Morrison Philip S, Rossouw Stephanié, Greyling Talita
School of Geography, Environment and Earth Sciences, Victoria University of Wellington, Wellington, New Zealand.
School of Social Science & Public Policy, AUT, Auckland, New Zealand.
Appl Res Qual Life. 2022;17(3):1787-1812. doi: 10.1007/s11482-021-09977-9. Epub 2021 Oct 6.
In this paper, we explore the response of an aggregate measure of subjective wellbeing to the arrival and passage of the COVID-19 pandemic in a small, geographically separate economy in the South Pacific. Studies of national wellbeing and emotional responses to infection rates during a pandemic have been rare thus far. While several disciplines offer theoretical priors in the case of individuals, far less attention has been paid to the wellbeing and emotional response at a national level. Our paper contributes to the literature by applying a time-series approach to the relationship between wellbeing, emotions and the passage of a pandemic. As such we contribute to a wider literature on macro responses to exogenous shocks. Our analysis involves the use of a wellbeing index and emotional time-series derived from Big Data in the form of tweets originating within New Zealand. The index captures the daily evaluative mood of the country several weeks before the first domestic case of COVID-19 was recorded until several weeks of no new COVID-19 cases. We find distinct reactions to the pandemic: a initial fall in national wellbeing generated by a decrease in the emotions 'joy', 'anticipation' and 'trust'. Following a rapid and severe lockdown designed to limit domestic transmission of the virus national wellbeing recovered relatively quickly. Gaining insight into the wellbeing (happiness) reponse to pandemics at the national level is important because the average level of happiness within countries is known to be associated with a range of economic, social, health and political outcomes.
在本文中,我们探讨了在南太平洋一个地域相对独立的小经济体中,主观幸福感综合指标对新冠疫情到来及发展的反应。迄今为止,关于大流行期间国民幸福感以及对感染率的情绪反应的研究很少。虽然多个学科在个体层面提供了理论先验,但在国家层面的幸福感和情绪反应方面所受关注要少得多。我们的论文通过对幸福感、情绪与大流行发展之间的关系采用时间序列方法,为该文献做出了贡献。因此,我们为关于对外生冲击的宏观反应的更广泛文献做出了贡献。我们的分析涉及使用一个幸福感指数和从源自新西兰的推文大数据中得出的情绪时间序列。该指数记录了在新西兰首次出现国内新冠病例前几周直至数周无新增新冠病例期间该国的每日评价情绪。我们发现了对疫情的不同反应:因“喜悦”“期待”和“信任”等情绪下降而导致国民幸福感最初下降。在为限制病毒国内传播而实施迅速且严格的封锁措施后,国民幸福感相对较快地恢复了。深入了解国家层面的幸福感(幸福度)对大流行的反应很重要,因为已知各国的平均幸福水平与一系列经济、社会、健康和政治成果相关。