Hostname: page-component-cd9895bd7-jkksz Total loading time: 0 Render date: 2024-12-27T11:31:21.803Z Has data issue: false hasContentIssue false
  • English
  • Français

Did Wine Consumption Change During the COVID-19 Lockdown in France, Italy, Spain, and Portugal?

Published online by Cambridge University Press:  04 October 2021

Magalie Dubois Open the ORCID record for Magalie Dubois [Opens in a new window] ,
Lara Agnoli Open the ORCID record for Lara Agnoli [Opens in a new window] ,
Jean-Marie Cardebat ,
Raúl Compés ,
Benoit Faye ,
Bernd Frick Open the ORCID record for Bernd Frick [Opens in a new window] ,
Davide Gaeta ,
Eric Giraud-Héraud ,
Eric Le Fur Open the ORCID record for Eric Le Fur [Opens in a new window]  and
Florine Livat
...Show all authors
Magalie Dubois*
Affiliation:
Université de Bordeaux, Burgundy School of Business, CEREN, EA 7477, Université Bourgogne Franche Comté, 29 rue Sambin, BP 50608, 21006 Dijon Cedex, France
Lara Agnoli
Affiliation:
Burgundy School of Business, CEREN, EA 7477, Université Bourgogne Franche Comté, 29 rue Sambin, BP 50608, 21006 Dijon Cedex, France; e-mail: lara.agnoli@bsb-education.com.
Jean-Marie Cardebat
Affiliation:
Université de Bordeaux, INSEEC School of Business and Economics, H19, quai de Bacalan, 33000 Bordeaux, France; e-mail: jean-marie.cardebat@u-bordeaux.fr.
Raúl Compés
Affiliation:
CIHEAM Zaragoza Av.Montañana 1005, 50059, Zaragoza, Spain; e-mail: raul.compes@iamz.ciheam.org.
Benoit Faye
Affiliation:
Université de Bordeaux, INSEEC School of Business and Economics, H19, quai de Bacalan, 33000 Bordeaux, France; e-mail: bfaye@inseec.com.
Bernd Frick
Affiliation:
Universität Paderborn, Management Department, D-33098 Paderborn, Germany; e-mail: bernd.frick@uni-paderborn.de.
Davide Gaeta
Affiliation:
Università di Verona, Department of Business Administration, Via Cantarane, 24, Polo Santa Marta, 37129 Verona, Italy; e-mail: gaeta@univr.it.
Eric Giraud-Héraud
Affiliation:
INRAE-GREThA, ISVV, 210 Chemin de Leysotte, CS 50008, 33 882 Villenave d'Ornon Cedex, France; e-mail: eric.giraud-heraud@u-bordeaux.fr.
Eric Le Fur
Affiliation:
Université de Bordeaux, INSEEC School of Business and Economics, H19, quai de Bacalan, 33000 Bordeaux, France; e-mail: elefur@inseec.com.
Florine Livat
Affiliation:
KEDGE Business School, Campus Talence, 680 Cours de la Libération, 33405 Talence, France; e-mail: florine.livat@kedgebs.com.
Giulio Malorgio
Affiliation:
Università di Bologna, Department of Agricultural and Food Sciences, Via Fanin 50, 40127 Bologna, Italy; e-mail: giulio.malorgio@unibo.it.
Philippe Masset
Affiliation:
Ecole Hôtelière de Lausanne, HES-SO/University of Applied Sciences Western Switzerland, Route de Cojonnex 18, 1000 Lausanne 25, Switzerland; e-mail: philippe.masset@ehl.ch.
Giulia Meloni
Affiliation:
University of Leuven (KU Leuven), LICOS Center for Institutions and Economic Performance, Department of Economics, Waaistraat 6, Box 3511, B-3000 Leuven, Belgium; e-mail: giulia.meloni@kuleuven.be.
Vicente Pinilla
Affiliation:
Universidad Zaragoza, Faculty of Economics and Business Studies, and Instituto Agroalimentario de Aragón (IA2), Gran Via 4, 50005 Zaragoza, Spain; e-mail: vpinilla@unizar.es.
João Rebelo
Affiliation:
Universidade de Trás-os-Montes e Alto Douro, Quinta dos Prados, 5000, 801, Vila Real, Portugal; e-mail: jrebelo@utad.pt.
Luca Rossetto
Affiliation:
University of Padova, Department of Land and Agroforestry Systems (Tesaf), via Universita’ 16, Legnaro (Padova), 35030, Italy; e-mail: luca.rossetto@unipd.it.
Günter Schamel
Affiliation:
Free University of Bozen-Bolzano, Faculty of Economics and Management, Universitätsplatz 1, I-39100, Bozen-Bolzano, Italy; e-mail: guenter.schamel@unibz.it.
Katrin Simon-Elorz
Affiliation:
Universidad Pública de Navarra, INARBE Department of Business Administration, Campus Arrosadia, 31006 Pamplona, Spain; e-mail: katrin@unavarra.es.
*
e-mail: magalie.dubois@u-bordeaux.fr (corresponding author).
Get access Rights & Permissions [Opens in a new window]

Abstract

This article documents how the COVID-19 crisis has affected the drinking behavior of Latin European wine consumers. Using a large online survey conducted during the first lockdown in France, Italy, Portugal, and Spain (n = 7,324 individuals), we reconstruct the purchasing and consumption patterns of the respondents. The number of people who maintained their wine consumption frequency is significantly higher than those who increased or decreased their consumption. Wine consumption frequency held up better than other types of alcohol (beer and spirits). We analyze heterogeneities among countries and individuals by employing the Marascuilo procedure and an ordered logit model. The latter identifies the impact of demographic, commercial, and psychosocial factors on wine consumption frequency. The results shed light on changes in wine consumer behavior during the first lockdown and consider possible post-lockdown trends that could be useful to industry players. (JEL Classifications: D5, L66, Q1)

Keywords

winebeerspiritsCOVID-19lockdownconsumer behaviorconsumption of alcoholic beverages
Type
Articles
Information
Journal of Wine Economics , Volume 16 , Issue 2 , May 2021 , pp. 131 - 168
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of American Association of Wine Economists

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

The authors acknowledge the comments and suggestions made by the editor (Karl Storchmann) and an anonymous referee.

References

Akerlind, I., and Hörnquist, J. O. (1992). Loneliness and alcohol abuse: A review of evidences of an interplay. Social Science and Medicine, 34(4), 405–414.CrossRefGoogle ScholarPubMed
Allen, I. E., and Seaman, C. A. (2007). Likert scales and data analyses. Quality Progress, 40(7), 64–65.Google Scholar
American Psychiatric Association, (2013). Diagnostic and statistical manual of mental disorders: DSM-5™ (5th ed.). Washington: American Psychiatric Publishing, Inc.CrossRefGoogle Scholar
Arpaci, I., Karataş, K., and Baloğlu, M. (2020). The development and initial tests for the psychometric properties of the COVID-19 Phobia Scale (C19P-S). Personality and Individual Differences, 164, 110108. https://doi.org/10.1016/j.paid.2020.110108CrossRefGoogle Scholar
Balaratnasingam, S., and Janca, A. (2006). Mass hysteria revisited. Current Opinion in Psychiatry, 19(2), 171–174. http://dx.doi.org/10.1097/01.yco.0000214343.59872.7aCrossRefGoogle ScholarPubMed
Banerjee, D., and Rai, M. (2020). Social isolation in Covid-19: The impact of loneliness. International Journal of Social Psychiatry, 66(6), 525–527.CrossRefGoogle ScholarPubMed
Barnes, Moewaka, McCreanor, H., Goodwin, T., Lyons, I., Griffin, A., and Hutton, C., F. (2016). Alcohol and social media: Drinking and drunkenness while online. Critical Public Health, 26(1), 62–76.CrossRefGoogle Scholar
Bartone, P. T., Johnsen, B. H., Eid, J., Hystad, S. W., and Laberg, J. C. (2017). Hardiness, avoidance coping, and alcohol consumption in war veterans: A moderated-mediation study. Stress and Health, 33(5), 498–507.CrossRefGoogle ScholarPubMed
Chavis, L., and Leslie, P. (2009). Consumer boycotts: The impact of the Iraq war on French wine sales in the US. Quantitative Marketing and Economics, 7(1), 37–67.CrossRefGoogle Scholar
Claudel, P. (1956). In Time of Trouble. London: Rupert Hart-Davis.Google Scholar
Clay, J. M., and Parker, M. O. (2020). Alcohol use and misuse during the COVID-19 pandemic: A potential public health crisis? Lancet Public Health, 5(5), e259.CrossRefGoogle ScholarPubMed
Cooper, M. L., Frone, M. R., Russell, M., and Mudar, P. (1995). Drinking to regulate positive and negative emotions: A motivational model of alcohol use. Journal of Personality and Social Psychology, 69(5), 990–1005.CrossRefGoogle ScholarPubMed
Dai, M., Tao, L., Chen, Z., Tian, Z., Guo, X., Allen-Gipson, D. S., Tan, R., Li, R., Chai, L., Ai, F., and Liu, M. (2020). Influence of cigarettes and alcohol on the severity and death of COVID-19: A multicenter retrospective study in Wuhan, China. Frontiers in Physiology, 11, 588553. https://doi.org/10.3389/fphys.2020.588553CrossRefGoogle ScholarPubMed
Forbes, S. L., and Wilson, M. M. (2018). Resilience and response of wine supply chains to disaster: The Christchurch earthquake sequence. International Review of Retail, Distribution and Consumer Research, 28(5), 472–489.CrossRefGoogle Scholar
Gergaud, O., Livat, F., and Song, H. (2018). Terrorism and wine tourism: The case of museum attendance. Journal of Wine Economics, 13(4), 375–383.CrossRefGoogle Scholar
Guan, W. J., Ni, Z. Y., Hu, Y., Liang, W. H., Ou, C. Q., Liu, L., Shan, H., Lei, C. L., Hui, D. S. C., Du, B., Li, L. J., Zeng, G., Yuen, K. W., Chen, R. C., Tang, C. L., Wang, T., Chen, P. Y., Xiang, J., Li, S. Y., Wang, J. L., Liang, Z. J., Peng, Y. X., Wei, L., Liu, Y., Hu, Y. H., Peng, P., Wang, J. M., Liu, J. Y., Chen, Z., Li, G., Zheng, Z. J., Qiu, S. Q., Luo, J., Ye, C. J., Zhu, S. Y., and Zhong, N. S. (2020). Clinical characteristics of 2019 novel coronavirus infection in China. New England Journal of Medecine, 382(18),1708–1720. https://doi.org/10.1056/NEJMoa2002032CrossRefGoogle ScholarPubMed
Gustavsen, G. W., and Rickertsen, K. (2019). Personality traits and consumption of wine and beer. Journal of Wine Economics, 14(4), 392–399.CrossRefGoogle Scholar
Holmes, E. A., O'Connor, R. C., Perry, V. H., Tracey, I., Wessely, S., Arseneault, L., Ballard, C., Christensen, H., Cohen Silver, R., Everall, I., Ford, T., John, A., Kabir, T., King, K., Madan, I., Michie, S., Przybylski, A. K., Shafran, R., Sweeney, A., Worthman, C. M., Yardley, L., Cowan, K., Cope, C., Hotopf, M., and Bullmore, E. (2020). Multidisciplinary research priorities for the COVID-19 pandemic: A call for action for mental health science. Lancet Psychiatry, 7(6), 547–560.CrossRefGoogle Scholar
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., Cheng, Z., Yu, T., Xia, J., Wei, Y., Wu, W., Xie, X., Yin, W., Li, H., Liu, M., Xiao, Y., Gao, H., Guo, L., Xie, J., Wang, G., Jiang, R., Gao, Z., Jin, Q., Wang, J., and Cao, B. (2020). Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet, 395(10223), 497–506.CrossRefGoogle ScholarPubMed
Karns-Wright, T. E., Dougherty, D. M., Hill-Kapturczak, N., Mathias, C. W., and Roache, J. D. (2018). The correspondence between transdermal alcohol monitoring and daily self-reported alcohol consumption. Addictive Behaviors, 85, 147–152. https://doi.org/10.1016/j.addbeh.2018.06.006CrossRefGoogle ScholarPubMed
Keyes, K., Hatzenbuehler, M., Grant, B., and Hasin, D. (2012). Stress and alcohol: Epidemiologic evidence. Alcohol Research, 34(4), 391–400. https://pubmed.ncbi.nlm.nih.gov/23584105/Google ScholarPubMed
Liu, C. H., Zhang, E., Wong, G. T. F., and Hyun, S. (2020). Factors associated with depression, anxiety, and PTSD symptomatology during the COVID-19 pandemic: Clinical implications for US young adult mental health. Psychiatry Research, 290, 113172. https://doi.org/10.1016/j.psychres.2020.113172CrossRefGoogle Scholar
Long, J. S., and Freese, J. (2014). Regression Models for Categorical Dependent Variables Using Stata (3rd ed.). College Station, TX: Stata Press.Google Scholar
Marascuilo, L. A., and Serlin, R. C. (1988). Statistical Methods for the Social and Behavioral Sciences. New York: W. H. Freeman.Google Scholar
Marston, H. R., Musselwhite, C., and Hadley, R. A. (2020). COVID-19 vs Social Isolation: The impact technology can have on communities, social connections and citizens. The British Society of Gerontology, blog Ageing Issues 1–6, March 18. Available at https://ageingissues.wordpress.com/2020/03/18/covid-19-vs-social-isolation-the-impact-technology-can-have-on-communities-social-connections-and-citizens/.Google Scholar
Midanik, L. (1982). The validity of self-reported alcohol consumption and alcohol problems: A literature review. British Journal of Addiction, 77, 357–382. https://doi.org/10.1111/j.1360-0443.1982.tb02469.xCrossRefGoogle ScholarPubMed
Pappas, G., Kiriaze, I. J., Giannakis, P., and Falagas, M. E. (2009). Psychosocial consequences of infectious diseases. Clinical Microbiology and Infection, 15(8), 743–747.CrossRefGoogle ScholarPubMed
Peters, A., Rospleszcz, S., Greiner, K. H., Dellavalle, M., and Berger, K. (2020). The impact of the Covid-19 pandemic on self-reported health. Deutsches Ärzteblatt International, 117, 861–867. https://doi.org/10.3238/arztebl.2020.0861Google ScholarPubMed
Plümper, T., and Neumayer, E. (2020). Lockdown policies and the dynamics of the first wave of the Sars-CoV-2 pandemic in Europe. Journal of European Public Policy, 1–21. https://doi.org/10.1080/13501763.2020.1847170CrossRefGoogle Scholar
Rodríguez-Rey, R., Garrido-Hernansaiz, H., and Collado, S. (2020). Psychological impact of COVID-19 in Spain: Early data report. Psychological Trauma: Theory, Research, Practice, and Policy, 12(5), 550–552. http://dx.doi.org/10.1037/tra0000943CrossRefGoogle ScholarPubMed
Rosenman, R., Tennekoon, V., and Hill, L. G. (2011). Measuring bias in self-reported data. International Journal of Behavioural and Healthcare Research, 2(4), 320–332.CrossRefGoogle ScholarPubMed
Simons, J. S., Wills, T. A., Emery, N. N., and Marks, R. M. (2015). Quantifying alcohol consumption: Self-report, transdermal assessment, and prediction of dependence symptoms. Addictive Behaviors, 50, 205–212. https://doi.org/10.1016/j.addbeh.2015.06.042CrossRefGoogle ScholarPubMed
Smith, D. E., Wesson, D. R., and Apter-Marsh, M. (1984). Cocaine- and alcohol-induced sexual dysfunction in patients with addictive disease. Journal of Psychoactive Drugs, 16(4), 359–361. http://dx.doi.org/10.1080/02791072.1984.10472306CrossRefGoogle ScholarPubMed
Soraci, P., Ferrari, A., Abbiati, F. A., Del Fante, E., De Pace, R., Urso, A., and Griffiths, M. D. (2020). Validation and psychometric evaluation of the Italian version of the fear of COVID-19 scale. International Journal of Mental Health and Addiction, 1–10. https://doi.org/10.1007/s11469-020-00277-1Google ScholarPubMed
Stockwell, T., Zhao, J., and Macdonald, S. (2014). Who under-reports their alcohol consumption in telephone surveys and by how much? An application of the “yesterday method” in a national Canadian substance use survey. Addiction, 109, 1657–1666. https://doi.org/10.1111/add.12609CrossRefGoogle Scholar
Thach, L. (2018). The amazing resilience of wine grape vineyards. Wine Economics and Policy, 7(1), 1–2.CrossRefGoogle Scholar
Wittwer, G., and Anderson, K. (2021). COVID-19 and global beverage markets: Implications for wine. Journal of Wine Economics, 16(2).10.1017/jwe.2021.13CrossRefGoogle Scholar
Supplementary material: File

Dubois et al. supplementary material

Dubois et al. supplementary material

Download Dubois et al. supplementary material(File)
File 149.2 KB