resource Economics Review, Cambridge University Press, vol. 27(1), pages 1-14, April.
    21. Johnston, Robert J. & Roheim, Cathy A. & Donath, Holger & Asche, Frank, 2001. "Measuring Consumer Preferences For Ecolabeled Seafood: An International Comparison," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 26(1), pages 1-20, July.
    22. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    23. Irene Brambilla & Guido Porto & Alessandro Tarozzi, 2012. "Adjusting to Trade Policy: Evidence from U.S. Antidumping Duties on Vietnamese Catfish," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 304-319, February.
    24. 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.
    25. Zilberman, David & Kaplan, Scott & Gordon, Ben, 2018. "The political economy of labeling," Food Policy, Elsevier, vol. 78(C), pages 6-13.
    26. Silva, Andres & Nayga, Rodolfo M., Jr. & Campbell, Benjamin L. & Park, John L., 2011. "Revisiting Cheap Talk with New Evidence from a Field Experiment," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 36(2), pages 1-12, August.
    27. Nguyen, Ly & Gao, Zhifeng & Anderson, James L. & House, Lisa A., 2022. "The Impacts of Covid-19 on Consumers’ Willingness to Pay for Information Transparency at Casual and Fine Dining Restaurants," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322463, Agricultural and Applied Economics Association.
    28. Gao, Zhifeng & House, Lisa & Bi, Xiang, 2016. "Impact of satisficing behavior in online surveys on consumer preference and welfare estimates," Food Policy, Elsevier, vol. 64(C), pages 26-36.
    29. Jungsil Choi & Yexin Jessica Li & Adriana Samper & Vicki G MorwitzEditor & Margaret C CampbellEditor & Lisa E BoltonAssociate Editor, 2019. "The Influence of Health Motivation and Calorie Ending on Preferences for Indulgent Foods," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 46(3), pages 606-619.
    30. Zhifeng Gao & Lisa A. House & Jing Xie, 2016. "Online Survey Data Quality and Its Implication for Willingness-to-Pay: A Cross-Country Comparison," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(2), pages 199-221, June.
    31. Alexis Gutierrez & Thomas F. Thornton, 2014. "Can Consumers Understand Sustainability through Seafood Eco-Labels? A U.S. and UK Case Study," Sustainability, MDPI, vol. 6(11), pages 1-23, November.
    32. Bliemer, Michiel C.J. & Rose, John M., 2010. "Construction of experimental designs for mixed logit models allowing for correlation across choice observations," Transportation Research Part B: Methodological, Elsevier, vol. 44(6), pages 720-734, July.
    33. Thủy, Phạm Thị Thanh & Flaaten, Ola & Skonhoft, Anders, 2019. "Middlemen: good for resources and fishermen?," Environment and Development Economics, Cambridge University Press, vol. 24(5), pages 437-456, October.
    34. James, Sallie & Burton, Michael P., 2003. "Consumer preferences for GM food and other attributes of the food system," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 47(4), pages 1-18.
    35. Xiang Bi & Lisa House & Zhifeng Gao, 2016. "Impacts of Nutrition Information on Choices of Fresh Seafood Among Parents," Marine Resource Economics, University of Chicago Press, vol. 31(3), pages 355-372.
    36. Smith, Travis A. & Valizadeh, Pourya & Lin, Biing-Hwan & Coats, Ellen, 2019. "What is driving increases in dietary quality in the United States?," Food Policy, Elsevier, vol. 86(C), pages 1-1.
    37. 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.
    38. Sarrias, Mauricio, 2016. "Discrete Choice Models with Random Parameters in R: The Rchoice Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 74(i10).
    39. Mancino, Lisa & Todd, Jessica & Lin, Biing-Hwan, 2009. "Separating what we eat from where: Measuring the effect of food away from home on diet quality," Food Policy, Elsevier, vol. 34(6), pages 557-562, December.
    40. 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.
    41. Jacquet, Jennifer L. & Pauly, Daniel, 2008. "Trade secrets: Renaming and mislabeling of seafood," Marine Policy, Elsevier, vol. 32(3), pages 309-318, May.
    42. Stewart, Hayden & Blisard, Noel & Bhuyan, Sanjib & Nayga, Rodolfo M., Jr., 2004. "The Demand For Food Away From Home: Full-Service Or Fast Food?," Agricultural Economic Reports 33953, United States Department of Agriculture, Economic Research Service.
    43. Xumin Zhang & Yingkai Fang & Zhifeng Gao, 2020. "Accounting for Attribute Non-attendance (ANA) in Chinese Consumers’ Away-from-Home Sustainable Salmon Consumption," Marine Resource Economics, University of Chicago Press, vol. 35(3), pages 263-284.
    44. ., 2019. "Banks and the quantity theory: Wicksell and Fisher," Chapters, in: Banks and Finance in Modern Macroeconomics, chapter 2, pages 24-41, Edward Elgar Publishing.
    45. Hallstein, Eric & Villas-Boas, Sofia B., 2013. "Can household consumers save the wild fish? Lessons from a sustainable seafood advisory," Journal of Environmental Economics and Management, Elsevier, vol. 66(1), pages 52-71.
    46. Chenyi He & Lijia Shi & Zhifeng Gao & Lisa House, 2020. "The impact of customer ratings on consumer choice of fresh produce: A stated preference experiment approach," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 68(3), pages 359-373, September.
    47. Yuko Onozaka & Dawn Thilmany Mcfadden, 2011. "Does Local Labeling Complement or Compete with Other Sustainable Labels? A Conjoint Analysis of Direct and Joint Values for Fresh Produce Claim," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(3), pages 689-702.
    48. Cathy R. Wessells & Robert J. Johnston & Holger Donath, 1999. "Assessing Consumer Preferences for Ecolabeled Seafood: The Influence of Species, Certifier, and Household Attributes," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(5), pages 1084-1089.
    49. Roheim, Cathy A. & Zhang, Dengjun, 2018. "Sustainability certification and product substitutability: Evidence from the seafood market," Food Policy, Elsevier, vol. 79(C), pages 92-100.
    50. Kessels, Roselinde & Goos, Peter & Vandebroek, Martina, 2008. "Optimal designs for conjoint experiments," Computational Statistics & Data Analysis, Elsevier, vol. 52(5), pages 2369-2387, January.
    51. Michaela Fox & Mike Mitchell & Moira Dean & Christopher Elliott & Katrina Campbell, 2018. "The seafood supply chain from a fraudulent perspective," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 10(4), pages 939-963, August.
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    More about this item

    Keywords

    Restaurant; Consumer; Information; Transparency; Preferences; Willingness-to-pay; D12; D90; Q13;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness

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