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拯救生命还是拯救生计?对新冠疫情与经济增长的跨国分析。

Save lives or save livelihoods? A cross-country analysis of COVID-19 pandemic and economic growth.

作者信息

Feng Qu, Wu Guiying Laura, Yuan Mengying, Zhou Shihao

机构信息

Economics Division, School of Social Sciences, Nanyang Technological University, 48 Nanyang Ave, 639818, Singapore.

出版信息

J Econ Behav Organ. 2022 May;197:221-256. doi: 10.1016/j.jebo.2022.02.027. Epub 2022 Mar 10.

Abstract

This paper studies whether containing COVID-19 pandemic by stringent strategies deteriorates or saves economic growth. Since there are country-specific factors that could affect both economic growth and deaths due to COVID-19, we first start with a cross-country analysis on identifying risk and protective factors on the COVID-19 deaths using large across-country variation. Using data on 100 countries from 3 January to 27 November 2020 and taking into account the possibility of underreporting, we find that for deaths per million population, GDP per capita, population density, and income inequality are the three most important risk factors; government effectiveness, temperature, and hospital beds are the three most important protective factors. Second, inspired by the stochastic frontier literature, we construct a measure of pandemic containment effectiveness (PCE) after controlling for country-specific factors and rank countries by their PCE scores for deaths. Finally, by linking the PCE score with GDP growth data in Quarters 2 and 3 of 2020, we find that PCE is positively associated with economic growth in major economies. Countries with average PCE scores, such as Malaysia, would gain more GDP growth by 3.47 percentage points if they could improve their PCE scores for deaths to South Korea's level in Q2 of 2020. Therefore, there is not a trade-off between lives and livelihood facing by governments. Instead, to save economy, it is important to contain the pandemic first. Our conclusion is also mainly valid for infections due to COVID-19.

摘要

本文研究通过严格策略控制新冠疫情是否会损害或挽救经济增长。由于存在可能同时影响经济增长和新冠疫情死亡人数的特定国家因素,我们首先进行跨国分析,利用大规模跨国差异来确定新冠疫情死亡的风险因素和保护因素。利用2020年1月3日至11月27日期间100个国家的数据,并考虑到漏报的可能性,我们发现,对于每百万人口的死亡人数而言,人均国内生产总值、人口密度和收入不平等是三个最重要的风险因素;政府效能、温度和医院床位是三个最重要的保护因素。其次,受随机前沿文献的启发,我们在控制特定国家因素后构建了一个疫情控制有效性(PCE)指标,并根据各国的死亡PCE得分进行排名。最后,通过将PCE得分与2020年第二和第三季度的GDP增长数据相联系,我们发现PCE与主要经济体的经济增长呈正相关。平均PCE得分的国家,如马来西亚,如果能将其死亡PCE得分提高到韩国2020年第二季度的水平,其GDP增长将提高3.47个百分点。因此,政府面临的并非生命与生计之间的权衡。相反,为了挽救经济,首先控制疫情很重要。我们的结论对于新冠病毒感染也基本有效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d169/8907024/f8aeffa315b9/gr1_lrg.jpg

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