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Table 9 Time to profitability

From: Entrepreneurial, institutional and financial strategies for FinTech profitability

Variables

Test of proportional-hazards assumption

Cox regression model

Rho (p value)

Hazard ratio

Entrepreneurship

0.115

0.645*

 

(0.178)

(0.152)

Single entrepreneur

− 0.043

1.516***

 

(0.635)

(0.205)

Born mobile app

0.117

1.353

 

(0.144)

(0.404)

Born tech cluster

0.028

0.645***

 

(0.746)

(0.104)

Born accelerator

0.034

1.660**

 

(0.837)

(0.401)

Initial seed capital

0.126

1.495**

 

(0.220)

(0.301)

Initial venture capital

0.024

0.869

 

(0.859)

(0.219)

Equity finance

− 0.024

1.725

 

(0.802)

(0.999)

Investment

− 0.114

1.569

 

(0.214)

(0.964)

Personal finance

− 0.043

0.693

 

(0.644)

(0.535)

Lending

− 0.010

1.468

 

(0.913)

(0.843)

Neobank

− 0.036

4.195**

 

(0.702)

(2.514)

Payments

− 0.045

1.457

 

(0.638)

(0.856)

Currencies

− 0.117

1.350

 

(0.137)

(0.973)

Financial product distribution

0.015

0.762

 

(0.879)

(0.473)

Business consultancy

− 0.028

1.651

 

(0.765)

(0.966)

Financial Infrastructure

− 0.018

2.099

 

(0.850)

(1.226)

Global test (p value)

0.7311

Observations

170

Clustered standard errors

FinTech

  1. This table presents the results of the survival analysis on the time (years) to profitable. FinTech. Column 1 reports the rho value and the p value associated for the test of proportional hazards assumption. Column 2 reports the hazard ratio for the Cox Regression Model. All variables are described in Table 6. Standard errors are clustered at the Fintech-level. A constant term (not reported) is included. *, **, *** Coefficients are statistically significant different than zero at least at 10%, 5%, and 1% levels