Table 3.
The total highest economic loss of the public health effect caused by the air pollutant in 74 cities
| The coefficient of the dose–response relation | Cases | the loss value estimation (yuan, the mean price from January 2015 to June 2015) | economic loss (million yuan) | |
|---|---|---|---|---|
| PM10’s public health effect | ||||
| Premature death | 2.6 | 140,028 | 528,370.2 | 73,986.62 |
| Hospitalization caused by respiratory disease | 12 | 646,282 | 2500.5 | 1616.03 |
| Emergency | 235 | 12,656,359 | 202.8 | 2566.71 |
| The number of restriction days | 57,500 | 3,096,768,683 | 20 | 61,935.37 |
| Lower respiratory tract infections and childhood asthma | 23 | 1,238,707 | 114.2 | 141.46 |
| Asthma | 2608 | 140,458,656 | 3.57 | 501.44 |
| Chronic bronchitis | 61 | 3,285,268 | 68,545.33 | 225,189.78 |
| Respiratory symptoms | 183,000 | 9,855,802,940 | 5.28 | 52,038.64 |
| The total economic loss of the public health effect caused by PM10 | 417,976.05 | |||
| SO2’s public health effect | ||||
| Premature death | 2.6 | 38,748 | 528,370.2 | 20,473.29 |
| Chest discomfort | 10,000 | 149,030,000 | 8.85 | 1318.92 |
| Lower respiratory tract infections and childhood asthma | 5 | 74,515 | 8.85 | 0.66 |
| The total economic loss of the public health effect caused by SO2 | 21,792.86 | |||
| The total economic loss of the public health effect | 439,768.91 | |||
| Economic loss related to public health effects per capita | 848 yuan | |||
| The GDP in 74 cities | 18,987,854 | |||
| The total economic loss of the public health effect accounts for the GDP | 2.32 % | |||