School of Finance, Anhui University of Finance and Economics , Bengbu, People's Republic of China.
J R Soc Interface. 2024 Jul;21(216):20240159. doi: 10.1098/rsif.2024.0159. Epub 2024 Jul 31.
Natural disasters bring indelible negative impacts to human beings, and people usually adopt some strategies to alleviate such impacts. However, the same strategies may have different effects in different countries (or regions), which is rarely paid attention by the academic community. In the context of COVID-19, we examine the effect of distance restriction policies (DRP) on reducing human mobility and thus inhibiting the spread of the virus. By establishing a multi-period difference-in-differences model to analyse the unique panel dataset constructed by 44 countries, we show that DRP does significantly reduce mobility, but the effectiveness varies from country to country. We built a moderating effect model to explain the differences from the cultural perspective and found that DRP can be more effective in reducing human mobility in countries with a lower indulgence index. The results remain robust when different sensitivity analyses are performed. Our conclusions call for governments to adapt their policies to the impact of disasters rather than copy each other.
自然灾害给人类带来了不可磨灭的负面影响,人们通常会采取一些策略来减轻这些影响。然而,相同的策略在不同的国家(或地区)可能会产生不同的效果,这一点很少受到学术界的关注。在 COVID-19 背景下,我们研究了距离限制政策(DRP)对减少人类流动性从而抑制病毒传播的影响。通过建立一个多期双重差分模型,对 44 个国家构建的独特面板数据集进行分析,我们发现 DRP 确实显著降低了流动性,但效果因国家而异。我们构建了一个调节效应模型,从文化的角度来解释这些差异,发现 DRP 在放纵指数较低的国家更能有效降低人类流动性。当进行不同的敏感性分析时,结果仍然稳健。我们的结论呼吁各国政府根据灾害的影响调整政策,而不是互相模仿。