Too old to spend? Understanding the consumption of the elderly in China

IF 5.2 1区 经济学 Q1 ECONOMICS 中国经济评论 Pub Date : 2024-09-23 DOI:10.1016/j.chieco.2024.102286
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Abstract

The aging of the population is a major phenomenon around the world, and it is of paramount importance to understand the economic behaviors of the elderly. By analyzing a proprietary account-level dataset from a major tech company in China, we attempt to clarify the consumption patterns of the elderly and establish several stylized facts. First, we observe a smooth decrease in consumption since the age of 40, instead of a structural reduction at any age. Second, the composition of consumption varies significantly among cohorts. The elderly spend significantly less on appearance-related categories and entertainment but not on dining, which contradicts the popular argument that food expenditure is substituted by home production (i.e. cooking at home). Third, the elderly is less likely to use consumer credit than the younger generations but the elderly that already become consumer credit users exhibit usage patterns not significantly different from the young. Lastly, with the COVID-19 pandemic, the elderly increase their medical and health expenditures but reduce total consumption. We discuss the plausible reasons why some of our findings are in contrast with the existing literature.
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老得没钱花?了解中国老年人的消费情况
人口老龄化是全球的一个重要现象,因此了解老年人的经济行为至关重要。通过分析中国一家大型科技公司专有的账户级数据集,我们试图厘清老年人的消费模式,并确定几个典型事实。首先,我们观察到自 40 岁起消费平稳下降,而不是在任何年龄都出现结构性下降。其次,不同群体的消费构成差异显著。老年人在与外表有关的类别和娱乐方面的支出明显减少,但在餐饮方面的支出却没有减少,这与人们普遍认为食品支出被家庭生产(即在家做饭)所替代的观点相矛盾。第三,与年轻一代相比,老年人使用消费信贷的可能性较低,但已经成为消费信贷用户的老年人在使用模式上与年轻人没有显著差异。最后,由于 COVID-19 的流行,老年人增加了医疗和健康支出,但减少了总消费。我们将讨论我们的一些发现与现有文献形成对比的合理原因。
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来源期刊
中国经济评论
中国经济评论 ECONOMICS-
CiteScore
10.60
自引率
4.40%
发文量
380
期刊介绍: The China Economic Review publishes original works of scholarship which add to the knowledge of the economy of China and to economies as a discipline. We seek, in particular, papers dealing with policy, performance and institutional change. Empirical papers normally use a formal model, a data set, and standard statistical techniques. Submissions are subjected to double-blind peer review.
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