A global assessment of the relationship between religiosity and financial satisfaction


Creative Commons License

Kose T., Cinar K.

Social Science Journal, cilt.61, sa.2, ss.347-367, 2024 (SSCI) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 61 Sayı: 2
  • Basım Tarihi: 2024
  • Doi Numarası: 10.1080/03623319.2020.1808769
  • Dergi Adı: Social Science Journal
  • Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus, Academic Search Premier, IBZ Online, International Bibliography of Social Sciences, American History and Life, Business Source Elite, Business Source Premier, Communication Abstracts, Historical Abstracts, PAIS International, Political Science Complete, Social services abstracts, Sociological abstracts, Violence & Abuse Abstracts, Worldwide Political Science Abstracts
  • Sayfa Sayıları: ss.347-367
  • Anahtar Kelimeler: Financial satisfaction, individual religiosity, social religiosity, secularization thesis, LIFE SATISFACTION, INVOLVEMENT, DECISION, MATTER
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

This article explores the economics of religion with a specific focus on divergent effects of religiosity on people’s financial satisfaction. There is ever-growing literature on the sociology of religion-life satisfaction nexus but there is still dearth of research on how religiosity may affect citizens’ outlook toward their economic affluence and finances. We argue that religiosity has to be understood under two major vantage points, through which it can affect financial satisfaction. Specifically, we maintain that social, community-related religiosity and individual, devoutness-related religiosity have distinctly pivotal and empirically quadratic effects on people’s financial satisfaction. This finding is illuminating to understand how social dynamics may shape people’s stance and outlook toward their subjective financial well-being and how this may have repercussions at the individual and societal levels. We test our arguments in light of the global World Values Survey data via a multilevel estimation framework.