Table 6 Latent class model’s estimated results.
From: Segmenting Chinese rural tourist preferences: insights from a choice experiment
Variable | Class 1 | Class 2 | Class 3 |
|---|---|---|---|
Destination Attribute | |||
Price | –0.002** | –0.003*** | –0.001** |
(0.001) | (0.001) | (0.000) | |
Driving Distance_3 hours | –0.359 | –0.237 | 0.119 |
(0.364) | (0.194) | (0.096) | |
Driving Distance_4 hours | –0.743** | –1.324*** | 0.052 |
(0.354) | (0.219) | (0.097) | |
Natural Scenery_Good | 0.948** | 1.470*** | 0.253*** |
(0.411) | (0.228) | (0.097) | |
Natural Scenery_Excellent | 1.003** | 1.117*** | 0.464*** |
(0.427) | (0.224) | (0.102) | |
Local Cuisine | 0.359 | 1.293*** | 0.268*** |
(0.292) | (0.180) | (0.076) | |
Cultural Experience | 0.397 | 0.932*** | 0.322*** |
(0.278) | (0.143) | (0.074) | |
Outdoor Activities | –0.058 | 1.227*** | 0.128 |
(0.283) | (0.162) | (0.078) | |
Hotels & Homestays | 0.261 | 0.918*** | 0.234*** |
(0.277) | (0.153) | (0.074) | |
Hospitality | –0.146 | 0.664*** | 0.124* |
(0.289) | (0.156) | (0.067) | |
Opt-out | 1.491* | 2.417*** | –2.427*** |
(0.762) | (0.515) | (0.340) | |
Socio-demographic Characteristics Gender | |||
–0.262 | 0.641 | ||
(0.457) | (0.396) | ||
Age | 2.174*** | –1.978*** | |
(0.717) | (0.665) | ||
Education | –1.043** | 0.707 | |
(0.526) | (0.493) | ||
Income | 0.379 | –0.368 | |
(0.530) | (0.429) | ||
Children | –1.050 | –0.801* | |
(0.757) | (0.438) | ||
Environmental Awareness | 0.327 | –1.306*** | |
(0.517) | (0.436) | ||
Rural Tourism Cognition | 0.239 | 0.262 | |
(0.513) | (0.400) | ||
Government Promotion | –1.012** | –0.403 | |
(0.477) | (0.370) | ||
Constant | –1.280 | –0.048 | |
(1.031) | (0.868) | ||
Observations | 6372 | ||
Log likelihood | –1752.0042 | ||
AIC | 3606.008 | ||
BIC | 3950.752 | ||
