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Social networks near and far: The role of bonding and bridging social capital for assets of the rural poor
Author(s) -
Mogues Tewodaj
Publication year - 2019
Publication title -
review of development economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.531
H-Index - 50
eISSN - 1467-9361
pISSN - 1363-6669
DOI - 10.1111/rode.12529
Subject(s) - economics , bridging (networking) , social capital , panel data , leverage (statistics) , asset (computer security) , poverty trap , bond , poverty , robustness (evolution) , systematic risk , generalized method of moments , monetary economics , financial economics , econometrics , finance , economic growth , computer network , social science , biochemistry , chemistry , computer security , machine learning , sociology , computer science , gene
With formal insurance and credit markets either absent or inaccessible to rural agents in most poor rural economies, social networks play a highly important role in mitigating the risks that agricultural households face. These kinds of informal insurance schemes are presumed to be most effective in the face of idiosyncratic risk. However, social mechanisms also exist in developing countries that may reduce locally correlated risk such as the adverse economic effects of climatic conditions that affect multiple residents in a village. This paper analyzes the role of localized (bonding) and of spatially dispersed (bridging) social capital in mitigating the impact of idiosyncratic and of locally correlated shocks on farm households’ livestock endowments. Using dynamic panel generalized method of moments ( GMM ) system estimation with seven‐period panel dataset of over 400 households, we find that bonding social capital is able to protect households’ livestock assets against idiosyncratic shocks, but bridging social capital does not play a role in mitigating the impact of correlated shocks. The results hold up to multiple robustness checks. A test of different hypotheses about the nature of these assets’ trajectories rejects the asset poverty trap hypothesis, and instead finds that livestock asset dynamics are characterized by a single stable equilibrium.