Balmford Ben, Annan James D, Hargreaves Julia C, Altoè Marina, Bateman Ian J
Department of Economics, Land, Environment Economics and Policy Institute, University of Exeter Business School, Exeter, EX4 4PU UK.
Blue Skies Research, Ltd, Settle, UK.
Environ Resour Econ (Dordr). 2020;76(4):525-551. doi: 10.1007/s10640-020-00466-5. Epub 2020 Aug 4.
Coronavirus has claimed the lives of over half a million people world-wide and this death toll continues to rise rapidly each day. In the absence of a vaccine, non-clinical preventative measures have been implemented as the principal means of limiting deaths. However, these measures have caused unprecedented disruption to daily lives and economic activity. Given this developing crisis, the potential for a second wave of infections and the near certainty of future pandemics, lessons need to be rapidly gleaned from the available data. We address the challenges of cross-country comparisons by allowing for differences in reporting and variation in underlying socio-economic conditions between countries. Our analyses show that, to date, differences in policy interventions have out-weighed socio-economic variation in explaining the range of death rates observed in the data. Our epidemiological models show that across 8 countries a further week long delay in imposing lockdown would likely have cost more than half a million lives. Furthermore, those countries which acted more promptly saved substantially more lives than those that delayed. Linking decisions over the timing of lockdown and consequent deaths to economic data, we reveal the costs that national governments were implicitly prepared to pay to protect their citizens as reflected in the economic activity foregone to save lives. These 'price of life' estimates vary enormously between countries, ranging from as low as around $100,000 (e.g. the UK, US and Italy) to in excess of $1million (e.g. Denmark, Germany, New Zealand and Korea). The lowest estimates are further reduced once we correct for under-reporting of Covid-19 deaths.
新冠病毒已在全球范围内导致超过50万人死亡,且这一死亡人数每天仍在迅速攀升。在没有疫苗的情况下,非临床预防措施已被作为限制死亡的主要手段实施。然而,这些措施给日常生活和经济活动带来了前所未有的破坏。鉴于这场不断发展的危机、第二波感染的可能性以及未来大流行几乎不可避免,需要迅速从现有数据中吸取教训。我们通过考虑各国报告差异和潜在社会经济状况的变化来应对跨国比较的挑战。我们的分析表明,迄今为止,在解释数据中观察到的死亡率范围时,政策干预的差异比社会经济差异更为重要。我们的流行病学模型显示,在8个国家中,如果实施封锁再推迟一周,可能会导致超过50万人丧生。此外,行动更迅速的国家比那些推迟行动的国家挽救了更多生命。将封锁时机的决策及随之而来的死亡与经济数据联系起来,我们揭示了各国政府为保护其公民而隐含准备付出的成本,这体现在为挽救生命而放弃的经济活动中。这些“生命的代价”估计在各国之间差异巨大,从低至约10万美元(如英国、美国和意大利)到超过100万美元(如丹麦、德国、新西兰和韩国)不等。一旦我们对新冠死亡人数的漏报进行校正,最低估计值会进一步降低。