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Table 3 Models. Dependent variable: lnDRTP

From: Analysing spatial interdependence among the 2011 Thailand flood-affected small and medium enterprises for reduction of disaster recovery time period

  OLS-model SAR-model SEM-model
const 3.892 (0.000) 2.691 (0.000) 3.901 (0.000)
Damage 0.0002 (0.032) 0.0002 (0.010) 0.0002 (0.002)
Gender 0.031 (0.767) 0.030 (0.759) 0.026 (0.784)
Age 0.006 (0.139) 0.007 (0.0967) 0.006 (0.102)
Education −0.270 (0.085) −0.306 (0.033) − 0.262 (0.061)
Export 0.119 (0.315) 0.093 (0.394) 0.076 (0.471)
Mitigation 0.390 (0.000) 0.355 (0.000) 0.371 (0.000)
Insurance −0.294 (0.022) −0.272 (0.021) − 0.306 (0.010)
Loan 0.364 (0.005) 0.330 (0.005) 0.320 (0.006)
Risk −0.215 (0.093) −0.216 (0.066) − 0.223 (0.052)
Govt_res 0.551 (0.001) 0.520 (0.001) 0.516 (0.001)
Govt_prep −0.376 (0.018) −0.322 (0.027) − 0.291 (0.038)
BCP −0.381 (0.000) − 0.321 (0.000) −0.289 (0.002)
Business 0.085 (0.493) 0.101 (0.377) 0.111 (0.323)
Wy 0.275 (0.001)
Wu 0.324 (0.001)
R-squared 0.269 0.310 0.310
AIC 346.39 338.33 338.17
Moran’s I err 0.164 (0.001) 0.010 (0.922)
LM-lag 11.754 (0.000)
LM-err 9.496 (0.002)
Robust LM-lag 2.292 (0.130)
Robust LM-err 0.036 (0.847)
n 177 177 177
  1. *: p-values are shown in brackets