Table 4.
Influencing factors of willingness to pay from the Tobit regression.
| Characteristics | Coefficients | SE | p-value | 95%CI |
|---|---|---|---|---|
| Age group | ||||
| 18 ~ 25 | Ref | |||
| 26 ~ 30 | −12.23 | 19.07 | 0.521 | −49.62 ~ 25.16 |
| 31 ~ 40 | −38.99 | 20.44 | 0.057 | −79.08 ~ 1.10 |
| 41 ~ 50 | −37.08 | 20.67 | 0.073 | −77.61 ~ 3.45 |
| > 51 | −25.71 | 28.25 | 0.363 | −81.11 ~ 29.70 |
| Gender | ||||
| Female | Ref | |||
| Male | −7.33 | 10.04 | 0.465 | −27.02 ~ 12.36 |
| Education level | ||||
| Middle school and below | Ref | |||
| High school | –33.27 | 23.00 | 0.148 | −78.37 ~ 11.83 |
| Bachelor | −44.28 | 23.65 | 0.061 | −90.68 ~ 2.10 |
| Master and above | −8.95 | 31.03 | 0.773 | −69.81 ~ 51.92 |
| Marriage status | ||||
| Others (single, divorced or widowed) | Ref | |||
| Married | 13.08 | 15.27 | 0.393 | −16.88 ~ 43.03 |
| Region | ||||
| Rural | Ref | |||
| Urban | 13.69 | 13.38 | 0.306 | −12.56 ~ 39.94 |
| Health status | ||||
| Fair or below (fair, poor, very poor) | Ref | |||
| Good and above (good, very good) | −10.18 | 12.02 | 0.397 | –33.76 ~ 13.40 |
| Having the chronic disease | ||||
| No | Ref | |||
| Yes | −10.07 | 17.76 | 0.571 | −44.89 ~ 24.76 |
| Annual family income in 2019 | ||||
| ≤ CNY 50,000 (USD 7,246) | Ref | |||
| CNY 50,000–100,000 (USD 7,246–14,492) | 13.76 | 17.18 | 0.423 | −19.93 ~ 47.45 |
| CNY 100,000–150,000 (USD 14,492–21,739) | 34.44 | 17.93 | 0.055 | −0.73 ~ 69.61 |
| CNY 150,000–200,000 (USD 21,739–28,986) | 68.01 | 19.54 | 0.001 | 29.70 ~ 106.32 |
| CNY 200,000–300,000 (USD 28,986–43,478) | 66.35 | 22.11 | 0.003 | 22.98 ~ 109.71 |
| ≥ CNY 300,000 (USD 43,478) | 135.64 | 25.04 | less than0.001 | 86.52 ~ 184.76 |
| Employment status | ||||
| Unemployed | Ref | |||
| Employed | 25.76 | 41.71 | 0.537 | 56.05 ~ 107.57 |
| Employee size in workplace | ||||
| ≤ 10 | Ref | |||
| 10 ~ 29 | 54.30 | 23.76 | 0.022 | 7.71 ~ 100.89 |
| 30 ~ 100 | 47.00 | 21.63 | 0.032 | 4.57 ~ 89.43 |
| 100 ~ 300 | 45.68 | 22.77 | 0.045 | 1.02 ~ 90.34 |
| ≥ 300 | 66.12 | 22.14 | 0.003 | 22.70 ~ 109.53 |
| Pandemic impact on income | ||||
| Fair | Ref | |||
| Large or very large | 10.78 | 12.99 | 0.406 | −14.69 ~ 36.26 |
| Small or very small | 3.38 | 16.52 | 0.838 | −29.03 ~ 35.79 |
| There are confirmed or suspected cases in the county | ||||
| No or not clear | Ref | |||
| Yes | 3.82 | 11.91 | 0.748 | −19.54 ~ 27.18 |
| Lacking of protective equipment (e.g. masks, etc) | ||||
| No | Ref | |||
| Yes | −18.98 | 10.25 | 0.064 | −39.08 ~ 1.13 |
| Perceived risk of infection | ||||
| Fair | Ref | |||
| High or very high | 2.84 | 16.93 | 0.867 | −30.37 ~ 36.05 |
| Low or very low | 0.63 | 11.67 | 0.957 | –22.25 ~ 23.51 |
| The COVID-19 pandemic in China was in a declining trend | ||||
| No | Ref | |||
| Yes | −28.03 | 11.06 | 0.011 | −49.72 ~ -6.34 |