Table 5 Results of probit regression model and socio-economic factors affecting the diversity of indigenous crop species
Socio-economic characteristics (correlation coefficient) | Cereals | Fruits | Vegetables | protein seeds |
|---|---|---|---|---|
Head of household (age) | − 0.09 | − 0.04 | 0.08 | − 0.01 |
Head of household education | 0.04 | 0.04 | − 0.03 | − 0.08 |
Women’s participation (%) | − 0.12 | 0.05 | 0.15* | 0.09 |
Female decision maker and farm manager | − 0.24** | − 0.02 | 0.19** | 0.15* |
Most income from agriculture (%) | 0.19** | − 0.04 | − 0.17** | 0.03 |
The solution to fight pests, diseases, weeds, etc | 0.26** | 0.097 | − 0.35** | − 0.11 |
Distance from the village to the nearest sales center (km) | 0.053 | 0.147* | − 0.22** | − 0.05 |
The purpose of planting | − 0.23** | − 0.190 | 0.20** | 0.14* |
Type of use | − 0.25** | − 0.048 | 0.30** | 0.09 |
Number of observations | 227 | 227 | 227 | 227 |
Likelihood ratio [LR chi2 (9) and Prob (> Chi2)] | 426.65** | 405.8* | 259.30** | 128.97* |