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Table 11 Alternative performance measures: sales and ebitda

From: Entrepreneurial, institutional and financial strategies for FinTech profitability

Variables

Log of sales

Profitable (EBITDA > 0)

Size

69.058***

5.881***

 

(8.039)

(1.681)

Asset structure

1.542***

0.277***

 

(0.330)

(0.0806)

Liquidity

− 0.00280***

− 0.000495***

 

(0.000748)

(9.56e−05)

Solvency

− 0.000688

0.000492**

 

(0.00110)

(0.000231)

Leverage

4.35e−05

− 1.52e−08

 

(0.000102)

(3.89e−07)

Efficiency

0.00897

0.00148

 

(0.00643)

(0.00105)

Entrepreneur

− 0.596**

− 0.224*

 

(0.309)

(0.115)

Number of partner founders

0.221

0.00566

 

(0.211)

(0.0425)

Single entrepreneur

0.954**

0.216**

 

(0.371)

(0.0881)

Mobile app

0.0627

− 0.0162

 

(0.307)

(0.0688)

Digital tracking

0.0242***

0.00229**

 

(0.00466)

(0.00107)

Digitally tracked regionally

− 0.245

− 0.0693

 

(0.237)

(0.0592)

Funding

0.408*

− 0.084*

 

(0.221)

(0.0446)

Public subsidy

− 0.260

0.00855

 

(0.271)

(0.0572)

FinTech accelerator

1.556**

0.353**

 

(0.598)

(0.158)

Bank investor

− 0.783

− 0.129

 

(0.923)

(0.119)

Tech cluster

− 1.007*

− 0.342***

 

(0.599)

(0.126)

Time trend

0.251***

0.047***

 

(0.0411)

(0.0163)

Observations

706

706

Number of FinTech

170

170

Year

Yes

Yes

Fixed Effects

Yes

Yes

Clustered standard errors

FinTech

FinTech

R2

0.8457

0.6035

  1. Column 1 presents the coefficients and the clustered standard errors for the panel regression on the natural logarithm of FinTech sales. Column 2 presents the coefficients and the clustered standard errors for the panel probit regressions on being profitable (the dependent variable takes the value 1 if the FinTech’s ebitda is positive). All variables are defined in Table 2. Standard errors are clustered at the FinTech-level. A constant term (not reported) is included in all regressions. *, **, *** Coefficients are statistically significant different than zero at least at 10%, 5%, and 1% levels