The first two lines of the results indicate the model category, LZ adopts randomeffect random model, and the cross-sectional variable is province, the number of samples is 3 10, and the number of groups is 3 1, that is, each group has 10 observations. Lines 3-5 represent the goodness of fit of the model, which are within group, between groups, whole, within group, between groups and whole respectively. Lines 6-7 represent wald chi2 test and Pvalue of parameter joint test, and p=0.000 indicates that the parameters are generally gray. Line 8- 10 indicates the estimated weight, intercept, standard deviation, z statistics, p value and 95% confidence interval of explanatory variables. The output result of this block is the same as that of cross-section regression. Your explanation of the cardinality weight of explanatory variables is that, when other conditions remain unchanged, every unit of cardinality increases, the city will increase by 0.0 179 units, and the P value is 0.000, which is very obvious. The last three lines are the variance estimates of individual effect and random interference terms in the random effect model, which are sigma_u and sigma_e _ e respectively. It should be noted that the fitting degree of your model is not high, and the R surface is only 26%. Of course, it depends on the specific research and the fitting results of other scholars in the same direction. If everyone is over 20, that's ok.