460
Table 3 Results of the multivariate probit model for factors influencing adoption of ISFM
technologies
Explanatory variables
ISFM technology
Inorganic
fertilizer
n = 153
Improved seed
n = 151
Intercropping
n = 92
Rotation
n = 133
Sex of household head
(1 = male, 0 = female)
0.1120
(0.3810)
0.5426
(0.3562)
0.0737
(0.3269)
0.4619
(0.3231)
Age of household head
(years)
−0.0175
(0.0105)∗
0.0107
(0.0091)
0.0030
(0.0077)
Farm experience (years)
0.0126
(0.0090)
Land ownership (1 = own
land, 0 = otherwise)
0.4282
(0.4750)
0.6390
(0.4524)
0.1020
(0.2622)
0.5732
(0.2711)∗∗
Land size (ha)
0.0080
(0.0538)
0.1010
(0.0574)∗
Number of adults
0.2322
(0.1452)
Access to fertilizer (FISP)
coupon (1 = yes, 0 = no)
1.0838
(0.2589)∗∗∗
0.1805
(0.2306)
Soil fertility perception
(1 = average, 0 = otherwise)
0.3871
(0.2611)
0.6798
(0.2339)∗∗∗
Soil fertility perception
(1 = fertile, 0 = otherwise)
0.4931
(0.2489)∗∗
Education level of spouse
(1 = senior primary,
0 = otherwise)
0.0603
(0.2695)
.
Education level of spouse
(1 = junior secondary,
0 = otherwise)
0.7057
(0.4680)
Extension access (1 = yes,
0 = no)
0.6618
(0.2722)∗∗
0.5257
(0.2380)∗∗
Log of household income
(MK)
0.2153
(0.0930)∗∗
0.2144
(0.0967)∗∗
Radio ownership (1 = yes,
0 = no)
0.3630
(0.2539)
ISFM training (1 = yes,
0 = no)
0.5807595
(0.2450)∗∗
−0.2590
(0.1979)
Seed access (1 = yes, 0 = no)
0.6659
(0.2067)∗∗∗
−0.4047
(0.1984)∗∗
Credit access (1 = yes, 0 = no)
0.3794
(0.2892)
−0.3425
(0.2566)
0.5254
(0.2479)∗∗
Market access (1 = yes,
0 = no)
0.0021
(0.0005)∗∗
0.2841
(0.2061)
Group membership (1 = yes,
0 = no)
0.6521
(0.2228)∗∗∗
.
(continued)
J. S. Kanyamuka et al.