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The Determinants of an Econometric Demand Model for Beverages

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  • Toan Ngoc Nguyen

Abstract

Purpose: The study attempts to explore the determinants of demand for alcoholic and other beverages to see how a rise in prices of alcohol and other beverages and in household expenditure would influence demand. From the results, we discuss the effectiveness of a prospective excise tax increase on demand for alcoholic and other beverages. Design/Methodology/Approach: We use the Almost Ideal Demand System to analyze the demand for alcoholic and other beverages. A two-stage estimation approach is employed to estimate the model with data from Vietnam Households Living Standard survey in 2016. In the first stage, we model the choice of consuming or not consuming by a probit regression model. In the second stage, we estimate the demand system by seemingly unrelated regression (SUR). Findings: We find that demand for beer, other alcoholic beverages, and non-alcoholic packed drinks is elastic to own-price. However, as demand for beer and non-alcoholic packed drinks is also elastic to income, consumption would rise as income grows. Practical implications: Our findings have significant implications for policymakers and beverage producers. The findings suggest that an increase in excise tax would be an effective solution to control demand for alcoholic beverages. Beverage producers could also use the results to design pricing strategies and forecast consumer behaviors. Originality/Value: We contribute new findings to the literature of beverage demand analyses. Our findings differ from those in previous studies in the context of both developed and developing countries, which show that demand for alcoholic beverages is inelastic to own-prices. The findings have important implications for policymakers and beverage producers.

Suggested Citation

  • Toan Ngoc Nguyen, 2020. "The Determinants of an Econometric Demand Model for Beverages," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(1), pages 383-394.
  • Handle: RePEc:ers:ijebaa:v:viii:y:2020:i:1:p:383-394
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    1. Eleftherios Thalassinos & Erginbay Ugurlu & Yusuf Muratoglu, 2012. "Income Inequality and Inflation in the EU," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 127-140.
    2. Johan F.M.Swinnen & Liesbeth Colen, 2010. "Beer Drinking Nations. The Determinants of Global Beer Consumption," LICOS Discussion Papers 27010, LICOS - Centre for Institutions and Economic Performance, KU Leuven.
    3. Barten, A. P., 1969. "Maximum likelihood estimation of a complete system of demand equations," European Economic Review, Elsevier, vol. 1(1), pages 7-73.
    4. Santosh Kumar, 2016. "Price Elasticity of Alcohol Demand in India," Working Papers 1610, Sam Houston State University, Department of Economics and International Business.
    5. Dale M. Heien & Cathy Roheim Wessells, 1988. "The Demand for Dairy Products: Structure, Prediction, and Decomposition," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(2), pages 219-228.
    6. Linh Vu Hoang, 2009. "Estimation of Food Demand from Household Survey Data in Vietnam," Working Papers 12, Development and Policies Research Center (DEPOCEN), Vietnam.
    7. Pollak, Robert A & Wales, Terence J, 1978. "Estimation of Complete Demand Systems from Household Budget Data: The Linear and Quadratic Expenditure Systems," American Economic Review, American Economic Association, vol. 68(3), pages 348-359, June.
    8. Kinnucan, Henry W., 1986. "Demographic Versus Media Advertising Effects On Milk Demand: The Case Of The New York City Market," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 15(1), pages 1-9, April.
    9. Heckman, James J, 1978. "Dummy Endogenous Variables in a Simultaneous Equation System," Econometrica, Econometric Society, vol. 46(4), pages 931-959, July.
    10. BARTEN, Anton P., 1969. "Maximum likelihood estimation of a complete system of demand equations," LIDAM Reprints CORE 34, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    11. Adolf Buse, 1994. "Evaluating the Linearized Almost Ideal Demand System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(4), pages 781-793.
    12. Christensen, Laurits R & Jorgenson, Dale W & Lau, Lawrence J, 1975. "Transcendental Logarithmic Utility Functions," American Economic Review, American Economic Association, vol. 65(3), pages 367-383, June.
    13. Amemiya, Takeshi, 1974. "Multivariate Regression and Simultaneous Equation Models when the Dependent Variables Are Truncated Normal," Econometrica, Econometric Society, vol. 42(6), pages 999-1012, November.
    14. Heien, Dale & Wessells, Cathy Roheim, 1990. "Demand Systems Estimation with Microdata: A Censored Regression Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(3), pages 365-371, July.
    15. John Eakins & Liam Gallagher, 2003. "Dynamic almost ideal demand systems: an empirical analysis of alcohol expenditure in Ireland," Applied Economics, Taylor & Francis Journals, vol. 35(9), pages 1025-1036.
    16. Richard Green & Julian M. Alston, 1990. "Elasticities in AIDS Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(2), pages 442-445.
    17. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Alcoholic and other beverage demand; demand elasticity; AIDS model; excise tax; Vietnam.;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • R22 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Other Demand

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