Table 4. Correlation matrix between dependent and independent variables'
CHANTOT |
CHANMIC |
CHANSM_____ | |
Demand | |||
POPGR |
0.4226* |
0.4273* | |
GDPCAPGR | |||
DEMAND |
-0.3127* |
-0.3280* | |
LGPOPUL |
0.3810* |
0.3999* | |
Urbanisation/ agglomeration | |||
YOUNGPOP |
0.2216** |
0.2121** | |
MIGR | |||
HOUSEH |
-0.2130** | ||
SQDENS |
0.2818* |
0.2909* | |
Unemployment | |||
UNEMPLOY |
0.2129** | ||
Employment structure | |||
NONQUAL |
0.2413** | ||
GRAD | |||
Social structure | |||
WORKERS | |||
EMPLOYER |
0.2677* |
0.2821* | |
MANUF |
0.3032* |
0.3027* | |
AGRIC |
-0.2991* |
-0.3056* | |
Household wealth | |||
DEPCAP | |||
Size structure | |||
MEANSIZE |
0.3651* |
0.4272* | |
SMFIRMS |
0.3233* |
n.a. |
0.2834* |
SMPEREN |
n.a. |
0.4600* | |
LMFIRMS |
0.2515* |
n.a. | |
LMPEREN |
0.3247* |
n.a. | |
Production structure | |||
SPEC |
0.3883* | ||
SPECFIR |
0.3444* | ||
Government investments | |||
GOVERN |
0.2965* |
0.3161* | |
INCENTIVE |
0.3466* |
0.3589* | |
SIESHOP |
0.3145* |
0.3188* | |
PARCEL___________ |
0.3058*_______ |
0.3089*_______ |
* Coefficients significant at 0.05 level. ** Coefficients significant at 0.10 level.
'The correlation coefficients exceeding 0.10 significance level are excluded.
Those mentioned independent variables are incorporated in the regression analysis of each
dependent variable to explain change in firm population in those three groups. After some
efforts, the best equation fitted to explain CHANTOT is given below. The F test suggests
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