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KMID : 0387320220320030293
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Korean Journal of Health Policy and Administration
2022 Volume.32 No. 3 p.293 ~ p.303
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Evaluation of the COVID-19 Policies in OECD Countries
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Zhang Weilong
Kim Hyung-Jun
Song Rha-Yun
Park Myong-Hwa
Oh Keun-Yeob
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Abstract
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Background: Coronavirus disease 2019 (COVID-19), which has occurred since the end of 2019, has caused tremendous damage notonly in terms of disease and death but also in terms of economy. Accordingly, governments implemented health and quarantinepolicies to prevent the transmission and spread of COVID-19 and minimize economic effects, and implemented variouscountermeasures to reduce social and economic damage. However, the damage varies from country to country, and there aredifferences in the response of each government.
Methods: Using 2020 data from the Organization for Economic Cooperation and Development countries, the effectiveness ofgovernments’ quarantine and economic policies in response to COVID-19 was calculated, and what factors determine theeffectiveness were analyzed. While most of the previous studies analyzed the relationship between the government’s quarantinepolicy and corona transmission and death, this study is characterized by considering the economic aspect in addition.
Results: As a result of the analysis, the following results were obtained. First, when economic aspects are not considered, Asian andEuropean countries have similar levels of efficiency, but when economic aspects are taken into account, Asian countries have higherefficiency. Second, population density had a negative effect on the efficiency of each country’s policy, and long-term orientation wasfound to have an important impact when considering the economic aspect.3
Conclusion: We found that the governance index is an important variable influencing the efficiency, which shows that theeffectiveness of government policies in response to the coronavirus depends heavily on the trust relationship between thegovernment and the people.
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KEYWORD
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COVID-19, Efficiency, Government policy, Population density, Cultural difference, Governance
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