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

Table 9 Average treatment effect of improved rice technologies adoption net income per acre: PSM estimation

Matching algorithm	Rice variety users (n = 164)	Fertilizer users (n = 103)	ATT	t-value	Change (%)
NNM	1017.80	1224.15	−206.35	−0.95	−16.86
KBM	1017.80	1288.51	−270.71	−1.50	−21.01
Radius	1017.80	1175.61	−157.81	−3.40***	−13.42

Matching algorithm	Rice variety users (n = 164)	Both rice variety and fertilizers users (n = 249)	ATT	t-value	Change (%)
NNM	1017.80	1578.31	−560.50	−4.01***	−35.51
KBM	1020.80	1552.71	−531.91	−4.81***	−34.26
Radius	1017.80	1599.74	−581.94	−12.44***	−36.38

Matching algorithm	Fertilizers users (n = 103)	Non-users (n = 401)	ATT	t-value	Change (%)
NNM	1175.61	149.86	1025.75	2.73***	684.47
KBM	886.40	636.73	249.67	1.29	39.21
Radius	1175.61	630.95	544.66	7.31***	86.32

Matching algorithm	Fertilizers users (n = 103)	Rice variety users (n = 164)	ATT	t-value	Change (%)
NNM	1175.61	1037.97	137.65	0.91	13.26
KBM	1175.61	1065.77	109.85	0.80	10.31
Radius	1175.61	1017.80	157.81	2.14**	15.51

Matching algorithm	Fertilizers users (n = 103)	Both rice variety and fertilizers users (n = 249)	ATT	t-value	Change (%)
NNM	1175.61	1481.20	−305.59	−2.30**	−20.63
KBM	1175.61	1484.87	−309.25	−2.83***	−20.83
Radius	1175.61	1599.74	−424.13	−5.73***	−26.51

ATT, Average Treatment Effect on the Treated, *,** and *** are significant at 10, 5 and 1% levels, respectively

ISSN: 2048-7010