IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i4p2144-d503842.html
   My bibliography  Save this article

Statistical Estimation of Effects of Implemented Government Policies on COVID-19 Situation in South Korea

Author

Listed:
  • Gyujin Heo

    (Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul 08826, Korea
    Both authors contributed equally to this work as co-first authors.)

  • Catherine Apio

    (Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul 08826, Korea
    Both authors contributed equally to this work as co-first authors.)

  • Kyulhee Han

    (Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul 08826, Korea)

  • Taewan Goo

    (Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul 08826, Korea)

  • Hye Won Chung

    (Department of Chemistry, Seoul National University, Seoul 08826, Korea)

  • Taehyun Kim

    (Department of Statistics, Seoul National University, Seoul 08826, Korea)

  • Hakyong Kim

    (Department of Industrial Engineering, Seoul National University, Seoul 08826, Korea)

  • Yeonghyeon Ko

    (Department of Statistics, Seoul National University, Seoul 08826, Korea
    Department of Archeology and Art History, Seoul National University, Seoul 08826, Korea)

  • Doeun Lee

    (Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul 08826, Korea)

  • Jisun Lim

    (The Research Institute of Basic Sciences, Seoul National University, Seoul 08826, Korea)

  • Taesung Park

    (Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul 08826, Korea
    Department of Statistics, Seoul National University, Seoul 08826, Korea)

Abstract

Since the outbreak of novel SARS-COV-2, each country has implemented diverse policies to mitigate and suppress the spread of the virus. However, no systematic evaluation of these policies in their alleviation of the pandemic has been done. We investigate the impact of five indices derived from 12 policies in the Oxford COVID-19 Government Response Tracker dataset and the Korean government’s index, which is the social distancing level implemented by the Korean government in response to the changing pandemic situation. We employed segmented Poisson model for this analysis. In conclusion, health and the Korean government indices are most consistently effective (with negative coefficients), while the restriction and stringency indexes are mainly effective with lagging (1~10 days), as intuitively daily confirmed cases of a given day is affected by the policies implemented days before, which shows that a period of time is required before the impact of some policies can be observed. The health index demonstrates the importance of public information campaign, testing policy and contact tracing, while the government index shows the importance of social distancing guidelines in mitigating the spread of the virus. These results imply the important roles of these polices in mitigation of the spread of COVID-19 disease.

Suggested Citation

  • Gyujin Heo & Catherine Apio & Kyulhee Han & Taewan Goo & Hye Won Chung & Taehyun Kim & Hakyong Kim & Yeonghyeon Ko & Doeun Lee & Jisun Lim & Taesung Park, 2021. "Statistical Estimation of Effects of Implemented Government Policies on COVID-19 Situation in South Korea," IJERPH, MDPI, vol. 18(4), pages 1-11, February.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:4:p:2144-:d:503842
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/4/2144/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/4/2144/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kawaguchi, Kohei & Kodama, Naomi & Tanaka, Mari, 2021. "Small business under the COVID-19 crisis: Expected short- and medium-run effects of anti-contagion and economic policies," Journal of the Japanese and International Economies, Elsevier, vol. 61(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yuya Katafuchi & Kenichi Kurita & Shunsuke Managi, 2021. "COVID-19 with Stigma: Theory and Evidence from Mobility Data," Economics of Disasters and Climate Change, Springer, vol. 5(1), pages 71-95, April.
    2. Shinnosuke Kikuchi & Sagiri Kitao & Minamo Mikoshiba, 2020. "Who Suffers from the COVID-19 Shocks? Labor Market Heterogeneity and Welfare Consequences in Japan (Forthcoming in the Journal of the Japanese and the International Economies)," CARF F-Series CARF-F-490, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    3. Chen, Joy & Cheng, Zijun & Gong, Robin Kaiji & Li, Jinlin, 2022. "Riding out the COVID-19 storm: How government policies affect SMEs in China," China Economic Review, Elsevier, vol. 75(C).
    4. Daiji Kawaguchi & Sagiri Kitao & Manabu Nose, 2022. "The impact of COVID-19 on Japanese firms: mobility and resilience via remote work," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 29(6), pages 1419-1449, December.
    5. Hiroyuki Okamuro & Yasushi Hara & Yunosuke Iwaki, 2022. "Impact of Consumer Awareness and Behavior on Business Exits in the Hospitality, Tourism, Entertainment, and Culture Industries under the COVID-19 Pandemic," Administrative Sciences, MDPI, vol. 12(4), pages 1-19, November.
    6. Hoshi, Kisho & Kasahara, Hiroyuki & Makioka, Ryo & Suzuki, Michio & Tanaka, Satoshi, 2022. "The heterogeneous effects of COVID-19 on labor markets: People’s movement and non-pharmaceutical interventions," Journal of the Japanese and International Economies, Elsevier, vol. 63(C).
    7. Delgado Narro, Ausugto Ricardo & Katafuchi, Yuya, 2020. "COVID-19, state of emergency, and housing market," MPRA Paper 102456, University Library of Munich, Germany.
    8. Taiyo Fukai & Hidehiko Ichimura & Keisuke Kawata, 2021. "Describing the impacts of COVID-19 on the labor market in Japan until June 2020," The Japanese Economic Review, Springer, vol. 72(3), pages 439-470, July.
    9. Honda, Tomohito & Hosono, Kaoru & Miyakawa, Daisuke & Ono, Arito & Uesugi, Iichiro, 2023. "Determinants and effects of the use of COVID-19 business support programs in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 67(C).
    10. Miyakawa, Daisuke & Oikawa, Koki & Ueda, Kozo, 2021. "Firm Exit during the COVID-19 Pandemic: Evidence from Japan," Journal of the Japanese and International Economies, Elsevier, vol. 59(C).
    11. Christina Nicolas & Nathalie Brender & David Maradan, 2023. "How Did Swiss Small and Medium Enterprises Weather the COVID-19 Pandemic? Evidence from Survey Data," JRFM, MDPI, vol. 16(2), pages 1-16, February.
    12. Rosmadi Fauzi & Mariney Mohd Yusoff & Abd Rahman Roslan & Siti Nadira Ahmad Rozlan & Muhammad Fathi Marzuki & Mohd Muslim Said & Kamaruzaman Jusoff, 2023. "Measuring the Struggle of Small-Scale Businesses in the COVID-19 Environment," Sustainability, MDPI, vol. 15(5), pages 1-17, March.
    13. Katafuchi, Yuya & Kurita, Kenichi & Managi, Shunsuke, 2020. "Self-restraint behavior under COVID-19 through stigma: Theory and evidence based on mobility data," MPRA Paper 102182, University Library of Munich, Germany.
    14. Kikuchi, Shinnosuke & Kitao, Sagiri & Mikoshiba, Minamo, 2021. "Who suffers from the COVID-19 shocks? Labor market heterogeneity and welfare consequences in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 59(C).
    15. Cheng Chen & Tatsuro Senga & Hongyong Zhang, 2021. "Measuring business-level expectations and uncertainty: survey evidence and the COVID-19 pandemic," The Japanese Economic Review, Springer, vol. 72(3), pages 509-532, July.
    16. Satoshi Tanaka, 2022. "Economic Impacts of SARS/MERS/COVID‐19 in Asian Countries," Asian Economic Policy Review, Japan Center for Economic Research, vol. 17(1), pages 41-61, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:4:p:2144-:d:503842. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.