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Understanding the Multilevel Foundation of Social Trust in Rural China: Evidence from the China General Social Survey
Author(s) -
Huhe Narisong
Publication year - 2014
Publication title -
social science quarterly
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.482
H-Index - 90
eISSN - 1540-6237
pISSN - 0038-4941
DOI - 10.1111/ssqu.12049
Subject(s) - china , social trust , general social survey , multilevel model , foundation (evidence) , survey data collection , civility , set (abstract data type) , social psychology , empirical research , sociology , psychology , geography , social capital , political science , social science , philosophy , statistics , mathematics , epistemology , machine learning , politics , computer science , law , programming language , archaeology
Objective In recent years, there has been a fast‐growing body of literature on the sources of social trust. However, empirical studies focusing on non‐Western societies are rare. To fill the gap, this study is intended to explore both the individual and contextual sources of social trust in rural China. Methods This study uses hierarchical linear models to analyze the multilevel foundations of social trust based upon a unique two‐level data set from the China General Social Survey (CGSS) conducted nationwide at both the individual and village level in rural China. Results The results indicate that Chinese villagers markedly differentiate between the particularized and generalized forms of trust. While particularized trust is strongly influenced by both personal experiences and subjective orientations, generalized trust is closely associated with one's basic values (i.e., norms of civility). Moreover, both types of trust are very unevenly distributed in rural China, and geographically dispersed villages tend to strongly constrain the development of social trust. Conclusion Given the complex nature of social trust, these results suggest that more sophisticated studies should be introduced to map how its forms and magnitudes vary across localities.