Table 5. Results of binary probit... | Emerald Publishing

Table 5.

Results of binary probit analysis for climate change strategies adopted

Variable	Coef.	Std. err.	Z	p>\|z\|
Farm risk level	−0.366	0.167	−2.19	0.029**
Damage caused by an event	−0.182	0.128	−1.43	0.154
Ability to adapt	0.452	0.251	1.80	0.072*
Income of farmer	−0.000	0.000	−2.31	0.021**
Access to credit	0.207	0.265	0.78	0.435
Household size	−0.056	0.087	−0.64	0.520
Sex	0.077	0.268	0.29	0.773
Age	−0.082	0.021	−3.82	0.000***
Educational level (years)	−0.010	0.079	−0.13	0.897
Farming experience (years)	0.066	0.024	2.74	0.006***
Climate change awareness	0.617	0.277	2.23	0.026**
Land ownership	−0.054	0.107	−0.50	0.616
Farm size (acres)	−0.028	0.029	−0.97	0.333
Extension visit	0.898	0.495	1.82	0.069*
Farming methods	0.063	0.148	0.43	0.670
Constant	1.618	0.697	2.32	0.020
Dependent variable: adaptation LR χ² (15) = 58.94 pseudo R² Log likelihood = −74.167	Strategy = 0.284 *p = 0.1	Number of prob>χ² p** = 0.05	Obs: 150 = 0.000 p*** = 0.01	–

Variable	Coef.	Std. err.	Z	p>\|z\|
Farm risk level	−0.366	0.167	−2.19	0.029**
Damage caused by an event	−0.182	0.128	−1.43	0.154
Ability to adapt	0.452	0.251	1.80	0.072*
Income of farmer	−0.000	0.000	−2.31	0.021**
Access to credit	0.207	0.265	0.78	0.435
Household size	−0.056	0.087	−0.64	0.520
Sex	0.077	0.268	0.29	0.773
Age	−0.082	0.021	−3.82	0.000***
Educational level (years)	−0.010	0.079	−0.13	0.897
Farming experience (years)	0.066	0.024	2.74	0.006***
Climate change awareness	0.617	0.277	2.23	0.026**
Land ownership	−0.054	0.107	−0.50	0.616
Farm size (acres)	−0.028	0.029	−0.97	0.333
Extension visit	0.898	0.495	1.82	0.069*
Farming methods	0.063	0.148	0.43	0.670
Constant	1.618	0.697	2.32	0.020
Dependent variable: adaptationLR χ² (15) = 58.94 pseudo R²Log likelihood = −74.167	Strategy = 0.284*p = 0.1	Number of prob>χ²p** = 0.05	Obs: 150 = 0.000p*** = 0.01	–

Source: Authors’ own creation