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How do governments perform in facing COVID-19?

Author

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  • Ghasemi, Abdolrasoul
  • Boroumand, Yasaman
  • Shirazi, Masoud

Abstract

The issue of coronavirus outbreak in the world, though new, is equally pervasive. It has posed a new and ambiguous challenge to the economic growth of countries around the world. Undoubtedly, the efforts of countries to curb the spread of this virus and reduce the number of deaths are necessary for other strategies that will be taken in other areas, especially in the economic field. Comparing countries only based one the statistics on virus spread and mortality without considering the contextual variables, can be misleading. Thus using dynamic data envelopment analysis, this study calculated the performance of 19 selected countries in two dimensions: inefficiency of preventing coronavirus spread and inefficiency of preventing deaths caused by coronavirus from February 2 to April 12. According to the study, the inefficiency trend of preventing coronavirus spread in Singapore, South Korea, China and Australia are decreasing during the period under review and the inefficiency trend of other countries, which of course differ in terms of inefficiency, are increasing with different slopes. Also, Australia, Finland, Japan, Malaysia, Singapore and Thailand have experienced less inefficiency in preventing deaths caused by coronavirus compared to other countries. Stringency index and global health security (GHS) index have been used as well, to analyze the findings and at the end some suggestions have been presented.

Suggested Citation

  • Ghasemi, Abdolrasoul & Boroumand, Yasaman & Shirazi, Masoud, 2020. "How do governments perform in facing COVID-19?," MPRA Paper 99791, University Library of Munich, Germany, revised 20 Apr 2020.
    • Handle: RePEc:pra:mprapa:99791
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    References listed on IDEAS

    as
    1. William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), 2011. "Handbook on Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6151-8.
    2. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 2008. "The Measurement of Productive Efficiency and Productivity Growth," OUP Catalogue, Oxford University Press, number 9780195183528.
    3. Robert J. Barro & José F. Ursúa & Joanna Weng, 2020. "The Coronavirus and the Great Influenza Pandemic: Lessons from the “Spanish Flu” for the Coronavirus’s Potential Effects on Mortality and Economic Activity," NBER Working Papers 26866, National Bureau of Economic Research, Inc.
    4. Asandului, Laura & Roman, Monica & Fatulescu, Puiu, 2013. "The Efficiency of Healthcare Systems in Europe: a Data Envelopment Analysis Approach," MPRA Paper 58954, University Library of Munich, Germany, revised Apr 2014.
    5. Antonio Afonso & Ludger Schuknecht & Vito Tanzi, 2010. "Public sector efficiency: evidence for new EU member states and emerging markets," Applied Economics, Taylor & Francis Journals, vol. 42(17), pages 2147-2164.
    6. Warwick McKibbin & Roshen Fernando, 2021. "The Global Macroeconomic Impacts of COVID-19: Seven Scenarios," Asian Economic Papers, MIT Press, vol. 20(2), pages 1-30, Summer.
    7. Hauner, David & Kyobe, Annette, 2010. "Determinants of Government Efficiency," World Development, Elsevier, vol. 38(11), pages 1527-1542, November.
    8. Pulina, Manuela & Detotto, Claudio & Paba, Antonello, 2010. "An investigation into the relationship between size and efficiency of the Italian hospitality sector: A window DEA approach," European Journal of Operational Research, Elsevier, vol. 204(3), pages 613-620, August.
    9. Daron Acemoglu & Francisco A. Gallego & James A. Robinson, 2014. "Institutions, Human Capital, and Development ," Annual Review of Economics, Annual Reviews, vol. 6(1), pages 875-912, August.
    10. Miller, Michael & Toffolutti, Veronica & Reeves, Aaron, 2018. "The enduring influence of institutions on universal health coverage: an empirical investigation of 62 former colonies," LSE Research Online Documents on Economics 89834, London School of Economics and Political Science, LSE Library.
    11. Antônio Artur De Souza & Douglas Rafael Moreira & Ewerton Alex Avelar & Alisson Maciel De Faria Marques & Amanda Lucchesi Lara, 2014. "Data envelopment analysis of efficiency in hospital organisations," International Journal of Business Innovation and Research, Inderscience Enterprises Ltd, vol. 8(3), pages 316-332.
    12. Woolcock, Michael, 2018. "Enhancing Public Health Outcomes in Developing Countries: From Good Policies annd Best Practices to Better Implementation," Working Paper Series rwp18-016, Harvard University, John F. Kennedy School of Government.
    13. Jennifer Beam Dowd & Liliana Andriano & David M. Brazel & Valentina Rotondi & Per Block & Xuejie Ding & Yan Liu & Melinda C. Mills, 2020. "Demographic science aids in understanding the spread and fatality rates of COVID-19," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(18), pages 9696-9698, May.
    14. Warwick McKibbin & Alexandra Sidorenko, 2006. "Global Macroeconomic Consequences of Pandemic Influenza," CAMA Working Papers 2006-26, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    15. Yasar A. Ozcan, 2008. "Health Care Benchmarking and Performance Evaluation," International Series in Operations Research and Management Science, Springer, number 978-0-387-75448-2.
    16. Robert Stefko & Beata Gavurova & Kristina Kocisova, 2018. "Healthcare efficiency assessment using DEA analysis in the Slovak Republic," Health Economics Review, Springer, vol. 8(1), pages 1-12, December.
    17. Bardhan, Pranab, 2020. "The Chinese governance system: Its strengths and weaknesses in a comparative development perspective," China Economic Review, Elsevier, vol. 61(C).
    18. Miller, Michael & Toffolutti, Veronica & Reeves, Aaron, 2018. "The enduring influence of institutions on universal health coverage: An empirical investigation of 62 former colonies," World Development, Elsevier, vol. 111(C), pages 270-287.
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    Cited by:

    1. Bodin Singpai & Desheng Wu, 2020. "Using a DEA–AutoML Approach to Track SDG Achievements," Sustainability, MDPI, vol. 12(23), pages 1-26, December.
    2. Henriques, C.O. & Gouveia, M.C., 2022. "Assessing the impact of COVID-19 on the efficiency of Portuguese state-owned enterprise hospitals," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    3. Jiaji Pan & Ruilin Fan & Hanlu Zhang & Yi Gao & Zhiquan Shu & Zhongxiang Chen, 2022. "Investigating the Effectiveness of Government Public Health Systems against COVID-19 by Hybrid MCDM Approaches," Mathematics, MDPI, vol. 10(15), pages 1-20, July.

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    More about this item

    Keywords

    Coronavirus; Covid19; DEA; Window Analysis; Efficiency; Government;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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