The impact of uptake of selected agricultural technologies on rice farmers’ income distribution in Ghana

Table 8 Probit estimates of propensity score for adoption of improved rice seed and fertilizer combination application

Variable	Coefficient	Std. err	z-value
Gender	−2.6656	0.9370	−2.84***
Log_Age	−0.3925	0.4107	−0.96
log_Years_Sch	0.2049	0.0960	2.13**
Marital_Status	−0.2338	0.2009	−1.16
Eco_Active_HH	0.0395	0.0337	1.17
log_Farm_Size	0.1381	0.2276	0.61
Land_Ownership	0.3784	0.2326	1.63
Attend_Training_Prog	0.4365	0.2029	2.15**
Lab_Inten_Imp_Rice_Var	−0.3629	0.2052	−1.77*
Lab_Inten_Fert_Use	−0.3071	0.2316	−1.33
Cap_Inten_Fert_Use	−1.3206	0.2130	−6.20***
Log_seed_cost	−0.0779	0.0464	−1.68*
log_TLU	0.2830	0.0949	2.98***
Log_Hours_Other_Eco_Act	−2.3951	0.3974	−6.03***
Log_Infants_cent	−0.2484	0.1879	−1.32
Log_ Hours_Com_ activities	−0.8428	0.7330	−1.15
Main_Act_Most_Time_Spent	−0.2673	0.2528	−1.06
Location	0.6989	0.2552	2.74***
Income_Other_Crop	0.0006	0.0002	3.18***
Gen_Land_Own	0.0987	0.6431	0.15
Gen_Infants_cent	−1.6011	0.5485	−2.92***
Constant	0.9554	2.2036	0.43
Pseudo-R²	0.5020
Log likelihood	−110.5123
Observations	723

ISSN: 2048-7010