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