Table 3.
Hunting returns (Kg/hour) | ||||||
---|---|---|---|---|---|---|
H1 | H3 | H4 | ||||
Model 1 (Sites) | Model 2 (Villages) | Model 3 (Sites) | Model 4 (Villages) | Model 5 (Sites) | Model 6 (Villages) | |
First part: Logistic regression | ||||||
Hunting knowledge | 0.868** | 0.882** | 0.883** | 0.919* | ||
(0.347) | (0.392) | (0.397) | (0.495) | |||
LEK | 0.918** | 0.992** | ||||
(0.379) | (0.398) | |||||
Male | -0.037 | 0.087 | 0.450 | 0.577 | -0.035 | 0.064 |
(0.509) | (0.484) | (0.426) | (0.563) | (0.515) | (0.695) | |
Age | -0.012 | -0.012 | -0.022* | -0.023 | -0.006 | -0.005 |
(0.011) | (0.012) | (0.012) | (0.015) | (0.012) | (0.016) | |
Household size | -0.058 | -0.039 | -0.054 | -0.032 | -0.057 | -0.037 |
(0.057) | (0.061) | (0.052) | (0.062) | (0.053) | (0.058) | |
Hunting effort | 13.95* | 14.099* | 13.546*** | 13.676* | 13.80*** | 13.87* |
(7.935) | (8.113) | (3.702) | (7.324) | (3.937) | (8.003) | |
Traditional weapon | 2.106*** | 2.335*** | 2.218*** | 2.455*** | 2.170*** | 2.465*** |
(0.551) | (0.495) | (0.662) | (0.456) | (0.652) | (0.529) | |
Exposure to national society | 0.287 | 0.372 | ||||
(0.237) | (0.310) | |||||
Integration into market economy | -0.073 | -0.089 | ||||
(0.213) | (0.253) | |||||
Wage labor | -0.007 | -0.008* | ||||
(0.005) | (0.004) | |||||
Tsimane’ | 2.978*** | 2.943*** | 3.284*** | |||
(0.739) | (0.678) | (0.743) | ||||
Baka | 1.952*** | 1.957*** | 2.217*** | |||
(0.690) | (0.688) | (0.788) | ||||
V1: Sta Maria | 2.196*** | 2.185*** | 2.437*** | |||
(0.315) | (0.278) | (0.386) | ||||
V2:Cuchisama | 2.464*** | 2.401*** | 2.803*** | |||
(0.353) | (0.335) | (0.542) | ||||
V3:Ngola | 1.501*** | 1.577*** | 1.738*** | |||
(0.241) | (0.154) | (0.472) | ||||
V4: Bizam | 0.714** | 0.582** | 0.883** | |||
(0.306) | (0.266) | (0.421) | ||||
V5:Long Ranau | -1.538*** | -1.512*** | -1.743*** | |||
(0.487) | (0.534) | (0.549) | ||||
Intercept | -3.109** | -2.591** | -3.009*** | -2.467** | -3.499*** | -2.992** |
(1.320) | (1.146) | (0.859) | (1.106) | (0.998) | (1.476) | |
Second part: Ordinary Least Square regression | ||||||
Hunting knowledge | 0.840** | 0.654* | 0.825** | 0.597 | ||
(0.330) | (0.352) | (0.398) | (0.410) | |||
LEK | 0.491 | 0.397 | ||||
(0.304) | (0.244) | |||||
Male | -0.714 | -0.624 | -0.173 | -0.211 | -0.840 | -0.789* |
(0.508) | (0.498) | (0.475) | (0.462) | (0.713) | (0.431) | |
Age | -0.013** | -0.010 | -0.015* | -0.011 | -0.013 | -0.007 |
(0.007) | (0.010) | (0.008) | (0.010) | (0.010) | (0.010) | |
Household size | 0.064*** | 0.051 | 0.065 | 0.052* | 0.053 | 0.041 |
(0.025) | (0.032) | (0.046) | (0.030) | (0.045) | (0.034) | |
Hunting effort | -0.087 | 0.112 | 0.267 | 0.364 | -0.183 | 0.066 |
(1.150) | (1.255) | (1.497) | (1.113) | (1.492) | (1.316) | |
Traditional weapon | -0.825 | -1.004 | -0.867 | -1.063 | -0.797 | -1.038 |
(1.004) | (1.045) | (1.310) | (1.102) | (1.296) | (1.171) | |
Exposure to national society | 0.035 | 0.071 | ||||
(0.201) | (0.177) | |||||
Integration into market economy | 0.314 | 0.336* | ||||
(0.267) | (0.184) | |||||
Wage labor | 0.0002 | 0.002 | ||||
(0.004) | (0.004) | |||||
Tsimane’ | -3.675*** | -3.826*** | -4.001*** | |||
(1.423) | (1.394) | (1.401) | ||||
Baka | -3.993*** | -3.898*** | -3.770*** | |||
(0.954) | (0.786) | (0.873) | ||||
V1: Sta Maria | -2.887*** | -2.969*** | -3.419*** | |||
(0.816) | (0.879) | (0.876) | ||||
V2:Cuchisama | -2.766*** | -2.755*** | -2.977*** | |||
(0.824) | (0.854) | (0.912) | ||||
V3:Ngola | -3.003*** | -2.815*** | -2.676*** | |||
(0.336) | (0.241) | (0.482) | ||||
V4: Bizam | -2.857*** | -2.727*** | -2.556*** | |||
(0.464) | (0.378) | (0.586) | ||||
V5:Long Ranau | 1.769*** | 1.957*** | 1.813*** | |||
(0.142) | (0.099) | (0.165) | ||||
Intercept | 5.678*** | 4.717*** | 5.458*** | 4.466*** | 5.8037*** | 4.717*** |
(1.724) | (1.148) | (1.486) | (1.080) | (1.6134) | (1.281) | |
N | 393 | 393 | 393 | 393 | 387 | 387 |
AIC | 1174.4941 | 1162.9981 | 1192.9595 | 1163.0236 | 1178.5353 | 1137.5780 |
BIC | 1214.2322 | 1202.7361 | 1264.4881 | 1202.7617 | 1273.5375 | 1177.1623 |
Note: Standard errors in parenthesis. Results of a two part model, where the first part assesses the probability of depvar being bigger than 0 (depvar>0) using a logit binary choice model and the second part models the distribution of depvar | depvar>0 using a standard OLS model (regress). For definition of variables see Table 1.*p< 0.10, **p< 0.05, ***p< 0.01.^ variable intentionally omitted from analysis.