Table 4.

Ordered probit estimates of the factors influencing the number of CSA practices adopted.

Variables	Coefficients	Average marginal effects
		Pr (Y = 0|X)	Pr (Y = 1|X)	Pr (Y = 2|X)	Pr (Y = 3|X)	Pr (Y = 4|X)	Pr (Y = 5|X)	Pr (Y = 6|X)
HHSEX	0.404∗∗∗	-0.059∗∗	-0.024∗	-0.043∗∗	-0.006∗	0.030∗	0.038∗∗	0.063∗
	(0.151)	(0.022)	(0.010)	(0.016)	(0.003)	(0.012)	(0.014)	(0.025)
HHSIZE	0.010	-0.001	-0.001	-0.001	-0.000	0.001	0.001	0.002
	(0.026)	(0.004)	(0.001)	(0.003)	(0.000)	(0.002)	(0.002)	(0.004)
HHAGE	-0.026∗∗∗	0.004∗∗	0.002∗∗	0.003∗∗	0.000∗	-0.002∗∗	-0.002∗∗	-0.004∗∗
	(0.008)	(0.001)	(0.001)	(0.001)	(0.000)	(0.001)	(0.001)	(0.001)
EDUCHEAD	-0.051∗∗	0.007∗	0.003∗	0.005∗	0.001∗	-0.004∗	-0.005∗	-0.008∗
	(0.021)	(0.003)	(0.001)	(0.002)	(0.000)	(0.002)	(0.002)	(0.003)
EDUCSPOUSE	-0.067∗∗∗	0.010∗∗	0.004∗∗	0.007∗∗	0.001∗	-0.005∗∗	-0.006∗∗	-0.010∗∗
	(0.024)	(0.004)	(0.002)	(0.003)	(0.000)	(0.002)	(0.002)	(0.004)
FARMEXP	0.016∗	-0.002	-0.001	-0.002	-0.000	0.001	0.002	0.003
	(0.009)	(0.001)	(0.001)	(0.001)	(0.000)	(0.001)	(0.001)	(0.001)
LANDSIZE	0.162∗∗∗	-0.024∗∗	-0.010∗	-0.017∗∗	-0.002∗	0.012∗	0.015∗	0.025∗∗
	(0.060)	(0.009)	(0.004)	(0.006)	(0.001)	(0.005)	(0.006)	(0.009)
LIVSTOCK	-0.048	0.007	0.003	0.005	0.001	-0.004	-0.005	-0.008
	(0.043)	(0.006)	(0.003)	(0.005)	(0.001)	(0.003)	(0.004)	(0.007)
TAV	0.005∗∗∗	-0.001∗∗	-0.000∗	-0.001∗∗	-0.000∗	0.000∗	0.001∗∗	0.001∗∗
	(0.002)	(0.000)	(0.000)	(0.000)	(0.000)	(0.000)	(0.000)	(0.000)
CREDIT	-0.202	0.029	0.012	0.021	0.003	-0.015	-0.019	-0.032
	(0.212)	(0.031)	(0.013)	(0.023)	(0.003)	(0.016)	(0.020)	(0.033)
SAVING	0.207∗	-0.030	-0.012	-0.022	-0.003	0.015	0.020	0.032
	(0.120)	(0.018)	(0.007)	(0.013)	(0.002)	(0.009)	(0.012)	(0.019)
NONFARM	-0.142	0.021	0.008	0.015	0.002	-0.011	-0.013	-0.022
	(0.133)	(0.020)	(0.008)	(0.014)	(0.002)	(0.010)	(0.013)	(0.021)
EXTFREQ	0.021∗∗∗	-0.003∗∗∗	-0.001∗∗∗	-0.002∗∗∗	-0.000∗∗	0.002∗∗∗	0.002∗∗∗	0.003∗∗∗
	(0.004)	(0.001)	(0.000)	(0.000)	(0.000)	(0.000)	(0.000)	(0.001)
FERTINDEX	0.419∗	-0.061	-0.025	-0.044	-0.006	0.031	0.040	0.066
	(0.226)	(0.033)	(0.014)	(0.024)	(0.004)	(0.017)	(0.022)	(0.036)
SLOPEINDEX	-0.230	0.034	0.014	0.024	0.003	-0.017	-0.022	-0.036
	(0.312)	(0.046)	(0.019)	(0.033)	(0.005)	(0.024)	(0.030)	(0.048)
EROSIOINDEX	-0.476∗	0.070	0.028	0.050	0.007	-0.035	-0.045	-0.075
	(0.287)	(0.042)	(0.017)	(0.031)	(0.005)	(0.022)	(0.028)	(0.045)
BELG	0.238	-0.035	-0.014	-0.025	-0.004	0.018	0.023	0.037
	(0.250)	(0.037)	(0.015)	(0.027)	(0.004)	(0.019)	(0.024)	(0.039)
SHOCK	-0.644∗∗∗	0.094∗∗∗	0.038∗∗∗	0.068∗∗∗	0.010∗∗	-0.048∗∗∗	-0.061∗∗∗	-0.101∗∗∗
	(0.159)	(0.024)	(0.011)	(0.018)	(0.004)	(0.013)	(0.015)	(0.028)
CCNOTICE	0.391∗∗∗	-0.057∗∗	-0.023∗∗	-0.042∗∗	-0.006∗	0.029∗∗	0.037∗∗	0.061∗∗
	(0.139)	(0.022)	(0.009)	(0.015)	(0.003)	(0.011)	(0.014)	(0.022)
MIDLAND	0.085	-0.012	-0.005	-0.009	-0.001	0.006	0.008	0.013
	(0.180)	(0.026)	(0.011)	(0.019)	(0.003)	(0.014)	(0.017)	(0.028)
HIGHLAND	-0.011	0.002	0.001	0.001	0.000	-0.001	-0.001	-0.002
	(0.278)
${\text{μ}}_1$	-1.404∗∗∗
	(0.425)
${\text{μ}}_2$	-1.051∗∗
	(0.426)
${\text{μ}}_3$	-0.311
	(0.418)
${\text{μ}}_4$	-0.102
	(0.418)
${\text{μ}}_5$	1.017∗∗
	(0.414)
${\text{μ}}_6$	1.607∗∗∗
	(0.413)
Observations	404	404	404	404	404	404	404	404

Log pseudolikelihood = -648.080.

Wald chi²(21) = 162.12.

Prob > chi² = 0.000.

Pseudo R² = 0.096.

Note: $\text{μ}$’s represents cut points.

Values in the parentheses are robust standard errors.

∗∗∗, ∗∗, and ∗ indicate statistical significance at 1%, 5% and 10%, respectively.