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Subnational governments and COVID management

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  • Bandyopadhyay, Simanti
  • Kabiraj, Sujana
  • Majumder, Subrata

Abstract

In the backdrop of COVID, this paper is the first to investigate the role of different classes of indicators at the subnational (state) levels in managing the crisis, which would augment the role played by the central governments. Three distinct time periods are considered between August and November 2020. We sample three amongst the worst affected countries viz, India, Mexico and USA, belonging to three different stages of development. First, a meta frontier analysis with state level data is attempted to estimate the efficiency of COVID management using DEA. Country level efficiency scores increase over time indicating a positive role of experience in crisis management. The states in USA performed consistently better compared to states in other countries. An exploratory median analysis in the second stage shows that finance, development and governance indicators at the subnational levels prove to impact the performance in COVID management in varying degrees.

Suggested Citation

  • Bandyopadhyay, Simanti & Kabiraj, Sujana & Majumder, Subrata, 2023. "Subnational governments and COVID management," Economic Modelling, Elsevier, vol. 124(C).
    • Handle: RePEc:eee:ecmode:v:124:y:2023:i:c:s0264999323001116
    DOI: 10.1016/j.econmod.2023.106299
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    References listed on IDEAS

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    1. Dergiades, Theologos & Milas, Costas & Panagiotidis, Theodore, 2022. "Unemployment claims during COVID-19 and economic support measures in the U.S," Economic Modelling, Elsevier, vol. 113(C).
    2. Simanti Bandyopadhyay & Sujana Kabiraj & Subrata Majumder, 2021. "Performances in COVID 19 Management Across Countries: Do Subnational Finances Matter?," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper2110, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    3. Jelnov, Artyom & Jelnov, Pavel, 2022. "Vaccination policy and trust," Economic Modelling, Elsevier, vol. 108(C).
    4. Dutta, Anwesha & Fischer, Harry W., 2021. "The local governance of COVID-19: Disease prevention and social security in rural India," World Development, Elsevier, vol. 138(C).
    5. Teng, Bin & Wang, Sicong & Shi, Yufeng & Sun, Yunchuan & Wang, Wei & Hu, Wentao & Shi, Chaojun, 2022. "Economic recovery forecasts under impacts of COVID-19," Economic Modelling, Elsevier, vol. 110(C).
    6. Lewkowicz, Jacek & Woźniak, Michał & Wrzesiński, Michał, 2022. "COVID-19 and erosion of democracy," Economic Modelling, Elsevier, vol. 106(C).
    7. Juraj Nemec & David Špaček, 2020. "The Covid-19 pandemic and local government finance: Czechia and Slovakia," Journal of Public Budgeting, Accounting & Financial Management, Emerald Group Publishing Limited, vol. 32(5), pages 837-846, August.
    8. George Battese & D. Rao & Christopher O'Donnell, 2004. "A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies," Journal of Productivity Analysis, Springer, vol. 21(1), pages 91-103, January.
    9. Rajiv D. Banker & Ram Natarajan, 2008. "Evaluating Contextual Variables Affecting Productivity Using Data Envelopment Analysis," Operations Research, INFORMS, vol. 56(1), pages 48-58, February.
    10. George E. Battese & D. S. Prasada Rao, 2002. "Technology Gap, Efficiency, and a Stochastic Metafrontier Function," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 1(2), pages 87-93, August.
    11. Winkelmann, Juliane & Webb, Erin & Williams, Gemma A. & Hernández-Quevedo, Cristina & Maier, Claudia B. & Panteli, Dimitra, 2022. "European countries' responses in ensuring sufficient physical infrastructure and workforce capacity during the first COVID-19 wave," Health Policy, Elsevier, vol. 126(5), pages 362-372.
    12. Utteeyo Dasgupta & Chandan Kumar Jha & Sudipta Sarangi, 2021. "Persistent Patterns Of Behavior: Two Infectious Disease Outbreaks 350 Years Apart," Economic Inquiry, Western Economic Association International, vol. 59(2), pages 848-857, April.
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    Cited by:

    1. Barun Deb Pal & Sanjib Pohit & Meenakshi Rajeev, 2024. "Unpacking India’s fiscal responses to COVID-19: a computable general equilibrium modelling analysis," Indian Economic Review, Springer, vol. 59(1), pages 201-231, June.
    2. Cooray, Arusha & Jha, Chandan Kumar & Sarangi, Sudipta, 2024. "Good governance in troubled times: What we know and what experts say," Economic Modelling, Elsevier, vol. 136(C).

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    More about this item

    Keywords

    Subnational finance; Development indicators; COVID Management; Non-parametric methods; Meta frontier analysis;
    All these keywords.

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • H70 - Public Economics - - State and Local Government; Intergovernmental Relations - - - General
    • H71 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Taxation, Subsidies, and Revenue
    • H72 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Budget and Expenditures
    • H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare

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