Department of Electronic Engineering, Tsinghua University, Beijing, 100084, China.
Sci Rep. 2024 Jan 19;14(1):1678. doi: 10.1038/s41598-024-51215-3.
The COVID-19 outbreak has dramatically impacted the economy, particularly consumption behaviors. Studies on how consumption responses to COVID-19 can be a powerful aid for urban consumption recovery. In this paper, based on a high-frequency consumption dataset from January 6, 2020, to April 28, 2020 covering 18 sectors and dataset from the corresponding lunar period in 2021, we look at how COVID-19 changed how people spent their money by looking at patterns of recession and recovery during the pandemic. Specifically, we first explore the recession-recovery pattern of national consumption and the effects of various policies and quantify it using regression methods. Then, recession-recovery patterns across cities are widely studied. We also reveal how consumption structures change during a pandemic and the relationship between patterns of change in citizens' consumption and the socioeconomic characteristics of cities. And the specific empirical analysis is provided through panel regression models. In general, national consumption represented a Vshaped pattern during the pandemic, experiencing a dramatic decline and a rapid rebound. Consumption is significantly inhibited by lockdown, while it is stimulated positively but gradually by easing policies. Consumption patterns at the city level are associated with socioeconomic characteristics. Cities with high-income groups experience a more significant decline, and cities with a high share of the secondary sector have a higher recovery rate in consumption. The consumption structure redistributes but does not fundamentally change. During the recession and early recovery phase, consumption related to basic living saw a significant rise, whereas leisure-related consumption dropped dramatically and recovered slowly. Our study can assist policymakers in implementing diversified market provisions and targeted lockdown policy adjustments for consumption recovery in cities with different socioeconomic backgrounds.
新冠疫情对经济,尤其是消费行为产生了巨大影响。研究消费对新冠疫情的反应可以为城市消费复苏提供有力支持。在本文中,我们基于 2020 年 1 月 6 日至 4 月 28 日期间涵盖 18 个行业的高频消费数据集以及 2021 年同期的相应农历期间的数据集,研究了新冠疫情如何改变人们的消费方式,观察了疫情期间的衰退和复苏模式。具体来说,我们首先探索了全国消费的衰退-复苏模式以及各种政策的影响,并使用回归方法对其进行量化。然后,我们广泛研究了城市之间的衰退-复苏模式。我们还揭示了疫情期间消费结构的变化以及公民消费模式变化与城市社会经济特征之间的关系。并通过面板回归模型提供了具体的实证分析。总的来说,全国消费在疫情期间呈现出 V 型模式,经历了急剧下降和快速反弹。封锁显著抑制了消费,而政策放宽则积极但逐渐地刺激了消费。城市层面的消费模式与社会经济特征相关。高收入群体较多的城市消费下降幅度更大,第二产业比重较高的城市消费复苏速度更快。消费结构重新分配但没有从根本上改变。在衰退和早期复苏阶段,与基本生活相关的消费显著上升,而与休闲相关的消费大幅下降,复苏缓慢。我们的研究可以帮助政策制定者为具有不同社会经济背景的城市实施多元化的市场供应和有针对性的封锁政策调整,以促进消费复苏。