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A Systems View Across Time and Space

Table 6 Logistic regression results for the growth of MSEs

From: Socioeconomic determinants of micro and small enterprise growth in North Wollo and Waghimira Zone selected towns

Grth

Coef.

St.Err.

t value

p value

95% Conf interval

Sig

Sx

1.689

.706

1.25

.210

.745

3.83

 

Agow

8.739

4.497

4.21

.000

3.188

23.959

***

Edubaow

1.793

.816

1.28

.199

.735

4.375

 

Accfi

13.475

5.221

6.71

.000

6.305

28.798

***

buage

1.09

.335

0.28

.778

.598

1.989

 

busty

1.555

.503

1.36

.173

.825

2.932

 

fambuba

4.446

2.117

3.13

.002

1.748

11.305

***

bulo

.726

.448

− 0.52

.605

.217

2.436

 

enttr

.069

.05

− 3.69

.000

.017

.285

***

exp

.29

.155

− 2.32

.021

.102

.827

**

sores

1.258

.386

0.75

.454

.69

2.294

 

taxra

1.259

.42

0.69

.491

.654

2.421

 

inflra

.52

.162

− 2.10

.036

.282

.957

**

intra

2.853

1.237

2.42

.016

1.22

6.676

**

compt

.406

.13

− 2.82

.005

.217

.76

***

soatt

1.233

.225

1.15

.252

.862

1.762

 

Constant

.021

.024

− 3.28

.001

.002

.21

***

Mean dependent var

0.488

SD dependent var

0.501

Pseudo r-squared

0.320

Number of obs

303.000

Chi-square

134.371

Prob > chi2

0.000

Akaike crit. (AIC)

319.514

Bayesian crit. (BIC)

382.647

  1. *** p < .01, ** p < .05, * p < .1
  2. Source: Own survey (2020)