Consumer preferences for beer attributes in Germany: A conjoint and latent class approach

被引:43
作者
Meyerding, Stephan G. H. [1 ]
Bauchrowitz, Alexander [2 ]
Lehberger, Mira [3 ]
机构
[1] Georg August Univ Gottingen, Dept Agr Econ & Rural Dev, Pl Gottinger Sieben 5, D-37073 Gottingen, Germany
[2] Georg August Univ Gottingen, Fac Econ Sci, Gottingen, Germany
[3] Hsch Geisenheim Univ, Dept Fresh Produce Logist, Geisenheim, Germany
关键词
Consumption patterns; Consumer segmentation; Food-related Lifestyles; Organic Beer; Diet-related attribute labels; CLASS MODEL; CHOICE; LABELS;
D O I
10.1016/j.jretconser.2018.12.001
中图分类号
F [经济];
学科分类号
02 ;
摘要
Despite high marketing expenses by large breweries, the traditional German beer market has been declining for many years. The development may be related to reasons such as demographic change or increased health awareness. In a changing market, it is especially important to gain a precise knowledge of these variables. The aim of this study is to identify the attributes of beer that are crucial to the purchasing process and to segment the German market for beer. For this purpose, a conjoint analysis was carried out with a subsequent latent class analysis. As a result of the latent class analysis, three consumer segments were identified. In addition to achieving results from the conjoint analysis, the segments were characterized by sociodemographic status, beer-related questions, and results from a food-related lifestyle approach. The study sample was representative in terms of gender and age for the market of German beer drinkers (N=484). The attributes of beer type, price, and origin were of importance for the selection of beer across all segments. Differences between the segments represented, in particular, the preferred type of beer as well as preferences for organic, calorie-reduced, and imported beer. The latter three characteristic specifications were relevant in only one of the three segments. This study provides evidence for a slowly changing German beer market.
引用
收藏
页码:229 / 240
页数:12
相关论文
共 50 条
[41]   A latent class approach to tourists' length of stay [J].
Alegre, Joaquin ;
Mateo, Sara ;
Pou, Llorenc .
TOURISM MANAGEMENT, 2011, 32 (03) :555-563
[42]   The role of information in consumer preferences for sustainable certified palm oil products in Germany [J].
Richartz, Christoph ;
Abdulai, Awudu .
PLOS ONE, 2022, 17 (07)
[43]   Consumer preferences for local origin: is closer better? The case of fresh tomatoes and ketchup in Germany [J].
Meyerding, S. G. H. ;
Trajer, N. .
XV INTERNATIONAL SYMPOSIUM ON PROCESSING TOMATO, 2019, 1233 :193-200
[44]   Do Taste and Quality Perception Influence Consumer Preferences for Wood? An Econometric Model with Latent Variables [J].
Costa, Sandrine ;
Garcia, Serge ;
Ibanez, Lisette .
FOREST SCIENCE, 2011, 57 (02) :89-101
[45]   Modelling the composition of household portfolios: A latent class approach [J].
Alzuabi, Raslan ;
Brown, Sarah ;
Harris, Mark N. ;
Taylor, Karl .
CANADIAN JOURNAL OF ECONOMICS-REVUE CANADIENNE D ECONOMIQUE, 2024, 57 (01) :243-275
[46]   Understanding Consumer Preferences for Attributes of Yak Meat: Implications for Economic Growth and Resource Efficiency in Pastoral Areas [J].
Ai, Yongshun ;
Yuan, Rao ;
Jin, Shaosheng ;
Lin, Wen ;
Zhang, Yan .
MEAT SCIENCE, 2024, 216
[47]   Consumer Preferences for Origin and Organic Attributes of Extra Virgin Olive Oil: A Choice Experiment in the Italian Market [J].
Carzedda, Matteo ;
Gallenti, Gianluigi ;
Troiano, Stefania ;
Cosmina, Marta ;
Marangon, Francesco ;
de Luca, Patrizia ;
Pegan, Giovanna ;
Nassivera, Federico .
FOODS, 2021, 10 (05)
[48]   Interaction Between Attributes and Familiarity in Consumer Preferences for Olive Oil: Using Consumers' Residence as a Proxy for Familiarity [J].
Arbelaez-Mejia, Sonia M. ;
Ramos-Alvarez, Manuel M. ;
Rosas, Juan M. .
JOURNAL OF FOOD SCIENCE, 2025, 90 (06)
[49]   Chinese Consumers' Preferences for Attributes of Fresh Milk: A Best-Worst Approach [J].
Jin, Shaosheng ;
Yuan, Rao ;
Zhang, Yan ;
Jin, Xin .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2019, 16 (21)
[50]   Segmentation of theatre audiences: A latent class approach for combined data [J].
Ozhegova, Alina ;
Ozhegov, Evgeniy M. .
JOURNAL OF CHOICE MODELLING, 2020, 37