JOURNAL ARTICLE
Socialism and the Modernization Hypothesis: Changes in Attitudes toward Immigration across Birth Cohorts by Type of Welfare State.
Published In: Communist & Post-Communist Studies, 2024, v. 57, n. 1. P. 19 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Kratz, Fabian 3 of 3
Abstract
In Europe, people from post-Soviet countries tend to hold more negative attitudes toward immigration than people from Western societies. This pattern is also evident in the former East and West Germany. In line with the modernization hypothesis, previous research shows that worldviews have become more liberal across generations in Western societies over the last century. This study examines whether such processes of liberalization have taken place at a different pace in Western societies and in post-Soviet societies. To this end, I assess whether changes in attitudes toward immigration across birth cohorts differ between residents of post-Soviet countries and inhabitants of other types of welfare states. Using data from the European Social Survey, the German Socio-Economic Panel Study, and the German General Social Survey, this study shows that the pattern of later-born cohorts holding more liberal attitudes toward immigration is less pronounced in post-Soviet states than in other types of welfare states. These findings have implications for research on attitude change over time and the long-term persistence of communist practices, behaviors, values, and norms. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Communist & Post-Communist Studies. 2024/03, Vol. 57, Issue 1, p19
- Document Type:Article
- Subject Area:History
- Publication Date:2024
- ISSN:0967-067X
- DOI:10.1525/cpcs.2024.2046013
- Accession Number:175835334
- Copyright Statement:Copyright of Communist & Post-Communist Studies is the property of University of California Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.