Overcoming hybridisation in global welfare regime classifications: lessons from a single case study

Abstract

The hybridisation of welfare regimes is a critical issue in social policy literature due to the lack of a uniform dependent variable and the comparative, international scope of social policy analysis, and data availability. We argue that what is presented in the global welfare regime literature as an analytical problem of classification or transitioning could also, in fact, be treated as a methodological issue. Based on this, we aim to establish a criterion for determining the membership of a welfare regime by capturing the presence of hybridisation of welfare regimes in a given country at a particular time. We present a novel methodological approach based on multistage sampling to capture the hybridisation of distinct welfare regimes and determine the most populous cluster in Pakistan. Establishing criteria for capturing and determining welfare regime membership can improve the understanding of welfare regime dynamics and factors that contribute to hybridisation. Ultimately, this knowledge can inform policy decisions and contribute to the development of more effective welfare systems for diverse populations.