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Evolving Consumption Patterns in the U.S. Alcohol Market: Disaggregated Spatial Analysis
Journal of Wine Economics ( IF 1.6 ) Pub Date : 2019-10-24 , DOI: 10.1017/jwe.2019.14
Jarrett Hart , Julian M. Alston

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)

中文翻译:

美国酒类市场不断变化的消费模式:分解空间分析

全球酒精饮料消费模式正在演变,随着传统啤酒消费国增加葡萄酒消费量,各国人均消费量有所趋同,相反,葡萄酒消费国转向啤酒。本文探讨了美国境内酒精饮料消费的区域模式。一个目的是看看是否可以在国家内部观察到类似的消费模式空间趋同模式,正如国际比较中所记录的那样。一个更根本的目的是探索相反的问题,并寻求更好地了解群体之间酒精饮料消费的持续差异。这些问题是使用美国四十年来的年度国家和州级数据来解决的,并且在最近的一段时间内,在更精细的地缘政治聚合尺度上的超市扫描仪数据。社会经济和其他人口变量似乎在解释消费模式的空间差异方面发挥了重要作用,尽管不同模型和数据集的细节有所不同。使用较短时间段内较少汇总数据的需求分析揭示了基于较长时间段内州级数据的相应分析中的一些缺点,但价格测量不佳。这些发现可以外推到使用国家汇总数据进行国际比较的研究。(JEL 分类:D12、L66)尽管细节因模型和数据集而异。使用较短时间段内较少汇总数据的需求分析揭示了基于较长时间段内州级数据的相应分析中的一些缺点,但价格测量不佳。这些发现可以外推到使用国家汇总数据进行国际比较的研究。(JEL 分类:D12、L66)尽管细节因模型和数据集而异。使用较短时间段内较少汇总数据的需求分析揭示了基于较长时间段内州级数据的相应分析中的一些缺点,但价格测量不佳。这些发现可以外推到使用国家汇总数据进行国际比较的研究。(JEL 分类:D12、L66)
更新日期:2019-10-24
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