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A Systems View Across Time and Space

Table 4 Credit constraint and Investment in self-generation

From: Firm performance under financial constraints: evidence from sub-Saharan African countries

Variable

Two-part model (1)

Heckman selection model (2)

Probit

Gsh > 0

Probit

Gsh > 0

Outages(ln)

0.024*

0.011***

0.038***

0.010***

 

(0.016)

(0.002)

(0.016)

(0.002)

Age(ln)

0.112***

 − 0.001

0.094

 − 0.004

 

(0.035)

(0.005)

(0.035)

(0.005)

Constrainta

 − 0.141***

 − 0.008)

 − 0.138***

 − 0.0037

 

(0.051)

(0.006)

(0.051)

(0.006)

Small

 − 0.463***

 − 0.0037

 − 0.451***

0.006

 

(0.055)

(0.0075)

(0.056)

(0.008)

Large

0.4038***

0.018**

0.394***

0.006**

 

(0.080)

(0.009)

(0.080)

(0.010)

Industry dummy

Yes

Yes

Yes

No

Country dummy

Yes

Yes

Yes

Yes

ρ

 

 − 0.492***

   

(0.093)

 

δ

 

0.155***

   

(0.003)

 

LR test of indep. eqns (ρ = 0)

χ2(1) = 9.98 P > χ2 = 0.001

  1. Column one reports the result estimated by the Heckman selection model. The figures in brackets are standard errors. Probit is the decision equation which indicates whether a firm has invested in self-generation or not and Gsh is the volume of investment for those who have invested in self-generation. Gsh is measured by the percentage of self-generation from the total electricity load of the firm. The variable credit constrainta is a dummy variable which measures a firm’s credit constraint and takes a value of 1 if the firm is credit constrained, zero otherwise. The base category for firm size is medium
  2. *, **, *** shows significance at 10%, 5% and 1%, respectively