Table 3.

Count data regression of the intensity of climate change adaptation strategies adoption.

Number of strategies	POISSON REGRESSION			NEGATIVE BINOMIAL
	Coef.	St. Err.	P-value	Coef.	St. Err.	P-value
Age of the respondent	-0.042	0.019	0.028∗∗	-0.042	0.019	0.028∗∗
Age square	0.000	0.000	0.049∗∗	0.000	0.000	0.049∗∗
Educational level	0.003	0.006	0.570	0.003	0.006	0.570
Marital status	-0.069	0.062	0.269	-0.069	0.062	0.269
Household size	0.035	0.016	0.027∗∗	0.035	0.016	0.027∗∗
Dependency ratio	-0.057	0.047	0.225	-0.057	0.047	0.225
Membership FBO	-0.164	0.085	0.052∗	-0.164	0.085	0.052∗
Freq of extension visits	-0.005	0.013	0.683	-0.005	0.013	0.683
Access to extension	0.061	0.114	0.593	0.061	0.114	0.593
Non-farm income	0.135	0.077	0.080∗	0.135	0.077	0.080∗
Climate information	0.561	0.129	0.000∗∗∗	0.561	0.129	0.000∗∗∗
Access to credit	0.188	0.095	0.048∗∗	0.188	0.095	0.048∗∗
Main occupation	-0.099	0.073	0.176	-0.099	0.073	0.176
Location_Oyo	-0.079	0.097	0.414	-0.079	0.097	0.414
Location_Osun	0.629	0.113	0.000∗∗∗	0.629	0.113	0.000∗∗∗
Distance to market	0.010	0.006	0.094∗	0.010	0.006	0.094∗
Distance to road	0.002	0.012	0.884	0.002	0.012	0.884
IMR	-1.258	0.558	0.024∗∗	-1.258	0.557	0.024∗
Constant	2.140	0.471	0.000∗∗∗	2.140	0.471	0.000∗∗∗
lnalpha				-18.148	404.527
Pseudo R2	0.179			0.142
Chi-square	277.953			210.915
AIC	1311.023			1313.023
BIC	1377.691			1383.395
Number of obs	300.000			300.000
Prob > chi 2	0.000			0.000

∗∗∗p < 0.01, ∗∗p < 0.05, ∗p < 0.1.