Skip to main content

Table 7 Results of binary logistic regression (forward conditional) model showing factors affecting income diversification for livelihood (N = 100)

From: Rethink the interlink between land degradation and livelihood of rural communities in Chilga district, Northwest Ethiopia

Explanatory variables B S.E. df Sig (p) Exp (B)
GED 1.525 .265 1 .00** .292
AGE .462 .413 1 .010** .159
EDUCL .064 .027 1 .030* 1.046
LHS .351 .393 1 .012** 1.394
FMS .659 .257 1 .010** 1.933
MRS .490 .252 1 .075 1.133
Constant 4.613 .918 1 .001** 1.54
  1. Variables: GED; AGE; EDUCL; LHS; FMS; MRS. PGIDP −2 Log likelihood function = 57.66; X2 = 31.027; df = 1; constant = 4.613; Cox and Snell R square = .572; Nagelkerke R square = .772. Source: Survey result, 2016
  2. **P < .01
  3. *P < .05