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The impact of state capacity on the cross-country variations in COVID-19 vaccination rates

Author

Listed:
  • Dragan Tevdovski

    (University Ss. Cyril and Methodius in Skopje)

  • Petar Jolakoski

    (Association for Research and Analysis – ZMAI)

  • Viktor Stojkoski

    (University Ss. Cyril and Methodius in Skopje
    Association for Research and Analysis – ZMAI)

Abstract

The initial period of vaccination shows strong heterogeneity between countries’ vaccinations rollout, both in the terms of the start of the vaccination process and in the dynamics of the number of people that are vaccinated. A predominant thesis for this observation is that a key determinant of the swift and extensive vaccine rollout is state capacity. Here, we utilize two measures that quantify different aspects of the state capacity: (i) the external capacity (measured through the soft power of the country) and (ii) the internal capacity (measured via the country’s government effectiveness) and provide an empirical test for their relationship with the coronavirus vaccination outcome in the initial period (up to 31st March 2021). By using data on 128 countries and a two-step Heckman approach, we find that the soft power is a robust determinant of whether a country has started with the vaccination process. In addition, the government effectiveness is a key factor that determines vaccine roll-out. Altogether, our findings are in line with the hypothesis that state capacity determines the observed heterogeneity between countries in the initial period of COVID-19 vaccines rollout. As such, they are a stark reminder for the need for transparent and fair global response regarding fair and equitable availability of vaccines to every country.

Suggested Citation

  • Dragan Tevdovski & Petar Jolakoski & Viktor Stojkoski, 2022. "The impact of state capacity on the cross-country variations in COVID-19 vaccination rates," International Journal of Health Economics and Management, Springer, vol. 22(3), pages 237-255, September.
  • Handle: RePEc:kap:ijhcfe:v:22:y:2022:i:3:d:10.1007_s10754-021-09319-0
    DOI: 10.1007/s10754-021-09319-0
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    References listed on IDEAS

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    1. Daron Acemoglu & Camilo García-Jimeno & James A. Robinson, 2015. "State Capacity and Economic Development: A Network Approach," American Economic Review, American Economic Association, vol. 105(8), pages 2364-2409, August.
    2. Heckman, James J, 1974. "Shadow Prices, Market Wages, and Labor Supply," Econometrica, Econometric Society, vol. 42(4), pages 679-694, July.
    3. Cingolani, Luciana & Thomsson, Kaj & de Crombrugghe, Denis, 2015. "Minding Weber More Than Ever? The Impacts of State Capacity and Bureaucratic Autonomy on Development Goals," World Development, Elsevier, vol. 72(C), pages 191-207.
    4. Timothy Besley & Torsten Persson, 2010. "State Capacity, Conflict, and Development," Econometrica, Econometric Society, vol. 78(1), pages 1-34, January.
    5. Khemani,Stuti, 2019. "What Is State Capacity ?," Policy Research Working Paper Series 8734, The World Bank.
    6. Viktor Stojkoski & Zoran Utkovski & Petar Jolakoski & Dragan Tevdovski & Ljupco Kocarev, 2020. "Correlates of the country differences in the infection and mortality rates during the first wave of the COVID-19 pandemic: Evidence from Bayesian model averaging," Papers 2004.07947, arXiv.org, revised Jan 2022.
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    Cited by:

    1. Chiara F. Del Bo, 2023. "Institutional quality and COVID-19 vaccination: does decentralization matter?," Letters in Spatial and Resource Sciences, Springer, vol. 16(1), pages 1-24, December.
    2. Orhan Erdem & Sukran Erdem & Kelly Monson, 2023. "Children, vaccines, and financial incentives," International Journal of Health Economics and Management, Springer, vol. 23(4), pages 537-552, December.
    3. Dragan Tevdovski & Petar Jolakoski & Viktor Stojkoski, 2021. "Determinants of budget deficits: Focus on the effects from the COVID-19 crisis," Papers 2105.14959, arXiv.org.
    4. Ogundari, Kolawole, 2023. "Testing Club Convergence in COVID-19 Vaccine Doses Administered in the United States," MPRA Paper 116666, University Library of Munich, Germany.

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    More about this item

    Keywords

    State capacity; COVID-19; Cross-country vaccination heterogeneity; Heckman selection;
    All these keywords.

    JEL classification:

    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • F51 - International Economics - - International Relations, National Security, and International Political Economy - - - International Conflicts; Negotiations; Sanctions
    • F63 - International Economics - - Economic Impacts of Globalization - - - Economic Development

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