IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/99791.html
   My bibliography  Save this paper

How do governments perform in facing COVID-19?

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/99791/1/MPRA_paper_99791.pdf
    File Function: original version
    Download Restriction: no
    File URL: https://mpra.ub.uni-muenchen.de/99844/1/MPRA_paper_99791.pdf
    File Function: revised version
    Download Restriction: no
    ---><---

    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, April.
    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, April.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    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. Pierre Pestieau, 2009. "Assessing The Performance Of The Public Sector," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 80(1), pages 133-161, March.
    2. Jean-François Brun & Constantin Thierry Compaore, 2021. "Public Expenditures Efficiency On Education Distribution in Developing Countries," Working Papers hal-03116615, HAL.
    3. Iyad Dhaoui, 2019. "Healthcare system efficiency and its determinants: A two-stage Data Envelopment Analysis (DEA) from MENA countries," Working Papers 1320, Economic Research Forum, revised 21 Aug 2019.
    4. Martin Bod’a & Martin Dlouhý & Emília Zimková, 2018. "Unobservable or omitted production variables in data envelopment analysis through unit-specific production trade-offs," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(4), pages 813-846, December.
    5. Aleksandar Medarević & Dejana Vuković, 2021. "Efficiency and Productivity of Public Hospitals in Serbia Using DEA-Malmquist Model and Tobit Regression Model, 2015–2019," IJERPH, MDPI, vol. 18(23), pages 1-22, November.
    6. Jean-François Brun & Constantin Thierry Compaore, 2021. "Public Expenditures Efficiency On Education Distribution in Developing Countries," CERDI Working papers hal-03116615, HAL.
    7. António Afonso & José Alves, 2023. "Are fiscal consolidation episodes helpful for public sector efficiency?," Applied Economics, Taylor & Francis Journals, vol. 55(31), pages 3547-3560, July.
    8. Di Bartolomeo, Giovanni & D'Imperio, Paolo & Felici, Francesco, 2022. "The fiscal response to the Italian COVID-19 crisis: A counterfactual analysis," Journal of Macroeconomics, Elsevier, vol. 73(C).
    9. Emmanuel Apergis & Nicholas Apergis, 2021. "The impact of COVID-19 on economic growth: evidence from a Bayesian Panel Vector Autoregressive (BPVAR) model," Applied Economics, Taylor & Francis Journals, vol. 53(58), pages 6739-6751, December.
    10. Ablam Estel APETI & Bao-We-Wal BAMBE & Jean Louis COMBES, 2022. "On the Macroeconomic Effects of Fiscal Reforms : Fiscal Rules and Public Expenditure Efficiency," LEO Working Papers / DR LEO 2985, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    11. António Afonso & José Alves & Najat Bazah, 2024. "Public Sector Efficiency and the Functions of the Government," CESifo Working Paper Series 11487, CESifo.
    12. Takahashi, Hidenori & Yamada, Kazuo, 2021. "When the Japanese stock market meets COVID-19: Impact of ownership, China and US exposure, and ESG channels," International Review of Financial Analysis, Elsevier, vol. 74(C).
    13. Bonasia, Mariangela & Kounetas, Konstantinos & Oreste, Napolitano, 2020. "Assessment of regional productive performance of European health systems under a metatechnology framework," Economic Modelling, Elsevier, vol. 84(C), pages 234-248.
    14. Titl, Vitezslav & De Witte, Kristof & Geys, Benny, 2021. "Political donations, public procurement and government efficiency," World Development, Elsevier, vol. 148(C).
    15. David E. Bloom & Michael Kuhn & Klaus Prettner, 2022. "Modern Infectious Diseases: Macroeconomic Impacts and Policy Responses," Journal of Economic Literature, American Economic Association, vol. 60(1), pages 85-131, March.
    16. Andrew Atkeson, 2020. "What Will be the Economic Impact of COVID-19 in the US? Rough Estimates of Disease Scenarios," Staff Report 595, Federal Reserve Bank of Minneapolis.
    17. Cosmin Eugen ENACHE, 2012. "The efficiency of expenditure-related redistributive policies in the European countries," Timisoara Journal of Economics, West University of Timisoara, Romania, Faculty of Economics and Business Administration, vol. 5(18), pages 380-394.
    18. Imdad, Kashif & Sahana, Mehebub & Rana, Md Juel & Haque, Ismail & Patel, Priyank Pravin & Pramanik, Malay, 2020. "The COVID-19 pandemic's footprint in India: An assessment on the district-level susceptibility and vulnerability," MPRA Paper 100727, University Library of Munich, Germany.
    19. Del Prete, Davide & Ghins, Léopold & Magrini, Emiliano & Pauw, Karl, 2019. "Land consolidation, specialization and household diets: Evidence from Rwanda," Food Policy, Elsevier, vol. 83(C), pages 139-149.
    20. Xiaofeng Shi & Jianying Li & Fei Wang & Hasan Dinçer & Serhat Yüksel, 2019. "A Hybrid Decision-Making Approach for the Service and Financial-Based Measurement of Universal Health Coverage for the E7 Economies," IJERPH, MDPI, vol. 16(18), pages 1-20, September.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:pra:mprapa:99791. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.