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. 2023 Jul 16;9(7):e18332. doi: 10.1016/j.heliyon.2023.e18332

Table 7.

Determinants of adoption of SWC practices in Nada and Gulufa sub-watersheds.

Variable Nada sub-watershed
Gulufa sub-watershed
Coefficient Marginal effect Standard error P>‖Z‖ Coefficient Marginal effect Standard error P>‖Z‖
Sex 2.32 0.1099 3.96 0.558 1.54 0.065 3.09 0.62
Age −0.068 −0.0032 0.048 0.16 −0.134 −0.0056 0.065 0.041b
Family size 0.175 0.0083 0.182 0.338 0.125 0.0053 0.172 0.467
Education −0.323 −0.0153 0.182 0.076c 0.204 0.0086 0.217 0.349
Land size −0.782 −0.0370 0.513 0.128 −2.52 −0.1061 1.09 0.022b
TLU 0.551 0.0261 0.354 0.12 0.67 0.028 0.282 0.017b
Responsibility 3.766 0.1783 1.144 0.001a 2.43 0.1026 1.14 0.034b
Extension 2.339 0.1107 1.046 0.025b 1.79 0.076 1.37 0.19
Distance −0.0099 0.00047 0.011 0.355 −0.029 −0.0013 0.014 0.038b
Perception 2.22 0.1053 0.759 0.003a 0.82 0.0346 0.438 0.061c
Slope 0.168 0.0079 0.676 0.804 2.87 0.1211 1.64 0.079c
Material 2.92 0.1384 0.997 0.003a 1.30 0.055 1.12 0.242
Workability 0.19 0.0090 0.708 0.787 2.54 0.1068 0.75 0.001a
Constant −8.46 5.597 0.131 −9.67 5.81 0.096
Log likelihood = -22.09; Number of observation = 138; LR chi2(13) = 146.08; Prob > Chi2= 0.0000; Pseudo R2= 0.7678; overall classification = 96.38%. Log likelihood = -18.29; Number of observation = 129; LR chi2(13) = 137.37; Prob > Chi2= 0.00001; Pseudo R2= 0.7897; overall classification = 93.80%.

a, b, c = significance at 1%, 5% and 10%, respectively.