VOOZH about

URL: https://pubmed.ncbi.nlm.nih.gov/35091867/

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


Clipboard, Search History, and several other advanced features are temporarily unavailable.
Skip to main page content
👁 Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

👁 Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Add to Collections

Add to My Bibliography

Your saved search

Create a file for external citation management software

Your RSS Feed

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.

Keywords: COVID-19; Cross-country vaccination heterogeneity; Heckman selection; State capacity.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest and no competing interest.

Figures

👁 Fig. 1
Fig. 1
Boxplots for the Soft presence index (Countries with soft presence above 200 are excluded)
👁 Fig. 2
Fig. 2
Relationship between government effectiveness and vaccination rate. The line shows the linear relationship between the variables (significant at 1%)
👁 Fig. 3
Fig. 3
Correlation matrix between the studied variables

References

    1. Acemoglu D, García-Jimeno C, Robinson JA. State capacity and economic development: A network approach. American Economic Review. 2015;105(8):2364–2409. doi: 10.1257/aer.20140044. - DOI
    1. Besley T, Persson T. State capacity, conflict, and development. Econometrica. 2010;78(1):1–34. doi: 10.3982/ECTA8073. - DOI
    1. Cingolani L. The role of state capacity in development studies. Journal of Development Perspectives. 2018;2(1–2):88–114. doi: 10.5325/jdevepers.2.1-2.0088. - DOI
    1. Cingolani L, Thomsson K, De Crombrugghe D. Minding Weber more than ever? The impacts of state capacity and bureaucratic autonomy on development goals. World Development. 2015;72:191–207. doi: 10.1016/j.worlddev.2015.02.016. - DOI
    1. Gelb LH. GDP now matters more than force - A U.S. foreign policy for the age of economic power. Foreign Policy. 2010;89:35.

LinkOut - more resources

Cite

NCBI Literature Resources

MeSH PMC Bookshelf Disclaimer

The PubMed wordmark and PubMed logo are registered trademarks of the U.S. Department of Health and Human Services (HHS). Unauthorized use of these marks is strictly prohibited.