Social Capital and Loneliness in Welfare State Regimes Before and After the Global Financial Crisis: Results Based on the European Social Survey

Fredrica Nyqvist*, Mikael Nygård, Thomas Scharf

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedingChapterScientificpeer-review

Abstract

Our prime interest in this chapter concerns the concepts of social capital and loneliness in older people. The starting point is that both individual-level social capital resources and welfare state contexts are important in understanding loneliness. We study two commonly used aspects of social capital, structural and cognitive, and their association with absence of loneliness by analyzing the European Social Survey data for five different welfare regimes. We focus on two time points, one before and one after the Global Financial Crisis of 2008–2009. Our analyses suggest that there are differences in social capital, in terms of social contacts and trust, and loneliness between the five welfare regimes. A negative trend of social contacts was observed, whereas the results were mixed for social trust and loneliness. Social capital was associated with absence of loneliness; however, this association differed between welfare regimes. The findings are discussed within the framework of welfare state regime contexts.

Original languageEnglish
Title of host publicationSocial Capital and Subjective Well-Being. Societies and Political Orders in Transition
EditorsAnna Almakaeva, Alejandro Moreno, Rima Wilkes
PublisherSpringer
Pages237-259
ISBN (Electronic)978-3-030-75813-4
ISBN (Print)978-3-030-75812-7
DOIs
Publication statusPublished - 2021
MoE publication typeA3 Part of a book or another research book

Publication series

NameSocieties and Political Orders in Transition
ISSN (Print)2511-2201
ISSN (Electronic)2511-221X

Fingerprint

Dive into the research topics of 'Social Capital and Loneliness in Welfare State Regimes Before and After the Global Financial Crisis: Results Based on the European Social Survey'. Together they form a unique fingerprint.

Cite this