Analysis demonstrates how social capital influences risk-taking behaviors in cooperative networks, revealing complex dynamics.
Throughout human evolutionary history, individuals have faced two fundamental challenges under uncertainty: deciding whether to take risks and managing risks through cooperation. While both risk-taking and social risk management have been widely studied, less attention has been given to how these two processes are linked—specifically, how risk-taking itself may be shaped by social networks. We test the "social capital buffer" hypothesis, which posits that greater social connectedness promotes risk-taking by buffering against negative outcomes. Analyzing social networks and risk preferences among 140 individuals in rural Bangladesh whose livelihoods range from farming to wage labor and small-scale trade, we identify distinct pathways through which social capital influences risk preference. Highly clustered individuals in financial support networks exhibit greater risk preference, suggesting that clustering facilitates risk-taking by ensuring resource circulation within a tight-knit group. In contrast, individuals with more support-receiving ties in material support networks are more risk-averse, indicating that material support functions as informal social insurance reducing reliance on risky decisions. Finally, reciprocity in material support networks promotes risk-taking only among wealthier individuals, highlighting how individual economic resources interact with social capital to shape risk-taking. These findings reveal that social capital does not uniformly promote or constrain risk-taking but serves distinct adaptive functions based on network structure, economic conditions, and resource types, balancing risk-taking and risk-avoidance to help individuals successfully navigate uncertainty.
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Hwang et al. (2025) studied this question.
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