Table 6

Results of the regression models

Operating incomeNumber of employeesInvestment
Model 1Model 2Model 3Model 4Model 5Model 6Model 7Model 8Model 9
Coef. βCoef. βCoef. βCoef. βCoef. βCoef. βCoef. βCoef. βCoef. β
Business name  −0.0634***  −0.1048***  −0.1019***
  (0.0146)  (0.0101)  (0.0162)
Ownership concentration −0.0155***−0.0154*** −0.0076***−0.0076*** −0.0200***−0.0200***
 (0.0005)(0.0005) (0.0004)(0.0004) (0.0005)(0.005)
Age0.2145***0.2338***0.2344***0.0676***0.0772***0.0783***0.6033***0.6061***0.6066***
(0.0055)(0.0055)(0.0055)(0.0040)(0.0041)(0.0040)(0.0048)(0.0049)(0.0048)
Secondary sector0.1736***0.1600***0.1584***0.04140.03470.0321−0.2813***−0.2830***−0.2856***
(0.0423)(0.0421)(0.0421)(0.0292)(0.0292)(0.0291)(0.0471)(0.0469)(0.0469)
Tertiary
sector
0.2238***0.2133***0.2107***0.02250.01730.0130−0.4056***−0.4070***−0.4111***
(0.0420)(0.0418)(0.0419)(0.0290)(0.0290)(0.0289)(0.0468)(0.0467)(0.0466)
Constant7.2513***7.2330***7.2541***3.0844***3.0752***3.1095***6.3835***6.3804***6.4154***
(0.0439)(0.0437)(0.0440)(0.0306)(0.0305)(0.0306)(0.0477)(0.0476)(0.0478)
R20.0240.0360.0370.0050.0100.0120.1980.1980.199
Lagrange's multiplier42509***42712***42670***40595***40691***40551***50777***50429***50388***
Number of businesses211492114921149211492114921149211492114921149
Number of observations232639232639232639232639232639232639232639232639232639

Note(s): The Lagrange's multiplier is distributed as a chi-square test with one degree of freedom exceeding the critical value and favouring the random effects of the GLS model on the OLS Greene (2012), Standard error values in brackets, *p < 0.10 **p < 0.05 ***p < 0.01

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