Table 4 Estimation results of the Binary Logit model.
Variable name | Model 1 | Model 2 | Model 3 | Model 4 | ||||
|---|---|---|---|---|---|---|---|---|
B | Exp(B) | B | Exp(B) | B | Exp(B) | B | Exp(B) | |
Gender | 0.961*** (0.289) | 2.615 | 1.011*** (0.296) | 2.749 | 0.983*** (0.322) | 2.671 | 1.087*** (0.330) | 2.964 |
Ethnicity | -0.407 (0.562) | 0.666 | -0.358 (0.562) | 0.699 | -0.089 (0.737) | 0.915 | -0.216 (0.757) | 0.806 |
Age:20–40 | 1.665*** (0.575) | 5.288 | 1.672*** (0.601) | 5.324 | 1.197** (0.600) | 3.310 | 1.164** (0.630) | 3.201 |
Age:41–60 | 2.271*** (0.523) | 9.688 | 2.259*** (0.544) | 9.576 | 1.914*** (0.537) | 6.778 | 1.844*** (0.561) | 6.321 |
Education: Primary | -0.556 (0.741) | 0.574 | -0.063 (0.745) | 0.939 | -0.783 (0.782) | 0.457 | -0.073 (0.815) | 0.929 |
Junior high school | -0.864 (0.716) | 0.421 | -0.367 (0.720) | 0.693 | -0.908 (0.754) | 0.403 | -0.193 (0.788) | 0.825 |
Senior high school | -0.374 (0.736) | 0.688 | -0.011 (0.736) | 0.989 | -0.507 (0.770) | 0.602 | 0.091 (0.799) | 1.095 |
Family background | 1.562*** (0.395) | 4.769 | 1.514*** (0.415) | 4.545 | 1.656*** (0.427) | 5.236 | 1.587*** (0.452) | 4.889 |
Health level | -1.144*** (0.407) | 0.318 | -1.154*** (0.419) | 0.315 | -1.332*** (0.463) | 0.264 | -1.288*** (0.481) | 0.276 |
Water supply status | 0.139 (0.316) | 1.150 | -0.011 (0.319) | 0.989 | 0.067 (0.344) | 1.070 | -0.033 (0.344) | 0.968 |
Power supply condition | 0.614** (0.317) | 1.848 | 0.693** (0.320) | 2.001 | 0.649** (0.342) | 1.914 | 0.664** (0.340) | 1.943 |
Livestock assets | -0.465** (0.182) | 0.628 | -0.413** (0.181) | 0.662 | -0.409** (0.195) | 0.664 | -0.379** (0.192) | 0.685 |
Livestock quantity | -0.448** (0.195) | 0.639 | -0.576*** (0.204) | 0.562 | -4.268*** (1.071) | 0.014 | -4.452*** (1.073) | 0.012 |
Prospects for livestock | -0.138 (0.172) | 0.871 | -0.016 (0.182) | 0.984 | -0.281 (0.187) | 0.755 | -0.148 (0.196) | 0.862 |
Nomadic sentiment | – | – | -0.360*** (0.135) | 0.698 | – | – | -0.400*** (0.147) | 0.670 |
Mutual aid sentiment | – | – | -0.229** (0.133) | 0.795 | – | – | -0.247** (0.146) | 0.781 |
Proportion of animal husbandry income | – | – | – | – | -4.531*** (1.092) | 0.011 | -4.590*** (1.093) | 0.010 |
Proportion of animal husbandry labour force | – | – | – | – | -1.991*** (0.700) | 0.137 | -2.176*** (0.720) | 0.113 |
Constant | -2.732** (1.462) | 0.065 | -3.282** (1.488) | 0.038 | -1.896* (1.430) | 0.15 | -3.152** (1.507) | 0.043 |
Chi-square | 149.124*** | 159.051*** | 209.443*** | 219.639*** | ||||
-2 log-likelihood value | 392.815 | 382.888 | 332.496 | 322.300 | ||||
Nagelkerke R2 | 0.407 | 0.429 | 0.536 | 0.556 | ||||
