Table 1.
Factors used in the current and previous studies.
Table 2.
Continuous variables used in the present study.
Table 3.
Provinces and some of their variables considered in the present study.
Table 4.
Estimation results for the baseline and fine-grained GLMM models 1 and 2.
Table 5.
Estimated fixed and specific random intercepts for models 1 and 2.
Fig 1.
Illustration of the interaction effect between quarter and number of tourists.
Log(Receipts) are shown versus number of tourists for Q1 (blue circles) and Q4 (red squares). Linear regression lines are shown as well.
Fig 2.
Three-dimensional scatter plot illustrating the interaction between occupancy rate and average cost per day.
Log(receipts) are shown versus occupancy rate and average cost per day (abbreviation: occ = occupancy rate). The data cloud forms roughly a banana shaped object that starts at low values in both predictor variables (front bottom corner in the figure) and ends at high values in both predictors (top corner in the back of the figure).