Testing the Club Convergence Dynamics of the COVID-19 Vaccination Rates Across the OECD Countries

• Main Authors: Weibin Xu (Author), Chi Keung Marco Lau (Author), Dongna Zhang (Author), Oladoke Oke (Author)
• Format: Book
• Published: Frontiers Media S.A., 2022-05-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.
• Notes: 2296-2565; 10.3389/fpubh.2022.872561
• Keywords: COVID-19 pandemic; distribution of vaccines; vaccination rates; economic growth model; cluster convergence analysis; OECD countries; Public aspects of medicine; RA1-1270
• Source: Frontiers in Public Health, Vol 10 (2022)

Vaccines are essential to create a more resilient economic growth model. Ending the COVID-19 pandemic requires a more coordinated, effective, and equitable distribution of vaccines across the countries. Therefore, governments are in a race to increase the vaccination rates of the population. Given this backdrop, this paper focuses on the daily vaccinations per million data from March 1, 2021, to October 15, 2021, in 37 Organization for Economic Co-operation and Development (OECD) countries and examines the stochastic properties of the vaccination rates. We adopt the club convergence econometric methodology to investigate the club convergence paths of COVID-19 vaccination rates in OECD regions. The results indicate a significant convergence of the vaccination rates in seven clubs across 30 OECD countries. Moreover, there are seven OECD countries demonstrate non-convergent characteristics, which raises questions about ineffective vaccine balance. In addition, the paper also discusses the potential implications for the post-COVID-19 era.