Research Article
Determinants Influencing the Adoption of Rice Intensification System among Smallholders in Mwea Irrigation Scheme, Kenya
Table 4
Binary logistic regression results.
| Variables | Coefficients | Z values | Marginal effects |
| Gender | 1.017 (0.679) | 1.5 | 0.031 | Age | −0.138 (0.043) | −3.22 | −0.003 | Marital status | −3.737 (1.144) | −3.27 | −0.089 | Education | −0.378 (0.661) | −0.57 | −0.009 | Household size | 1.895 (0.322) | 5.88 | 0.045 | Farm size | 2.499 (0.498) | 5.02 | 0.059 | Monthly income | 0.000 (0.000) | 0.69 | 0.001 | Off-farm work | 3.953(0.847) | 4.67 | 0.093 | Years of rice farming | 0.409 (0.121) | 5.8 | −0.0097 | Extension services | 7.809 (1.659) | 4.71 | 0.945 | Credit access | 8.714 (1.664) | 5.24 | 0.206 | Distance from canal | 1.354 (0.303) | 4.47 | 0.032 | Cons | −8.316 (3.449) | −2.41 | |
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Number of obs = 364; LR χ2 (11) = 340.60 Prob > χ2 = 0.0000; log likelihood = -48.378857; pseudo R2 = 0.7788. Source: authors’ calculations, 2020. Note: and significance at 1% and 5%. |