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Agricultural and Food Economics

Table 2 Regression results on factors affecting adoption

From: Factors affecting adoption of improved sorghum varieties in Tanzania under information and capital constraints

Variables Estimate 1 Pr(>|t|) Estimate 2 Pr(>|t|)
Adoption equation (adoption > 0, non-adoption = 0)
 Intercept 0.4353 0.5662 0.1377 0.7802
 Gender of household head 0.4700 0.2104 0.0320 0.8914
 Marital status of household head 0.6969 0.0309* 0.3353 0.0535*
 Labor availability equivalent − 0.1123 0.3164 − 0.0284 0.5384
 Geometric mean of adult’s age − 0.0046 0.6442 − 0.0103 0.0890*
 Weighted education variable 0.0409 0.2394 0.0105 0.5833
 Knowledge on ISVs in years 6.2918 0.9969 5.9261 0.0042***
 Log total household income 0.0029 0.8202 − 0.0105 0.2757
 Quality of extension services 0.0980 0.0042** 0.0483 0.0295**
 Intensity of research activities − 0.5194 0.0474* 0.4872 0.0407**
 Market participation 0.3692 0.3757 0.4954 0.0090***
 Use credit to buy inputs 0.1038 0.7843 0.2036 0.4593
 Singida 0.1200 0.6517 − 0.3409 0.0100**
 Kilimanjaro − 0.6328 0.2068 − 0.9936 0.0002***
 Shinyanga 0.0317 0.9315 − 0.0797 0.7388
Information constraint (present = 1, not present = 0)
 Intercept 0.3039 0.2614 0.7776 0.0175**
 Log total household income − 0.0145 0.1265 − 0.0204 0.0847*
 Quality of extension services 0.0201 0.3850 − 0.0222 0.4034
 Knowledge on ISVs in years − 0.0642 0.0001*** − 0.0610 0.0209**
 Intensity of research activities − 0.2509 0.1476 − 0.3116 0.1690
 Market participation − 0.1276 0.5881 − 0.2113 0.4087
 Use credit to buy inputs − 0.5157 0.2916 − 0.5202 0.4207
Capital constraint (present = 1, not present = 0)
 Intercept 9.6076 0.0000*** 5.0496 0.0000***
 Log total household income − 0.6369 0.0000*** − 0.3503 0.0000***
 Quality of extension services − 0.0364 0.2636 − 0.0209 0.3308
 Knowledge on ISVs in years − 0.7864 0.0001*** − 0.5884 0.0010***
 Intensity of research activities 0.0938 0.6657 0.0747 0.7636
 Market participation − 0.8787 0.1359 − 0.4442 0.0565*
 Use credit to buy inputs − 1.1272 0.1920 − 1.5583 0.0499***
 Sigma 1.8722 0.0001*** 2.0558 0.0001***
 ρ12    − 0.9061 0.0001***
 ρ13    − 0.9077 0.0001***
 ρ23    0.8885 0.0001***
 Log-likelihood − 1299.9 0.0783* − 1285.2 0.0089**
 Vuong test 29.1980 0.0001*** 29.1780 0.0001***
  1. The stars show statistical significance at the 1% (***), 5% (**), and *10% level
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