Determinants for Rural Households Willingness to Pay for Community Based Health Insurance: The case of Boloso Sore District in Woliata Zone, South Ethiopia, Ethiopia

Amanuel Atile; Nega Mathewos; Sagarika Mohanty; Naomy Nasambu Simiyu; Marisennayya Senapathy

doi:10.34293/sijash.v11i4.7398

Amanuel Atile Monitoring, Evaluation, Learning & Accountability Coordinator, World Vision Ethiopia (WVE), Wolaita Zone, Ethiopia, East Africa
Nega Mathewos Assistant Professor, College of Business and Economics, Wolaita Sodo University, Ethiopia, East Africa
Sagarika Mohanty Ph.D. Research Scholar, KIIT School of Management, Bhubaneswar, India https://orcid.org/0000-0001-5031-5615
Naomy Nasambu Simiyu Ph. D. Research Scholar, School of Management Studies, Cochin University of Science and Technology, Cochin, Kerala, India https://orcid.org/0000-0002-6366-7844
Marisennayya Senapathy Associate Professor, Department of Rural Development and Agricultural Extension, College of Agriculture, Wolaita Sodo University, Ethiopia, East Africa https://orcid.org/0000-0002-8371-3035

DOI: https://doi.org/10.34293/sijash.v11i4.7398

Keywords: Rural Households, Binary logit model, Willingness to Pay, CBHIs

Abstract

Transforming health system of rural households through Community Based Health Insurance package is one of the interventions by the government of Ethiopia to address rural community. However, majority of rural households not enrolled in community based health insurance program in Boloso Sore district. This study, thus designed to assess the existing situation of households WTP and to assess factors determining WTP for CBHI in Boloso Sore district. Both quantitative and qualitative data were collected from sampled households for analysis. The data were collected from both primary and secondary data sources. To do so, semi-structured household interview questions and check lists were developed and conducted with sampled respondents. Descriptive statistics employed following econometric analysis of the data collected from 386 households selected using simple random sampling from nine Kebeles of Boloso Sore district. Binary logit regression analysis showed that age, education level, employment status, saving practice, land size, distance to health facility and access to health education have positive and significant association with WTP for CBHIs. Therefore, the findings indicated that health education, saving practices and road facility need to be promoted by the government to improve CBHIs of the rural community.