Logo
Munich Personal RePEc Archive

Expectations of Social Capital and Willingness to Pay for Social Health Insurance among the Bari Speakers of Central Equatoria State, South Sudan

Gwokorok, Lado (2019): Expectations of Social Capital and Willingness to Pay for Social Health Insurance among the Bari Speakers of Central Equatoria State, South Sudan.

[img]
Preview
PDF
MPRA_paper_112401.pdf

Download (829kB) | Preview

Abstract

Abstract This study explores the effect of social capital on willingness to pay for social health insurance. Both quantitative and qualitative data were used to conceptualize; individual, community and organizational theories. Methods The data for this study is a sub sample from a dissertation study on the perspectives of social health insurance in Post Conflict Fragile State South Sudan. A sub-sample of 233 households, from C. E. State, were used. Analytical analyses of the social capital’s model were regressed. Findings An average of about $ 43.5 dollars per annum, was achieved among the five (5) counties of C.E., State: - Juba, Kejikeji, Morobo, Terekeke and Yei River. Fifty-two 52% per cent of the expected subscribers for social health insurance were at the most likely scale of paying their medical costs. The social model is statistically significant at (p-value 0.0011) of the 95% per cent confidence. Indeed, social capital is effective among post conflict C.E. state. It enhances solidarity in social health insurance. Conclusions This research has added to the literature that positive expectations of social capital among post conflict C.E. State and willingness to pay for social health insurance is doable. Assisting impoverishers at the “most likely” scale is a significant norm of the social capital tenets. The individual within the community is bonded among his / her local organizations that is fruitful to social health insurance. Households had different barriers to act and through social solidarity, self-efficacy was very significant in explaining the variations in willingness to pay.

Atom RSS 1.0 RSS 2.0

Contact us: mpra@ub.uni-muenchen.de

This repository has been built using EPrints software.

MPRA is a RePEc service hosted by Logo of the University Library LMU Munich.