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The determinants of the willingness-to-pay for community-based prepayment scheme in rural Cameroon

Author

Listed:
  • Hermann Pythagore Pierre Donfouet
  • Ephias Makaudze
  • Pierre-Alexandre Mahieu

  • Éric Malin

    (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

Abstract

In rural Cameroon, many people have no access to quality healthcare services. This is largely attributed to lack of private out-of-pocket payment to finance healthcare services. A community-based prepayment health insurance scheme may be implemented to improve healthcare access in rural areas.This study examines the determinants of willingnessto-pay for a community-based prepayment healthcare system using a contingent valuation method conducted in rural Cameroon. To mitigate potential hypothetical bias, a consequential script is introduced in the questionnaire. The results indicate age, religion, profession, knowledge of community-based health insurance, awareness of usual practice in rural areas, involvement in association and disposable income are the key determinants of willingness to pay for a prepayment health scheme. On average, willingness to pay for the scheme by rural households is 1011 CFA francs/person/month (2.15 US dollars). The results underlie two important implications: first, there is substantial demand for a community healthcare prepayment scheme by rural poor households in Cameroon; second, rural households are averse to health shocks and hence they are willing to sacrifice monthly premium payments to protect themselves (and their households) from unforeseen health-related risks. If government could engage in social marketing strategies such as mass media campaigns and awareness, this could prove vital for encouraging participation by the rural poor in healthcare prepayment scheme in Cameroon.

Suggested Citation

  • Hermann Pythagore Pierre Donfouet & Ephias Makaudze & Pierre-Alexandre Mahieu & Éric Malin, 2011. "The determinants of the willingness-to-pay for community-based prepayment scheme in rural Cameroon," Post-Print halshs-00630039, HAL.
  • Handle: RePEc:hal:journl:halshs-00630039
    DOI: 10.1007/s10754-011-9097-3
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    Cited by:

    1. Donfouet, Hermann Pythagore Pierre & Mohamed, Shukri F. & Otieno, Peter & Wambiya, Elvis & Mutua, Martin Kavao & Danaei, Goodarz, 2020. "Economic valuation of setting up a social health enterprise in urban poor-resource setting in Kenya," Social Science & Medicine, Elsevier, vol. 266(C).
    2. Petro G. Nzowa & Felix A. Nandonde & Somo M. L. Seimu, 2023. "Mediation effect of trust on willingness to pay for health insurance among co-operative members in Tanzania," Future Business Journal, Springer, vol. 9(1), pages 1-15, December.
    3. El Aida, Kawtar & El Kadiri, Mounir & Mourji, Fouzi, 2015. "The demand for health microinsurance services: assessment of the contribution effort using microeconomic data," MPRA Paper 68470, University Library of Munich, Germany.
    4. Yeboah, Augustine Kwadwo & Obeng, Camara Kwasi, 2016. "Effect of financial literacy on willingness to pay for micro-insurance by commercial market business operators in Ghana," MPRA Paper 70135, University Library of Munich, Germany.
    5. Amanuel Atile & Nega Mathewos & Sagarika Mohanty & Naomy Nasambu Simiyu & Marisennayya Senapathy, 2024. "Determinants for Rural Households Willingness to Pay for Community Based Health Insurance: The case of Boloso Sore District in Woliata Zone, South Ethiopia, Ethiopia," Shanlax International Journal of Arts, Science and Humanities, Shanlax Journals, vol. 11(4), pages 1-12, April.
    6. Dosse Mawussi Djahini-Afawoubo & Esso-Hanam Atake, 2018. "Extension of mandatory health insurance to informal sector workers in Togo," Health Economics Review, Springer, vol. 8(1), pages 1-13, December.
    7. Glenn W. Harrison & Jia Min Ng, 2019. "Behavioral insurance and economic theory: A literature review," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 22(2), pages 133-182, July.
    8. Pierre-Alexandre Mahieu & Romain Craste & Bengt Kriström & Pere Riera, 2014. "Non-market valuation in France: An overview of the research activity," Working Papers hal-01087365, HAL.
    9. Michael King & Anuj Pratab Singh, 2018. "Understanding farmers' valuation of agricultural insurance: Evidence from Vietnam," WIDER Working Paper Series wp-2018-93, World Institute for Development Economic Research (UNU-WIDER).
    10. Alex OKOLOUMA, 2022. "Autoprotection et assurance des travailleurs infor-mels au Cameroun : substituabilité ou complémenta-rité ?," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 56, pages 91-109.
    11. Jacopo Bonan & Philippe LeMay-Boucher & Michel Tenikue, 2014. "Households' Willingness to Pay for Health Microinsurance and its Impact on Actual Take-up: Results from a Field Experiment in Senegal," Journal of Development Studies, Taylor & Francis Journals, vol. 50(10), pages 1445-1462, November.
    12. Qun Wang & Yi Zhou & Xinrui Ding & Xiaohua Ying, 2017. "Demand for Long-Term Care Insurance in China," IJERPH, MDPI, vol. 15(1), pages 1-15, December.
    13. David Mark Dror, 2018. "Systematic Review of Willingness to Pay for Health Insurance in Low and Middle Income Countries," World Scientific Book Chapters, in: Financing Micro Health Insurance Theory, Methods and Evidence, chapter 8, pages 151-168, World Scientific Publishing Co. Pte. Ltd..
    14. Nathanael Ojong, 2019. "Healthcare Financing in Rural Cameroon," Societies, MDPI, vol. 9(4), pages 1-12, November.
    15. Shono, Aiko & Kondo, Masahide & Ohmae, Hiroshi & Okubo, Ichiro, 2014. "Willingness to pay for public health services in rural Central Java, Indonesia: Methodological considerations when using the contingent valuation method," Social Science & Medicine, Elsevier, vol. 110(C), pages 31-40.
    16. Anuj Singh & Michael King, 2018. "Understanding farmers’ valuation of agricultural insurance: Evidence from Vietnam," WIDER Working Paper Series 93, World Institute for Development Economic Research (UNU-WIDER).
    17. Sibylle Gerstl & Justin Sauter & Joseph Kasanda & Alfred Kinzelbach, 2013. "Who Can Afford Health Care? Evaluating the Socio-Economic Conditions and the Ability to Contribute to Health Care in a Post-Conflict Area in DR Congo," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-1, October.
    18. Ying Zhang & Rui Wang & Xinyi Yao, 2019. "Assessing determinants of health care prepayment in China: Economic growth or government willingness? New evidence from the continuous wavelet analysis," International Journal of Health Planning and Management, Wiley Blackwell, vol. 34(1), pages 694-712, January.

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    Keywords

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    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs

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