Table 5.
Linear regression results for community resilience.
| Explanatory Variables | Overall | Connection and Caring | Resources | Transformative Potential | Disaster Management | Information and Communication |
|---|---|---|---|---|---|---|
| City | ||||||
| Shanghai | 0.147∗ (0.017) | 0.102 (0.099) | 0.125 (0.062) | 0.121 (0.071) | 0.221∗∗ (0.003) | 0.167∗ (0.016) |
| Chengdu | 0.054 (0.487) | −0.043 (0.590) | 0.064 (0.446) | 0.066 (0.429) | 0.109 (0.219) | 0.072 (0.390) |
| Gender | −0.172∗∗ (0.006) | −0.228∗∗∗ (0.000) | −0.193∗∗ (0.004) | −0.133 (0.051) | −0.162∗ (0.025) | −0.146∗ (0.028) |
| Education | ||||||
| High school degree | −0.111 (0.343) | −0.112 (0.302) | −0.105 (0.417) | −0.121 (0.324) | −0.137 (0.304) | −0.078 (0.564) |
| College degree or above | −0.291∗∗ (0.005) | −0.251∗∗ (0.008) | −0.298∗ (0.010) | −0.326∗∗ (0.003) | −0.324∗∗ (0.006) | −0.256∗ (0.038) |
| Having emergency supplies | 0.248∗∗∗ (0.000) | 0.230∗∗∗ (0.000) | 0.261∗∗∗ (0.000) | 0.265∗∗∗ (0.000) | 0.254∗∗∗ (0.000) | 0.229∗∗ (0.001) |
| Having participated in disaster risk reduction activities | 0.236∗∗∗ (0.000) | 0.216∗∗ (0.001) | 0.234∗∗ (0.001) | 0.240∗∗∗ (0.000) | 0.248∗∗∗ (0.000) | 0.242∗∗∗ (0.000) |
| Having attended disaster education | 0.178∗∗ (0.009) | 0.142∗ (0.032) | 0.260∗∗∗ (0.000) | 0.128 (0.082) | 0.217∗∗ (0.007) | 0.142 (0.072) |
| Connection with the community through work | 0.164∗∗ (0.005) | 0.117 (0.050) | 0.183∗∗ (0.004) | 0.200∗∗ (0.001) | 0.149∗ (0.028) | 0.171∗∗ (0.009) |
| Connection with the community through neighbors | 0.258∗∗∗ (0.000) | 0.284∗∗∗ (0.000) | 0.241∗∗∗ (0.000) | 0.246∗∗∗ (0.000) | 0.238∗∗ (0.001) | 0.279∗∗∗ (0.000) |
| Connection with the community through friends | 0.166∗ (0.027) | 0.155∗ (0.045) | 0.206∗ (0.013) | 0.154∗ (0.049) | 0.200∗ (0.018) | 0.115 (0.159) |
| Connection with the community through schools | 0.264∗∗ (0.003) | 0.149 (0.132) | 0.220∗ (0.026) | 0.304∗∗ (0.002) | 0.334∗∗∗ (0.000) | 0.315∗∗ (0.001) |
| Having experienced disasters | −0.267∗∗∗ (0.000) | −0.259∗∗∗ (0.000) | −0.277∗∗∗ (0.000) | −0.280∗∗∗ (0.000) | −0.280∗∗∗ (0.000) | −0.239∗∗ (0.001) |
| Being a volunteer | 0.163∗∗∗ (0.000) | 0.178∗∗∗ (0.000) | 0.158∗∗∗ (0.000) | 0.187∗∗∗ (0.000) | 0.147∗∗ (0.001) | 0.145∗∗∗ (0.000) |
| Intercept term | 3.056∗∗∗ (0.000) | 3.182∗∗∗ (0.000) | 2.937∗∗∗ (0.000) | 2.963∗∗∗ (0.000) | 3.043∗∗∗ (0.000) | 3.155∗∗∗ (0.000) |
| Wald chi2 | 269.73∗∗∗ (0.000) | 222.50∗∗∗ (0.000) | 242.95∗∗∗ (0.000) | 252.15∗∗∗ (0.000) | 233.38∗∗∗ (0.000) | 203.96∗∗∗ (0.000) |
| Adj R-squared | 0.292 | 0.256 | 0.262 | 0.262 | 0.237 | 0.217 |
Note:(1) ∗p<0.05, ∗∗p<0.01, ∗∗∗p<0.001.
(2) Sociodemographic variables are set as city (Wuhan=1, Chengdu=2, Shanghai=3), gender (male=1, female=0), education (middle school and below=1, high school=2, college and above=3).