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A Systems View Across Time and Space

Table 3 Correlation matrix of the independent variables with outcome variable

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

Variables

WEP

AGE

EDUL

PREEXP

MARS

ACCF

ACCMR

ACCBUTR

LANOWN

PHINFRA

GOVTSUP

TAX

ACCBINF

WEP

1

.109

.160a

.207b

.006

.087

.071

.260b

.057

.052

.189a

.123

.155a

AGE

 

1

− .079

− .040

.025

− .035

.033

− .036

− .095

− .163a

.054

.063

− .135

EDUL

  

1

.018

− .094

− .056

.186a

− .016

− .148a

.015

− .071

.038

.067

PREEXP

   

1

.302b

.258b

.289b

.037

− .156a

− .210b

− .096

− .186a

.208b

MARS

    

1

.242b

.362b

− .185a

− .162a

− .194b

.042

− .121

− .003

ACCF

     

1

.298b

− .136

− .279b

− .154a

− .079

.052

.255b

ACCMR

      

1

− .155a

− .333b

− .207b

− .194b

− .071

.038

ACCBUTR

       

1

.150a

.188a

.182a

− .080

.239b

LANOWN

        

1

.222b

.119

.044

− .039

PHINFRA

         

1

.087

− .137

− .126

GOVTSUP

          

1

− .164a

.046

TAX

           

1

− .156a

ACCBINF

            

1

  1. WEP women entrepreneurs’ performance, AGE age of the respondents, EDUL educational level of the respondents, PREEXP previous entrepreneurial experience of the respondents, MARS marital status of the respondents, ACCF access to finance, ACCMR access to market for products, ACCBUTR access to business training, LANOWN land ownership, PHINFRA physical infrastructure access, GOVTSUP government support, TAX levied tax, ACCBINF access to business information
  2. Source: survey result, 2020
  3. aCorrelation is significant at the 0.05 level (2-tailed)
  4. bCorrelation is significant at the 0.01 level (2-tailed)