This paper explores the contextual and government response factors to the first-wave of the COVID-19 pandemic for 25 OECD nations using fuzzy-set Qualitative Comparative Analysis (QCA). It considers configurations of: obesity rates; proportions of elderly people; inequality rates; country travel openness; and COVID-19 testing regimes, against outcomes of COVID-19 mortality and case rates. It finds COVID-19 testing per case to be at the root of sufficient solutions for successful country responses, combined, in the most robust solutions, with either high proportions of elderly people or low international travel levels at the start of pandemic. The paper then locates its sample countries in relation to existing welfare typologies across two dimensions based on total social expenditure and proportional differences between the GINI coefficient before and after taxes and transfers. It finds that countries generally categorised as 'liberal' in most existing typologies did the most poorly in their first-wave COVID-19 response.
|Number of pages||15|
|Journal||Journal of International and Comparative Social Policy|
|Early online date||30 Mar 2021|
|Publication status||E-pub ahead of print - 30 Mar 2021|