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TitleTen Worlds of Welfare Capitalism: A Global Data Analysis
Creator
Subtype著By
Date Issued2023
PublisherSpringer Nature
Publication PlaceSingapore
Abstract

This book presents a new step farther into the twenty-first century, for the first time truly combining a comprehensive global data analysis with social policy theory development. The theory of global ideal-typical welfare regimes, also known as the "Ten Worlds of Welfare Regime Theory", as set forth earlier by Christian Aspalter, is now in this book tested empirically using a quantitative global data analysis for the first time. The strong and rich results fully vindicated the Ten Worlds Theory. All in all, about 150 countries are included in this test, measuring numerous variables on two main dimensions, i.e., povertization and inequality. The innovative approach of using a new indicator, Aspalter's Standardized Relative Performance Index, is applied, which facilitated the exact measurements of distances between relative performances of each variable, each dimension, each country, and each ideal-typical welfare regime (in relation to one another, respectively). In addition, one explanative and one normative meta-study is added to the book, to point to ways to understand and deal with the global culprit of inequality and, hence, poverty.

KeywordGlobal Data Analysis Ideal Types Ideal-Typical Welfare Regimes Inequality Poverty Social Policy Welfare Capitalism Welfare Regime Theory Welfare Regimes World of Welfare Capitalism
ISBN9789811978630;9789811978623;
DOI10.1007/978-981-19-7863-0
URLView source
Language英语English
Pages1-208
Scopus ID2-s2.0-85165060053
Award NameTen Worlds of Welfare Capitalism: A Global Data Analysis
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Document TypeBook
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/11625
CollectionFaculty of Humanities and Social Sciences
Affiliation
BNU-HKBU United International College,Zhuhai,Guangdong,China
First Author AffilicationBeijing Normal-Hong Kong Baptist University
Recommended Citation
GB/T 7714
Aspalter,Christian. Ten Worlds of Welfare Capitalism: A Global Data Analysis[M]. Singapore: Springer Nature, 2023.
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