Improving children's health outcomes: The effect of China's urban and rural resident basic medical insurance

Jing Guan & J. D. Tena

Journal of Risk and Insurance2026https://doi.org/10.1111/jori.70037article
AJG 3ABDC A
Weight
0.50

Abstract

Although many researchers have studied the introduction of social medical insurance schemes, few have examined their long‐term effects on children. This paper estimates the impact of China's Urban and Rural Resident Basic Medical Insurance (URRBMI) on children's health. The policy was rolled out gradually across Chinese provinces. Using recent econometric methods that avoid the issue of negative weights in staggered treatments, we show that URRBMI reduced sickness frequency. It also led to decreased hospital use and lower out‐of‐pocket costs. The policy also improved satisfaction, boosted insurance participation, and strengthened human capital indicators. We find stronger effects for boys and children living in urban areas. In contrast, the impact on rural children takes longer to appear. These results hold across different econometric methods and variable definitions.

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1111/jori.70037

Or copy a formatted citation

@article{jing2026,
  title        = {{Improving children's health outcomes: The effect of China's urban and rural resident basic medical insurance}},
  author       = {Jing Guan & J. D. Tena},
  journal      = {Journal of Risk and Insurance},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1111/jori.70037},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Improving children's health outcomes: The effect of China's urban and rural resident basic medical insurance

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.