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Table 3 Spearman correlation matrix among age, CS, HEA, AGEF, gender, community, ownership, location, BUSACT, and ACCESS_FIN

From: The mediating effect of microfinancing on access to finance and growth of microenterprises: evidence from the Philippines

Variable 1 2 3 4 5 6 7 8 9 10
1. Age          
2. CS 0.56         
3. HEA − 0.02 − 0.09        
4. AGEF 0.33 0.23 − 0.02       
5. Gender − 0.00 − 0.05 0.09 0.08      
6. Community − 0.11 − 0.14 0.35 0.02 0.22     
7. Ownership − 0.10 − 0.06 0.06 − 0.03 0.08 0.05    
8. Location − 0.05 0.02 0.04 0.14 0.06 0.13 0.18   
9. BUSACT − 0.03 − 0.06 0.04 − 0.21 − 0.02 0.06 − 0.13 − 0.15  
10. ACCESS_FIN 0.18 0.19 − 0.04 0.16 − 0.07 − 0.14 − 0.02 − 0.10 − 0.08
  1. The critical values are 0.08, 0.11, and 0.14 for significance levels .05, .01, and .001, respectively
  2. CS civil status, HEA highest educational attainment, AGEF the age of the firm, BUSACT the business activity, AVEGROW the average growth of the microenterprises