Growing importance of price: Investigating food values before and during high inflation in Germany

IF 4.5 3区 经济学 Q1 AGRICULTURAL ECONOMICS & POLICY Agricultural Economics Pub Date : 2024-10-27 DOI:10.1111/agec.12865
Corinna Hempel, Jutta Roosen
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Abstract

Considering the consumption-induced intensification of global challenges and the continuously changing consumer needs, it is important to understand the drivers of consumer food choices under external pressures. We applied best–worst scaling to elicit the relative importance of 11 food values and conducted latent class cluster analyses based on individual scores, allowing us to gain insights into distinctive consumer segments. Data were collected through online surveys of 1000 consumers in Bavaria, southern Germany, in November 2020 and November 2022. As expected, the relative importance of food value price has strongly increased during this period. Similarly, the price-sensitive segment has become larger in 2022 than in 2020, while the societal impact-centered segment has become much smaller in 2022. These findings call for target-specific measures to counteract this trend of increasing price focus that challenges sustainable dietary transitions.

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价格的重要性与日俱增:调查德国高通胀前和高通胀期间的食品价值
考虑到消费导致的全球挑战加剧以及消费者需求的不断变化,了解外部压力下消费者食品选择的驱动因素非常重要。我们采用了最佳-最差缩放法来确定 11 种食品价值的相对重要性,并根据个体得分进行了潜类聚类分析,从而深入了解了与众不同的消费者群体。我们于 2020 年 11 月和 2022 年 11 月在德国南部巴伐利亚州对 1000 名消费者进行了在线调查,收集了相关数据。不出所料,在此期间,食品价值价格的相对重要性大幅上升。同样,与 2020 年相比,对价格敏感的消费者群体在 2022 年变得更大,而以社会影响为中心的消费者群体在 2022 年变得更小。这些研究结果要求采取有针对性的措施,以应对这种日益注重价格的趋势,因为这种趋势对可持续的膳食转型构成了挑战。
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来源期刊
Agricultural Economics
Agricultural Economics 管理科学-农业经济与政策
CiteScore
7.30
自引率
4.90%
发文量
62
审稿时长
3 months
期刊介绍: Agricultural Economics aims to disseminate the most important research results and policy analyses in our discipline, from all regions of the world. Topical coverage ranges from consumption and nutrition to land use and the environment, at every scale of analysis from households to markets and the macro-economy. Applicable methodologies include econometric estimation and statistical hypothesis testing, optimization and simulation models, descriptive reviews and policy analyses. We particularly encourage submission of empirical work that can be replicated and tested by others.
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