Skip to content
Research Article Open access CC BY 4.0

Impact of Publicly Funded Health Insurance Scheme on Risk Coping Strategies against Health Expenses in Kerala

Anushree S. Panikkassery

Asian Journal of Economics, Business and Accounting · pp. 17–28 · Published 18 Jan 2021

10.9734/ajeba/2021/v21i130336

Abstract

The aim of the paper is to determine whether publicly funded insurance schemes have significantly enabled poor households to come out from expensive coping strategies such as borrowing and sale of assets in the State of Kerala, India. This cross-sectional study used data collected from a primary survey in the Palakkad district of Kerala. Duration of the study is from January 2018 to January 2019. A total sample of 408 poor households including both insured and uninsured were collected in a primary survey using a structured schedule. Probit and log-linear regressions were employed to determine the impact of insurance coverage for the poor on risk coping strategies such as borrowing and sale of assets. Probit regression results showed that uninsured households have around 32% higher probability of borrowing (P value-0.003) compared to insured households whereas sale of assets as a coping strategy did not yield any significant results. Results showed a negative significant relationship between insurance coverage and risk coping strategy of borrowing. The amount and probability of borrowing were found significantly lower among insured households for inpatient care. But the sale of assets did not have any significant impact from the insurance coverage.

Risk coping strategies publicly funded health insurance borrowing sale of assets health shock health expenses.

References (22)

  1. 1 Income Risk, Coping Strategies, and Safety Nets [DOI]
  2. 2 Equity and health sector reforms: can low-income countries escape the medical poverty trap? [DOI]
  3. 3 Do Community-based Health Insurance Schemes Improve Poor People’s Access to Health Care? Evidence From Rural Senegal [DOI]
  4. 4 Who pays for health care in Asia? [DOI]
  5. 5 Borrowing And Selling To Pay For Health Care In Low- And Middle-Income Countries [DOI]
  6. 6 Out‐of‐pocket health expenditure and debt in poor households: evidence from Cambodia [DOI]
  7. 7 Economic impacts of health shocks on households in low and middle income countries: a review of the literature [DOI]
  8. 8 The impoverishing effect of healthcare payments in India: new methodology and findings.
  9. 9 Quantifying the financial burden of households’ out-of-pocket payments on medicines in India: a repeated cross-sectional analysis of National Sample Survey data, 1994–2014 [DOI]
  10. 10 Impact evaluation of India's ‘Yeshasvini’ community‐based health insurance programme [DOI]
  11. 11 State health insurance and out-of-pocket health expenditures in Andhra Pradesh, India [DOI]
  12. 12 Measuring the impact of health insurance with a correction for selection bias—a case study of Ecuador [DOI]
  13. 13 Improving Access to Finance for India's Rural Poor [DOI]
  14. 14 Economic consequences of ill-health for households in northern rural India [DOI]
  15. 15 Health shocks, coping strategies and foregone healthcare among agricultural households in Kenya [DOI]
  16. 16 Health Insurance and Other Risk-Coping Strategies in Uganda: The Case of Microcare Insurance Ltd. [DOI]
  17. 17 BORROWING TO COPE WITH ADVERSE HEALTH EVENTS: LIQUIDITY CONSTRAINTS, INSURANCE COVERAGE, AND UNSECURED DEBT [DOI]
  18. 18 Microhealth insurance and the risk coping strategies for the management of illness in Karnataka: a case study [DOI]
  19. 19 Scaling-Up Microfinance For India's Rural Poor [DOI]
  20. 20 Paying for Health Care: Quantifying Fairness, Catastrophe, and Impoverishment, with Applications to Vietnam, 1993–98 [DOI]
  21. 21 International Journal of Health Care Finance and Economics [DOI]
  22. 22 What a Difference a State Makes: Health Reform in Andhra Pradesh [DOI]

Cited by 0

No indexed citations yet.

Related research

Article metrics

Real usage data collected on this platform.

4

Page views

0

PDF downloads

0

Outbound clicks

0

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.