Skip to main content
Journal of Innovation and Entrepreneurship

A Systems View Across Time and Space

Table 4 Results of the logit (entry method) model showing determinants that influence women entrepreneurs’ performance (N = 180)

From: Determinants that influence the performance of women entrepreneurs in micro and small enterprises in Ethiopia

Independent variables

B

SE

Sig (p)

Exp(B)

AGE

.793

.592

.180

.452

EDUL

2.323

.798

.004**

.098

MARS

.673

.656

.305

1.961

PREEXP

1.903

.701

.007**

6.709

ACCF

2.382

.819

.004**

.092

ACCMR

.933

.728

.200

.393

ACCBUTR

2.237

.697

.001*

9.366

ACCBINF

1.436

.690

.037**

4.206

LANOWN

1.837

.745

.014**

.159

PHINFRA

.338

.961

.725

.713

GOVTSUP

2.284

.853

.007**

.102

TAX

2.066

.681

.002**

7.891

  1. Variable(s) entered on step 1: ACCF, ACCMR, ACCBUTR, LANOWN, PHINFRA, GOVTSUP, TAX, AGE, EDUL, PREEXP, MARS, and ACCBINF
  2. − 2 log likelihood function = 98.030; χ2 = 57.572; d.f = 12; constant = − 1.483; Cox and Snell R Square = 0.274; Nagelkerke R square = 0.473
  3. Source: survey result, 2020
  4. *p < 0.01
  5. **p < 0.05
Back to article page