Beverage consumption patterns in a new market economy

• Autorzy: Wojciech J. Florkowski , A. Bilgic , P. Paraskova , L.R Beuchat , M.S. Chinnan , A.V.A. Resurreccion , J. Jordanov
• Języki publikacji: EN

Abstrakty

EN

Beverage consumption reflects consumer behavior shaped by social and economic factors. Observations of beverage consumption patterns provide unique insights of interest to many decision-makers, from the marketers and distributors to public health experts. We apply count data modeling technique to data on beverage consumption frequencies and show the importance of selecting the appropriate model. The models are estimated using survey data collected from more than 2,000 households in Bulgaria. Results from nested and non-nested tests and the ability to predict zero observations suggested that the zero-inflated Poisson with heterogeneity and negative binomial models performed best. Only results of these models are discussed leading to the overall conclusion that age, employment, education and income are the core characteristics of each beverage consuming group, while gender and household characteristics such as the number of adults in the family or the presence of children together with the religion and the geographical location helped to fine tune the profile of beverage consumers. (original abstract)

Słowa kluczowe

EN

Statistical surveys; Consumption; Market economy; Econometric models; Binomial model; Negative binomial model

PL

Badania statystyczne; Konsumpcja; Gospodarka rynkowa; Modele ekonometryczne; Model dwumianowy; Model ujemny dwumianowy

• Czasopismo: The Poznań University of Economics Review
• Rocznik: 2006
• Tom: 6
• Numer: nr 1
• Strony: 25--53

Twórcy

autor

Wojciech J. Florkowski

• University of Georgia, USA

autor

A. Bilgic

• University of Georgia, USA

autor

P. Paraskova

• University of Georgia, USA

autor

L.R Beuchat

• University of Georgia, USA

autor

M.S. Chinnan

• University of Georgia, USA

autor

A.V.A. Resurreccion

• University of Georgia, USA

autor

J. Jordanov

• University of Georgia, USA

Bibliografia

• Anonymous (2002), http://www.nacsonline.com/PDFs/NACS_show/MarketCloseup7.pdf. Accessed December No. 18.
• Bunch K. (1985), Whole Milk is No Longer the Beverage of Choice, National Food Review No. 29, p. 21-24.
• Bresch D. (1999), The Balkan Stroke Epidemic, http://www.columbia.edu/cu/sipa/REGIONAL/ECE/balkanstroke, Accessed December No. 18.
• Claussen B., Aasland O.G. (1993), The Alcohol Use Disorders Identification Test (AUDIT) in a Routine Health Examination of Long-Term Unemployed, Addiction No. 88, p. 363-368.
• Cooper M.L., Frone M.R., Russell M., Mudar P. (1995), Drinking to Regulate Positive and Negative Emotions: A Motivational Model of Alcohol Use, J. Person Soc. Psychol. No. 69, p. 990-1005.
• Cooper M.L., Frone M.R., Russell M., Pierce R.S. (1997), Gender, Stress, Coping, and Alcohol Use, in: R.W. Wilsnack & S. C. Wilsnack (Eds.), Gender and Alcohol: Individual and Social Perspectives, p. 199-224, New Brunswick, NJ: Rutgers Center for Alcohol Studies.
• Dreosti I.E., Wargovich M.J., Yang C.S. (1997), Inhibition of Carcinogenesis by Tea: The Evidence from Experimental Studies, Critical Reviews in Food Science and Nutrition, No. 37, 8, p. 761-770.
• Duffy S.J., Keaney J.F., Holbrook M., Gokce N., Swerdloff P.L., Frei B., Vita J.A. (2001), Short and Long-Term Black Tea Consumption Reverses Endotheli Dysfunction in Patients with Coronary Artery Disease, Circulation No. 10, 104, 2, 151.
• Epstein F.H. (1989), The Relationship of Lifestyle to International Trends in C.D, International Journal of Epidemiology No. 18, 3, p. S203-S208.
• Ettner S.L. (1997), Measuring the Human Cost of a Weak Economy: Does Unemployment Lead to Alcohol Abuse? Soc. Sci. Med. No. 44, 2, p. 251-260.
• Florkowski W.J., McNamara K.T. (1992), Policy Implications of Alcohol and Tobacco Demand in Poland, Journal of Policy Modeling No. 14, 1, p. 93-98.
• Food Standards Agency (2001), Committee on Toxicity of Chemicals in Food, Consumer Products and the Environment, Statement on the Reproductive Effects of Caffeine.
• Greene W.H. (2003), Econometric Analysis, 5th Edition, Prentice Hall, Upper Saddle River, New Jersey.
• Greene W.H. (2002), LIMDEP Version 8.0 User's Manual, Econometric Software, Inc. New York.
• Gurmu S., Trivedi P.K. (1996), Excess Zeros in Count Models for Recreational Trips, Journal of Business and Economic Statistics No. 14, p. 469-477.
• Gurmu S., Trivedi P.K. (1997), Semi-Parametric Estimation of Hurdle Regression Models with an Application to Medicaid Utilization, Journal of Applied Econometrics No. 12, p. 225-242.
• Gurmu S., Trivedi P.K. (1998), Generalized Hurdle Count Data Regression Models, Economics Letters No. 58, p. 263-268.
• Hakim I.A., Weisgerber U.M., Harris R.B., Balentine D., van Mierlo C.A.J., Paetau-Robinson I. (2000), Preparation, Composition and Consumption Patterns of Tea-Based Beverages in Arizona, Nutrition Research No. 20, 12, p. 1715-1724.
• Hertog M.G.L., et al. (1993), Dietary Antioxidants Flavonoids and Risk of Coronary Heart Disease: The Zutphen Elderly Study, Lancet No. 155, p. 381.
• Hertog M.G., Kromhout D., Aravanis C., Blackburn H., Buzina R., Fidanza F., Giampaoli S., Jansen A., Menotti A., et al. (1995), Flavonoid Intake and Long-Term Risk of Coronary Heart Disease and Cancer in the Seven Countries Study, Arch Int. Med. No. 155, p. 381-386.
• Hindmarch I., Quinlan P.T., Moore K.L., Parkin C. (1998), The Effects of Black Tea and Other Beverages on Aspects of Cognition and Psychomotor Performance, Psychopharmacology No. 139, 3, p. 230-238.
• Keli S.O., Hertog M.G., Feskens E.J., Kromhout D. (1996), Dietary Flavonoids, Antioxidant Vitamins, and Incidence of Stroke: The Zutphen Study, Arch Int. Med. No. 156, p. 637-642.
• Kolev V. (2002), Dynamics in Purchases of the Households of the End of Year 2001, http://www.gfk.bg/press_view.php?item=628cat=3, Accessed December 18.
• Lambert D. (1992), Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing, Technometrics No. 34, 1, p. 1-14.
• McCullagh P., Nelder J.A. (1989), Generalized Linear Models. Monographs on Statistics and Applied Probability, No. 37, Chapman & Hall, London.
• McNair L.D. (1996), Alcohol Use and Stress in Women: The Role of Prior vs. Anticipated Stressors, Journal of Psychopathology and Behavioral Assessment No. 18, p. 331-345.
• Ming W., Macera C.A., Hornung C.A., Blair S.N. (1995), The Impact of Changes in Coffee Consumption on Serum Cholesterol, Journal of Clinical Epidemiology No. 48, 10, p. 1189-1196.
• Moyer G., Mayell M. (1981), The Soft Drink Explosion. Nutrition Action - Center for Science in the Public Interest, No. 8, 8, p. 8-10.
• Peirce R.S., Frone M.R., Russell M., Cooper M.L. (1996), Financial Stress, Social Support, and Alcohol Involvement: A Longitudinal Test of the Buffering Hypothesis in a General Population Survey, Health Psychol. No. 15, s. 38-47.
• Pudney S. (1989), Modelling Individual Choice: The Econometrics of Corners, Kinks and Holes, Basil Blackwell Ltd, Oxford, UK.
• Snel J., Lorist M. (1997), Nicotine, Caffeine and Social Drinking. Harwood Academic Publishers, Amsterdam.
• Steptoe A., Wardle J. (1999), Mood and Drinking: A Naturalistic Diary Study of Alcohol, Coffee and Tea, Psychopharmacology No. 141, p. 315-321.
• Streufert S., Satish U., Pogash R., Gingrich D., Landis R., Roache J., Severs W. (1997), Excess Coffee Consumption in Simulated Complex Work Settings: Detriment or Facilitation of Performance? Journal of Applied Psychology No. 82, 5, p. 774-782.
• Su S-J B., Yen S.T. (2000), A Censored System of Cigarette and Alcohol Consumption, Applied Economics No. 32, p. 729-737.
• Torfs C.P., Christianson R.E. (2000), Effect of Maternal Smoking and Coffee Consumption on the Risk of Having a Recognized Down Syndrome Pregnancy, American Journal of Epidemiology No. 152, 12, s. 1185-1191.
• Vuong Q.H. (1989), Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses, Econometrica No. 57, 2, p. 307-333.
• Wanki M., Florkowski W.J., Beuchat L.R., Resurrection A.V.A., Chinnan M.S., Paraskova P., Jordanov J. (1999), Effects of Product Attributes and Consumer Characteristics on Attitude and Behavior: The Case of Peanuts in a Transition Economy, Agribusiness No. 15, 3, p. 411-425.
• Wanki M., Florkowski W.J., Beuchat L.R., Paraskova P., Resurrection A.V.A., Chinnan M.S., Jordanov J. (2001), Hurdle Count-Data Models of Meat Consumption in Bulgaria, European Review of Agricultural Economics No. 28, 1, p. 37-56.
• Watson P. (1995), Explaining Rising Mortality Among Men in Eastern Europe, Soc. Sci. ed. No. 41, 7, p. 923-934.
• Wnuk-Lipinski E., Illsley R. (1990), International Comparative Analysis: Main Findings and Conclusions, Soc. Sci. Med. No. 31, 8, p. 879-889.
• Wood L. (1983), Summer Survey Showed Soda Consumption Was Up, Independent Restaurants No. 45, p. 11, 12.