Table 11. Factors affecting smallholder farmers’ crop productivity.

Linear regression Number of Obs = 194
F(9, 179) = 11.05
Prob > F = 0.0000
R-squared = 0.6441
Root MSE = 0.74495
log_yield	Coef.	Robust Std. Err.	t	P>t	[95% Conf. Interval]
Age	-0.0019	0.0051	-0.37	0.709	-0.0120	0.0082
Gender	0.0385	0.1126	0.34	0.732	-0.1830	0.2601
Marital_status	0.0076 *	0.0379	0.20	0.841	-0.0670	0.0821
Education	0.0098 *	0.0122	0.80	0.422	-0.0142	0.0338
Farming_experience	0.0043	0.0049	0.88	0.377	-0.0053	0.0140
Household_size	0.0231 **	0.0181	1.28	0.201	-0.0124	0.0586
Income	0.00002 **	0.0000	2.94	0.004	0.0000	0.0000
Fertilizer	0.0012 ***	0.0002	8.13	0.000	0.0009	0.0015
Farm_size	-0.0652 ***	0.0145	-4.49	0.000	-0.0938	-0.0366
Livestockqt	0.0086 ***	0.0018	4.79	0.000	0.0051	0.0122
CSA_Practice	0.1349 *	0.0747	1.81	0.072	-0.0120	0.2818
Credit_access	-0.1171	0.0741	-1.58	0.115	-0.2629	0.0287
Access_to_climate_info.	-0.1523	0.1974	-0.77	0.441	-0.5408	0.2361
Extension_services	0.0429	0.0846	0.51	0.612	-0.1236	0.2094
_cons	7.1936 ***	0.3095	23.24	0.000	6.5845	7.8026

Significance codes:

^***<1%,

^**<5% and

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