Variables | Adopters | Non-adopters | p values |
Proportions | |||
If household head is resident | |||
 No | 0.004 | 0.019 | 0.708 |
 Yes | 0.996 | 0.981 |  |
Household type | |||
 Female headed | 0.141 | 0.117 | 0.376 |
 Male headed | 0.859 | 0.883 |  |
Marital status of household head | |||
 Widow | 0.091 | 0.117 | 0.035** |
 Divorced | 0.028 | 0.047 | 0.198 |
 Single | 0.026 | 0.025 | 0.988 |
 Married | 0.855 | 0.811 | 0.11 |
Education of household head | |||
 Cannot read and write | 0.117 | 0.169 | 0.047** |
 No school but car read and write | 0.015 | 0.031 | 0.185 |
 Primary level education (1–3 years) | 0.038 | 0.044 | 0.828 |
 Primary level education (4–7 years) | 0.737 | 0.702 | 0.33 |
 More than 7 years of education | 0.094 | 0.054 | 0.058* |
Gender of the main farmer | |||
 Female | 0.214 | 0.186 | 0.372 |
 Male | 0.782 | 0.811 |  |
 Sample size | 505 | 317 |  |
 | Mean and standard deviation |  | |
Weighted labor equivalent scale | 17.617 | 17.779 | 0.742 |
(6.985) | (6.638) | ||
Household size using adult equivalent scale | 3.794 | 3.782 | 0.882 |
(1.123) | (1.124) | ||
Unweighted household size | 6.382 | 6.416 | 0.831 |
(2.208) | (2.235) | ||
Dependent ratio | 0.749 | 0.711 | 0.078* |
(0.628) | (0.543) | ||
Age of household head | 47.540 | 47.990 | 0.667 |
(14.280) | (15.030) | ||
Geometric mean age of all adults | 36.380 | 37.190 | 0.277 |
(10.430) | (10.340) | ||
Weighted education for all adults | 8.224 | 7.656 | 0.041** |
(3.855) | (3.892) | ||
Knowledge on improved seeds (years) | 3.970 | 2.340 | 0.001** |
(6.150) | (7.840) | ||
Total household wealth (Tshs) | 933,069.290 | 819,294.960 | 0.281 |
(171,829.620) | (129,425.150) | ||
Quality of government extension services | 6.250 | 4.700 | 0.000*** |
(4.030) | (3.990) | ||
Quality of extension services from NGOs | 1.280 | 1.050 | 0.214 |
(2.820) | (2.370) | ||
Participation in market activities (%) | 18.130 | 10.460 | 0.463 |
Participation in credit market (%) | 7.540 | 4.010 | 0.415 |
 | Number | Number | % adopters |
Minimum interaction with research | 87 | 58 | 60 |
Some interaction with research activities | 358 | 199 | 64.27 |
High interaction with research activities | 60 | 60 | 50 |
Intermediate Potential | 207 | 143 | 59.14 |
High potential | 298 | 174 | 63.14 |
Dodoma Region | 62 | 40 | 60.78 |
Kilimanjaro Region | 31 | 26 | 54.39 |
Manyara Region | 63 | 47 | 57.27 |
Shinyanga Region | 63 | 55 | 53.39 |
Singida Region | 286 | 149 | 65.75 |