Literature DB >> 31729694

Does Kin-Selection Theory Help to Explain Support Networks among Farmers in South-Central Ethiopia?

Lucie Clech1,2, Ashley Hazel3, Mhairi A Gibson4.   

Abstract

Social support networks play a key role in human livelihood security, especially in vulnerable communities. Here we explore how evolutionary ideas of kin selection and intrahousehold resource competition can explain individual variation in daily support network size and composition in a south-central Ethiopian agricultural community. We consider both domestic and agricultural help across two generations with different wealth-transfer norms that yield different contexts for sibling competition. For farmers who inherited land rights from family, firstborns were more likely to report daily support from parents and to have larger nonparental kin networks (n = 180). Compared with other farmers, firstborns were also more likely to reciprocate their parents' support, and to help nonparental kin without reciprocity. For farmers who received land rights from the government (n = 151), middle-born farmers reported more nonparental kin in their support networks compared with other farmers; nonreciprocal interactions were particularly common in both directions. This suggests a diversification of adult support networks to nonparental kin, possibly in response to a long-term parental investment disadvantage of being middle-born sons. In all instances, regardless of inheritance, lastborn farmers were the most disadvantaged in terms of kin support. Overall, we found that nonreciprocal interactions among farmers followed kin selection predictions. Direct reciprocity explained a substantial part of the support received from kin, suggesting the importance of the combined effects of kin selection and reciprocity for investment from kin.

Entities:  

Keywords:  Birth order; Inequalities; Kin selection; Reciprocity; Social capital; Support network

Mesh:

Year:  2019        PMID: 31729694     DOI: 10.1007/s12110-019-09352-6

Source DB:  PubMed          Journal:  Hum Nat        ISSN: 1045-6767


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