School of Economics and Finance, Queensland University of Technology, 2 George St, Brisbane, QLD, 4000, Australia.
Centre for Behavioural Economics, Society and Technology (BEST), 2 George St, Brisbane, QLD, 4000, Australia.
Global Health. 2021 May 20;17(1):57. doi: 10.1186/s12992-021-00677-5.
The ongoing COVID-19 pandemic has highlighted the vast differences in approaches to the control and containment of coronavirus across the world and has demonstrated the varied success of such approaches in minimizing the transmission of coronavirus. While previous studies have demonstrated high predictive power of incorporating air travel data and governmental policy responses in global disease transmission modelling, factors influencing the decision to implement travel and border restriction policies have attracted relatively less attention. This paper examines the role of globalization on the pace of adoption of international travel-related non-pharmaceutical interventions (NPIs) during the coronavirus pandemic. This study aims to offer advice on how to improve the global planning, preparation, and coordination of actions and policy responses during future infectious disease outbreaks with empirical evidence.
We analyzed data on international travel restrictions in response to COVID-19 of 185 countries from January to October 2020. We applied time-to-event analysis to examine the relationship between globalization and the timing of travel restrictions implementation.
The results of our survival analysis suggest that, in general, more globalized countries, accounting for the country-specific timing of the virus outbreak and other factors, are more likely to adopt international travel restrictions policies. However, countries with high government effectiveness and globalization were more cautious in implementing travel restrictions, particularly if through formal political and trade policy integration. This finding is supported by a placebo analysis of domestic NPIs, where such a relationship is absent. Additionally, we find that globalized countries with high state capacity are more likely to have higher numbers of confirmed cases by the time a first restriction policy measure was taken.
The findings highlight the dynamic relationship between globalization and protectionism when governments respond to significant global events such as a public health crisis. We suggest that the observed caution of policy implementation by countries with high government efficiency and globalization is a by-product of commitment to existing trade agreements, a greater desire to 'learn from others' and also perhaps of 'confidence' in a government's ability to deal with a pandemic through its health system and state capacity. Our results suggest further research is warranted to explore whether global infectious disease forecasting could be improved by including the globalization index and in particular, the de jure economic and political, and de facto social dimensions of globalization, while accounting for the mediating role of government effectiveness. By acting as proxies for a countries' likelihood and speed of implementation for international travel restriction policies, such measures may predict the likely time delays in disease emergence and transmission across national borders.
当前的 COVID-19 大流行凸显了全球在冠状病毒控制和遏制方面方法的巨大差异,并展示了这些方法在最大限度减少冠状病毒传播方面的不同效果。虽然之前的研究已经表明,在全球疾病传播模型中纳入航空旅行数据和政府政策反应具有很高的预测能力,但影响实施旅行和边境限制政策的因素相对较少受到关注。本文考察了全球化对冠状病毒大流行期间国际旅行相关非药物干预措施(NPI)采用速度的影响。本研究旨在通过实证证据,就如何改进未来传染病爆发时的全球规划、准备和协调行动及政策反应提供建议。
我们分析了 2020 年 1 月至 10 月期间 185 个国家针对 COVID-19 的国际旅行限制数据。我们采用事件时间分析来检验全球化与旅行限制实施时间之间的关系。
生存分析的结果表明,一般来说,全球化程度更高的国家(考虑到特定国家病毒爆发的时间和其他因素)更有可能实施国际旅行限制政策。然而,政府效能高和全球化程度高的国家在实施旅行限制方面更为谨慎,特别是如果通过正式的政治和贸易政策一体化来实施。这一发现得到了国内 NPI 安慰剂分析的支持,在这种分析中,不存在这种关系。此外,我们发现,全球化程度高且国家能力强的国家在采取第一限制政策措施时,更有可能出现确诊病例数量较多的情况。
这些发现凸显了在政府应对重大全球事件(如公共卫生危机)时全球化与保护主义之间的动态关系。我们认为,政府效率和全球化程度高的国家实施政策时的谨慎态度是对现有贸易协定的承诺、更希望“向他人学习”以及对政府通过其卫生系统和国家能力应对大流行病的能力的“信心”的副产品。我们的研究结果表明,有必要进一步研究是否可以通过纳入全球化指数,特别是全球化的法定经济和政治以及事实上的社会维度,并考虑到政府效能的中介作用,来改善全球传染病预测。这些措施可以作为国际旅行限制政策实施的可能性和速度的代理指标,从而预测疾病在国家间出现和传播的可能时间延迟。