IDEAS home Printed from https://ideas.repec.org/a/ags/jlofdr/274594.html
   My bibliography  Save this article

Consumer Willingness to Pay for Local Wines and Shopping Outlet Preferences

Author

Listed:
  • Everett, Connie
  • Jensen, Kim
  • Hughes, David
  • Boyer, Chris

Abstract

Tennessee recently changed its wine-marketing laws to allow wine sales in food-retailing facilities, and industry implications are still emerging. Using data from 500 wine consumers in Tennessee, this study measures willingness to pay for a Tennessee-labeled wine sold from the anticipated retail outlet. Results show consumers would pay a premium for a Tennessee red or white wine. Older females are more likely to anticipate purchasing Tennessee wine at grocery stores, convenience-oriented lower-income consumers at big box stores, and price-conscious consumers at warehouse clubs.

Suggested Citation

  • Everett, Connie & Jensen, Kim & Hughes, David & Boyer, Chris, 2017. "Consumer Willingness to Pay for Local Wines and Shopping Outlet Preferences," Journal of Food Distribution Research, Food Distribution Research Society, vol. 48(3), March.
    • Handle: RePEc:ags:jlofdr:274594
    DOI: 10.22004/ag.econ.274594
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/274594/files/JFDR_48.3_03_Jensen.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.274594?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. Krinsky, Itzhak & Robb, A Leslie, 1986. "On Approximating the Statistical Properties of Elasticities," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 715-719, November.
    2. Lorenzo Cappellari & Stephen P. Jenkins, 2003. "Multivariate probit regression using simulated maximum likelihood," Stata Journal, StataCorp LP, vol. 3(3), pages 278-294, September.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Hughes, David W., 2020. "Analysis of Tennessee Wine and Grape Industry Trends, 2020," Extension Reports 304762, University of Tennessee, Department of Agricultural and Resource Economics.
    2. Jensen, Kimberly L. & Hughes, David L. & DeLong, Karen L. & Trejo-Pech, Carlos O. & Gill, Mackenzie B., 2021. "Factors Influencing Tennessee Adults’ Craft Hard Apple Cidery Visit Expenditures and Travel Distance," Journal of Food Distribution Research, Food Distribution Research Society, vol. 52(2), July.
    3. Rihn, Alicia L. & Jensen, Kimberly & Hughes, David W., 2022. "Tennessee's Wine Industry: Consumer Perceptions, Quality Assurance Programs and Marketing Strategies," Extension Reports 319853, University of Tennessee, Department of Agricultural and Resource Economics.
    4. Alicia L. Rihn & Kimberly L. Jensen & David W. Hughes, 2022. "Consumer Perceptions of Wine Quality Assurance Programs: An Opportunity for Emerging Wine Markets," Sustainability, MDPI, vol. 14(4), pages 1-16, February.

    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. Martínez-Espiñeira, Roberto & Lyssenko, Nikita, 2011. "Correcting for the endogeneity of pro-environment behavioral choices in contingent valuation," Ecological Economics, Elsevier, vol. 70(8), pages 1435-1439, June.
    2. Lyssenko, Nikita & Martinez-Espineira, Roberto, 2009. "`Been there done that': Disentangling option value effects from user heterogeneity when valuing natural resources with a use component," MPRA Paper 21976, University Library of Munich, Germany, revised 08 Apr 2010.
    3. Macario Rodríguez‐Entrena & Anastasio J. Villanueva & José A. Gómez‐Limón, 2019. "Unraveling determinants of inferred and stated attribute nonattendance: Effects on farmers’ willingness to accept to join agri‐environmental schemes," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 67(1), pages 31-52, March.
    4. Zhifeng Gao & Ted C. Schroeder, 2009. "Consumer responses to new food quality information: are some consumers more sensitive than others?," Agricultural Economics, International Association of Agricultural Economists, vol. 40(3), pages 339-346, May.
    5. Yehouenou, Lauriane S. & Grogan, Kelly A. & Yehouenou, Lauriane S. & Morgan, Stephen N., 2021. "Preferences For Payment For Ecosystems Services Attributes In Forest Management," 2021 Annual Meeting, August 1-3, Austin, Texas 313934, Agricultural and Applied Economics Association.
    6. Gallardo, R. Karina & Wang, Qianqian, 2013. "Willingness to Pay for Pesticides' Environmental Features and Social Desirability Bias: The Case of Apple and Pear Growers," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 38(1), pages 1-16, April.
    7. Jae Kim & Seung-Nam Kim & Soogwan Doh, 2015. "The distance decay of willingness to pay and the spatial distribution of benefits and costs for the ecological restoration of an urban branch stream in Ulsan, South Korea," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(3), pages 835-853, May.
    8. Vossler, Christian A. & Kerkvliet, Joe & Polasky, Stephen & Gainutdinova, Olesya, 2003. "Externally validating contingent valuation: an open-space survey and referendum in Corvallis, Oregon," Journal of Economic Behavior & Organization, Elsevier, vol. 51(2), pages 261-277, June.
    9. 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.
    10. Bateman, Ian J. & Langford, Ian H. & Jones, Andrew P. & Kerr, Geoffrey N., 2001. "Bound and path effects in double and triple bounded dichotomous choice contingent valuation," Resource and Energy Economics, Elsevier, vol. 23(3), pages 191-213, July.
    11. Ke Liu & Zhenhong Qi & Li Tan & Caiyan Yang & Canwei Hu, 2023. "Mixed Use of Chemical Pesticides and Biopesticides among Rice–Crayfish Integrated System Farmers in China: A Multivariate Probit Approach," Agriculture, MDPI, vol. 13(8), pages 1-17, August.
    12. Marina Rybalka, 2015. "The innovative input mix. Assessing the importance of R&D and ICT investments for firm performance in manufacturing and services," Discussion Papers 801, Statistics Norway, Research Department.
    13. Sung-Min Kim & Ju-Hee Kim & Seung-Hoon Yoo, 2020. "Households’ Willingness to Pay for Substituting Natural Gas with Renewable Methane: A Contingent Valuation Experiment in South Korea," Energies, MDPI, vol. 13(12), pages 1-13, June.
    14. Fernandez-Cornejo, Jorge & Wechsler, Seth James, 2012. "Fifteen Years Later: Examining the Adoption of Bt Corn Varieties by U.S. Farmers," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124257, Agricultural and Applied Economics Association.
    15. Chaikaew, Pasicha & Hodges, Alan W. & Grunwald, Sabine, 2017. "Estimating the value of ecosystem services in a mixed-use watershed: A choice experiment approach," Ecosystem Services, Elsevier, vol. 23(C), pages 228-237.
    16. Choi, Andy S., 2013. "Nonmarket values of major resources in the Korean DMZ areas: A test of distance decay," Ecological Economics, Elsevier, vol. 88(C), pages 97-107.
    17. Richard G. Newell & Juha Siikamäki, 2014. "Nudging Energy Efficiency Behavior: The Role of Information Labels," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 1(4), pages 555-598.
    18. Zawojska, Ewa & Czajkowski, Mikotaj, 2017. "Are preferences stated in web vs. personal interviews different? A comparison of willingness to pay results for a large multi-country study of the Baltic Sea eutrophication reduction," Annual Meeting, 2017, June 18-21, Montreal, Canada 258604, Canadian Agricultural Economics Society.
    19. Garcia-Jimenez, Carlos I. & Mishra, Ashok K. & Paxton, Kenneth W. & Lambert, Dayton M. & Velandia, Margarita M. & Rejesus, Roderick M. & Segarra, Eduardo, 2011. "The Relevance of Information Sources on Adoption of Precision Farming Technologies by Cotton Producers," 2011 Annual Meeting, February 5-8, 2011, Corpus Christi, Texas 98123, Southern Agricultural Economics Association.
    20. Brox, James A. & Fader, Christina, 1996. "Production elasticity differences between just-in-time and non-just-in-time users in the automotive parts industry," The North American Journal of Economics and Finance, Elsevier, vol. 7(1), pages 77-90.

    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:jlofdr:274594. 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/fdrssea.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.