Medical insurance, vulnerability to poverty, and wealth inequality.

Xianhua Zhou, Xujin Yang
Author Information
  1. Xianhua Zhou: China Institute for Actuarial Science, School of Insurance, Central University of Finance and Economics, Beijing, China.
  2. Xujin Yang: School of Insurance, Central University of Finance and Economics, Beijing, China.

Abstract

Background: China has made remarkable achievements in alleviating poverty under its current poverty standards. Despite these immense successes, the challenge of consolidating these achievements remains. In reality, health risks are among the significant factors causing rural households to fall into poverty, and medical insurance is the significant factor mitigating household vulnerability to poverty. Therefore, alleviating or guarding against households falling into poverty is essential.
Methods: This paper establishes a multi-equilibrium model that incorporates heterogeneous health risks and medical insurance. Through parameter calibration and value function iteration, numerical solutions are derived.
Results: Heterogeneous health risks significantly increase poverty vulnerability and wealth inequality in rural households. Medical insurance, through its investment incentives and loss compensation effects, efficiently mitigates these issues, especially benefiting those in poorer health. Furthermore, the dual-slanted compensation policy efficiently mitigates the adverse effects of "reverse redistribution."
Conclusion: Medical insurance effectively mitigates household vulnerability to poverty and wealth inequality. Government departments must establish health records for residents. By recognizing variations in health conditions, these departments can provide households with poorer health conditions with a higher medical expense compensation ratio. In addition, the government should further focus medical expense reimbursements toward households on the cusp of escaping poverty to ensure that they are not plunged back (or further) into poverty due to medical expenses.

Keywords

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MeSH Term

Humans
Health Expenditures
Insurance, Health
Poverty
Family Characteristics
China

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