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Evolving Consumption Patterns in the U.S. Alcohol Market: Disaggregated Spatial Analysis

Published online by Cambridge University Press:  24 October 2019

Jarrett Hart  and
Julian M. Alston
Jarrett Hart
Affiliation:
Department of Agricultural and Resource Economics, University of California-Davis, Davis, CA95616; e-mail: [email protected].
Julian M. Alston
Affiliation:
Department of Agricultural and Resource Economics and Robert Mondavi Institute Center for Wine Economics, University of California-Davis, Davis, CA95616; e-mail: [email protected].
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Abstract

Global consumption patterns for alcoholic beverages are evolving, with some convergence in per capita consumption among nations as traditionally beer-drinking nations increase their consumption of wine and, conversely, wine-consuming nations shift towards beer. This article explores regional patterns of alcoholic beverage consumption within the United States. One purpose is to see if similar patterns of spatial convergence in consumption patterns can be observed within countries as have been documented in international comparisons. A more fundamental purpose is to explore the converse question and seek to better understand the persistent differences in alcoholic beverage consumption among groups. These issues are addressed using annual U.S. national and state-level data over four decades and, for the more recent period, supermarket scanner data at finer scales of geopolitical aggregation. Socioeconomic and other demographic variables appear to play significant roles in accounting for the spatial differences in consumption patterns, although the details vary across different models and data sets. The analysis of demand using less-aggregative data for a shorter time period reveals some shortcomings in the corresponding analysis based on state-level data over a longer time period, but with poorly measured prices. These findings might extrapolate to studies making international comparisons using national aggregate data. (JEL Classifications: D12, L66)

Keywords

demand modelsbeer and winesocioeconomic characteristicsspatial patternsUnited States
Type
Articles
Information
Journal of Wine Economics , Volume 15 , Issue 1 , February 2020 , pp. 5 - 41
Copyright
Copyright © American Association of Wine Economists 2019

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Footnotes

The authors gratefully acknowledge helpful comments and advice from Kym Anderson, Tim Beatty, James Fogarty, Jim Lapsley, an anonymous reviewer, and various participants at workshops and conferences.

References

Alston, J. M., Andersen, M. A., James, J. S., and Pardey, P. G. (2010). Persistence Pays: U.S. Agricultural Productivity Growth and the Benefits from Public R&D Spending. New York, NY: Springer.CrossRefGoogle Scholar
Anderson, K., Meloni, G., and Swinnen, J. (2018). Global alcohol markets: Evolving consumption patterns, regulations, and industrial organizations. Annual Review of Resource Economics, 10, 105–132.CrossRefGoogle Scholar
Anderson, K., and Pinilla, V. (eds.) (2018). Wine's Evolving Globalization: Comparative Histories of the Old and New World. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Brewers Association. (2018). National beer sales & production data. Boulder, CO: Brewers Association. Available at https://www.brewersassociation.org/statistics/national-beer-sales-production-data/.Google Scholar
Capps, O. Jr., and Schmitz, J. D. (1991). A recognition of health and nutrition factors in food demand analysis. Western Journal of Agricultural Economics, 16(1), 21–35.Google Scholar
Carpentier, A., and Guyomard, H. (2001). Unconditional elasticities in two-stage demand systems: An approximate solution. American Journal of Agricultural Economics, 83(1), 222–229.CrossRefGoogle Scholar
Centers for Disease Control and Prevention. (2017). Overweight & obesity. Atlanta, GA: U.S. Department of Health and Human Services. Available from https://www.cdc.gov/obesity/data/databases.html.Google Scholar
Clements, K. W., and Selvanathan, E. A. (1988). The Rotterdam demand model and its application in marketing. Marketing Science, 7(1), 60–75.CrossRefGoogle Scholar
Clements, K. W., and Selvanathan, S. (1991). The economic determinants of alcohol consumption. Australian Journal of Agricultural Economics, 35(2), 209–231.CrossRefGoogle Scholar
Colen, L., and Swinnen, J. (2016). Economic growth, globalisation and beer consumption. Journal of Agricultural Economics, 67(1), 186–207.CrossRefGoogle Scholar
Edgerton, D. L. (1997). Weak separability and the estimation of elasticities in multistage demand systems. American Journal of Agricultural Economics, 79(1), 62–79.CrossRefGoogle Scholar
Fogarty, J., and Parameswaran, G. (2017). Alcohol sin taxes. Working Paper 1704, Agricultural and Resource Economics, University of Western Australia. Available at http://ageconsearch.umn.edu/record/257211/files/WP1704.pdfGoogle Scholar
Fogarty, J., and Voon, D. (2018). Alcohol consumption in the United States: Past, present, and future trends. Journal of Wine Economics, 13(2), 121–143.CrossRefGoogle Scholar
Freebairn, J. (2010). Special taxation of alcoholic beverages to correct market failures. Economic Papers: A Journal of Applied economics and Policy, 29(2), 200–214.CrossRefGoogle Scholar
Github. (2017). US president county-level election results from 2012 and 2016. San Francisco, CA: Github. Available at https://github.com/tonmcg/County_Level_Election_Results_12-16.Google Scholar
Haughwout, S. P., and Slater, M. E. (2018). Apparent per capita alcohol consumption: National, state, and regional trends, 1977–2016. National Institutes of Health, National Institute on Alcohol Abuse and Alcoholism, Surveillance Report No. 110. Available from https://pubs.niaaa.nih.gov/publications/surveillance110/CONS16.pdf.Google Scholar
Hart, J., and Alston, J. M. (2019). Persistent patterns in the U.S. alcohol market: Looking at the link between demographics and drinking. Journal of Wine Economics, 14(4). DOI:10.1017/jwe.2019.26CrossRefGoogle Scholar
Holmes, A. J., and Anderson, K. (2017). Convergence in national alcohol consumption patterns: New global indicators. Journal of Wine Economics, 12(2), 117–148.CrossRefGoogle Scholar
LaFrance, J. T. (1991). When is expenditure “exogenous” in separable demand models? Western Journal of Agricultural Economics, 16(1), 1–14.Google Scholar
McCullough, M., Berning, J., and Hanson, J. L. (2019). Learning by brewing: Homebrewing legalization and the brewing industry. Contemporary Economic Policy, 37(1), 25–39.CrossRefGoogle Scholar
Mills, T. C. (2018). Is there convergence in national alcohol consumption patterns? Evidence from a compositional time series approach. Journal of Wine Economics, 13(1), 92–98.CrossRefGoogle Scholar
National Institutes of Health/National Institute on Alcohol Abuse and Alcoholism (NIH/NIAAA). (2009). Surveillance Reports. Available from https://pubs.niaaa.nih.gov/publications/surveillance.htm.Google Scholar
Okrent, A. M., and Alston, J. M. (2011). Demand for Food in the United States: A Review of Literature, Evaluation of Previous Estimates, and Presentation of New Estimates of Demand. Giannini Foundation Monograph Series No. 48. Berkeley, CA: Giannini Foundation of Agricultural Economics.Google Scholar
Selvanathan, E. A. (1991). Cross-country alcohol consumption comparison: An application of the Rotterdam demand system. Applied Economics, 23(10), 1613–1622.CrossRefGoogle Scholar
Selvanathan, S., and Selvanathan, E. A. (2005). Empirical regularities in cross-country alcohol consumption. Economic Record, 81, S128–S142.CrossRefGoogle Scholar
Tax Foundation. (2013). Alcohol taxes. Washington, DC: Center for State Tax Policy, Tax Foundation. Available from https://taxfoundation.org/state-tax/alcohol-taxes/.Google Scholar
Theil, H. (1965). The information approach to demand analysis. Econometrica: Journal of the Econometric Society, 33(1), 67–87.CrossRefGoogle Scholar
United States Census Bureau American FactFinder. (2018). Suitland, MA: Department of Commerce. Available from https://factfinder.census.gov/faces/nav/jsf/pages/index.xhtml.Google Scholar
United States Office of the Surgeon General. (2016). Facing addiction in America: The Surgeon General's report on alcohol, drugs, and health. Washington, DC: U.S. Department of Health and Human Services (HHS). Available from https://addiction.surgeongeneral.gov/sites/default/files/surgeon-generals-report.pdf.Google Scholar
United States Department of the Treasury/Alcohol and Tobacco Tax and Trade Bureau (U.S. Treasury/TTB). (2005). Monthly statistical report—Wine, January 2005–December 2005. Washington, DC: Department of the Treasury. Available from http://www.ttb.gov/statistics/05winestats.shtml.Google Scholar
United States Department of the Treasury/Alcohol and Tobacco Tax and Trade Bureau (U.S. Treasury/TTB). (2013). American Viticultural Areas (AVAs). Washington, DC: Department of the Treasury. Available from https://www.ttb.gov/wine/ava.shtml.Google Scholar
United States Department of the Treasury, Alcohol and Tobacco, Tax and Trade Bureau (U.S. Treasury/TTB). (1984–2015). Alcohol, tobacco and firearms summary statistics, yearly wine statistics. Washington, DC: Department of the Treasury. Available from https://www.ttb.gov/wine/wine-stats.shtmlGoogle Scholar
Willett, W., Rockström, J., Loken, B., Springmann, M., Lang, T., Vermeulen, S., Jonell, M., et al. (2019). Food in the Anthropocene: The EAT–Lancet Commission on healthy diets from sustainable food systems. The Lancet, 393(10170), 447–492.CrossRefGoogle ScholarPubMed
World Health Organization (WHO). (2014). Global status report on alcohol and health. Geneva, Switzerland: World Health Organization. Available from http://www.who.int/substance_abuse/publications/global_alcohol_report/en/.Google Scholar
World Health Organization (WHO). (2015). Global health observatory data repository. Geneva, Switzerland: World Health Organization. Available from http://apps.who.int/gho/data/node.main.A1022?lang=en&showonly=GISAH.Google Scholar
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