The Impact of Climate-Smart Agriculture Technology on Productivity: Does Row Planting Matter? Evidence from Southern Ethiopia

Table 5

Determinants and impact of row planting semiparametric LIV regression.

Parameters	Estimates
Household size	−0.267 (0.008)
Education	−0.276 (0.076)
Gender	−1.334 (0.109)
Age	0.022 (0.728)
Farm experience	−0.026 (0.714)
Livestock ownership(TLU)	0.107 (0.589)
Extension	−0.041 (0.196)
Farm size	−0.423 (0.101)
Fertilizer use	−0.585 (0.638)
Off-farm activities	−1.691 (0.389)
Access to credit	−0.178 (0.732)
hfsXp (interaction of household size and pscore)	0.631 (0.004)
educXp (interaction of education and P score)	0.374 (0.343)
genXp (interaction of gender and pscore)	1.567 (0.452)
ageXp (interaction of age and pscore)	0.048 (0.756)
farm_expXp (interaction of farm experience and pscore)	0.052 (0.787)
livestockXp (interaction of livestock ownership and pscore)	−0.254 (0.618)
ExtensionXp (interaction of extension visit and pscore)	0.004 (0.954)
Farm-sizeXp (interaction of farm-size and pscore)	0.961 (0.106)
fertilizerXp (interaction of fertilizer use and pscore)	0.987 (0.680)
off_farmXp (interaction of off-farm participation and pscore)	2.787 (0.353)
creditXp (interaction of access to credit and P score)	0.580 (0.651)
E Y1–Y0)@X	2.687 (0.026)

Note that the outcome variable is the log of productivity. significant at a 1% level of significance. significant at a 5% level of significance. significant at a 10% level of significance.