Factors That Influence Technical Efficiency of Sorghum Production: A Case of Small Holder Sorghum Producers in Lower Eastern Kenya

Table 3

Tobit model results showing farm and farmer characteristics that influence technical efficiency in lower eastern Kenya.

Variables	Overall			Makindu district			Machakos district
	Coefficient	Std. error	-ratio	Coefficient	Std. error	-ratio	Coefficient	Std. error	-ratio
Male-headed HHs	0.0151231	0.0602029	0.25	0.0126535	0.0917335	0.14	−0.1274866	0.0965198	−1.32
Age of the HHH	0.0031181	0.0022365	0.166	−0.004085	0.0035009	−1.17	0.0042609	0.003844	1.11
Education of the HHH	0.3397149	0.1122345	3.03	0.316089	0.1401749	2.25	0.3861081	0.1583818	2.44
HH size	−0.010880	0.0168144	−0.65	−0.0158526	0.0060737	−2.61	−0.014297	0.0295331	−0.48
Number of dependents	0.018657	0.01624	0.67	0.0334479	0.0303065	1.10	0.0010129	0.025662	0.04
Assets			0.25			0.25			1.70
Experience in sorghum farming	0.134622	0.528377	2.55	0.0455824	0.0201548	2.26	0.141997	0.0669797	2.12
Membership in farmer associations	0.144595	0.050918	2.84	0.1932501	0.058765	3.29	0.316437	0.1457391	2.17
Seed rates used	0.000028	0.002949	0.01	0.0002828	0.003447	0.08	0.000939	0.003444	0.27
Use of improved seed variety	0.061676	0.068271	0.90	0.0087944	0.1400486	0.06	0.0237339	0.1014583	0.23
Size of land planted with sorghum	0.131765	0.695529	1.89	0.5603131	0.1837734	3.05	0.420964	0.3280746	1.28
Land preparation method	−0.06263	0.058339	−1.07	−0.042962	0.091119	−0.47	−0.045541	0.0996701	−0.46
Hired labour	0.109582	0.054389	2.01	0.196799	0.080736	2.44	0.2789300	0.1063657	2.62
Manure use	0.183163	0.053089	3.45	0.166	0.054	3.07	0.2706129	0.0882594	3.07
Production advice	0.261006	0.054869	4.76	0.2474189	0.0679327	3.64	0.220811	0.1101432	2.00
HHs off-farm income			−1.22			1.04			0.01
Credit use	0.102177	0.09323	1.1	0.1060954	0.1543204	0.69	0.1156674	0.1018497	1.14
Income from other farm activities	−0.005713	0.047648	−0.12	0.1156674	0.099301	1.16	−0.062186	0.0733277	−0.85
Region	0.1014707	0.0705253	1.44	—	—	—	—	—	—
Constant	0.4262553	0.185868	2.29	1.1141199	0.2696769	4.13	0.5372247	0.2439456	2.20
Software used STATA	= 143; LR df = 111.91; Prop > = 0.00; pseudo = 0.6741; Log likelihood = −27.047463; Sigma coefficient: 0.2551064; Left censored = 0; uncensored = 121; Right censored = 22			= 71; LR df = 78.68; Prop > = 0.00; pseudo = 0.9761; Log likelihood = 0.96331317; Sigma coefficient: 0.2125154; Left censored = 0; uncensored = 59; Right censored = 12			= 71; LR df = 55.81; Prop > = 0.00; pseudo = 0.5483; Log likelihood = 22.988456; Sigma coefficient: 0.2828562; Left censored = 0; uncensored = 57; Right censored = 15

Notes: significance at 5%, HHs: households, and HHH: household head.