Table 10. Factors affecting smallholder farmers’ adoption of climate-smart agricultural practices.

Logistic regressionNumber of Obs = 194
Wald chi 2(10) = 27.34
Prob > chi 2 = 0.0112
Log Pseudolikelihood = -204.0124 Pseudo R 2 = 0.0965
CSA_Practice	Coef.	Robust Std. Err.	z	P>z	[95% Conf. Interval]
Age	0.0857 ***	0.0222	3.86	0.000	0.0422	0.1292
Gender	0.0173 *	0.4056	0.44	0.066	-0.7776	0.8122
Marital_status	-0.1788	0.1399	-1.28	0.201	-0.4530	0.0955
Education	-0.0510	0.0387	-1.32	0.187	-0.1270	0.0249
Farming_experience	0.0871 ***	0.0200	4.36	0.000	0.0480	0.1263
Household_size	-0.0279	0.0658	-0.42	0.672	-0.1569	0.1011
Income	0.000035 *	0.0000	1.85	0.064	0.0000	0.0001
Fertilizer	0.0007	0.0007	1.12	0.263	-0.0005	0.0020
Farm_size	-0.0201 **	0.0449	-0.45	0.005	-0.1082	0.0680
Livestockqt	0.0067 *	0.0083	0.81	0.018	-0.0230	0.0095
Credit_access	-0.1508	0.2405	-0.63	0.531	-0.6221	0.3205
Access_to_climate_inform	-0.4411 **	0.5920	-0.75	0.006	-1.6014	0.7192
Extension_services	-0.0181	0.2964	-0.06	0.951	-0.5989	0.5628
_cons	-0.4161	1.0016	-0.42	0.678	-2.3792	1.5470

Significance codes:

^***<1%,

^**<5% and

^*<10%; Author’s calculation using Stata 15MP.