From: What has driven the spatial spillover of China’s out-of-pocket payments?
Variable | Direct effect | Indirect effect | Total effect |
---|---|---|---|
Logged per capita income (RMB) | 0.398*** | 0.206* | 0.604*** |
(0.086) | (0.130) | (0.109) | |
Aging level (%) | 0.127* | 0.616*** | 0.743 |
(−0.879) | (1.652) | (1.600) | |
Mortality rate (%) | 0.156* | 0.353* | 0.509** |
(0.107) | (0.217) | (0.24) | |
Ratio of visits in hospitals and those in primary institutions | 0.013* | 0.034** | 0.047* |
(0.010) | (0.015) | (0.015) | |
Share of primary health care beds (%) | −0.09** | −0.401*** | −0.491*** |
(0.049) | (0.100) | (0.094) | |
Ratio of health technicians in hospitals and those in primary institutions | 0.020 | −0.014*** | 0.006** |
(0.022) | (0.056) | (0.058) | |
Maternal mortality rate (%) | −0.014 | −0.060 | − 0.074 |
(0.020) | (0.222) | (−0.074) | |
Logged gross Domestic Product (RMB) | 0.050 | −0.092 | −0.042 |
(0.08) | (0.155) | 0.164) | |
Logged education level (Year) | −0.381*** | −0.045 | − 0.426* |
(0.066) | (0.093) | (0.079) | |
Logged government health expenditure (RMB) | 0.210*** | −0.046 | 0.164*** |
(−0.045) | (0.061) | (0.060) | |
Urbanization level (%) | 0.745*** | 0.243 | 0.988 |
(−0.485) | (1.090) | (1.156) | |
ρ/λ | 0.453** | ||
R-sq | 0.963 | ||
Log-likelihood | 375.614 |