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Table 2 Negative binomial and OLS regression models for energy insecurity

From: Fossil fuel dependence and energy insecurity

  

Oil dependency

 

Coal dependency

 

Model 1

Model 2

Model 3

Model 4

Model 5

Model 6

 

Days for electricity

Firm outages (%)

Electricity access (%)

Days for electricity

Firm outages (%)

Electricity access (%)

Variable name

      

Oil rents(% GDP)

 − 0.00

0.01

0.16*

(0.00)

(0.46)

(0.07)

Oil production dummy

0.11

 − 4.29

0.77

(0.08)

(4.21)

(1.25)

Coal rents (% GDP)

0.01

 − 2.16*

 − 0.02

(0.01)

(1.07)

(0.24)

Coal production dummy

0.07

 − 7.30*

 − 7.64**

(0.05)

(3.18)

(1.91)

Population(00,000)

 − 0.01*

 − 0.01

0.05**

 − 0.01

0.02

0.17**

(0.00)

(0.01)

(0.01)

(0.00)

(0.04)

(0.04)

Rural population(% total)

0.00

0.32**

 − 0.63**

0.01*

0.33**

 − 1.24**

(0.01)

(0.11)

(0.06)

(0.01)

(0.10)

(0.06)

Electoral democracy

 − 0.08

19.06

 − 1.08

 − 0.05

22.74*

 − 4.29

(0.09)

(9.78)

(2.16)

(0.09)

(11.51)

(2.56)

Corruption

0.12

13.80

 − 8.71**

0.22

13.86

 − 16.05**

(0.18)

(8.47)

(2.37)

(0.16)

(8.75)

(2.58)

GDP per cap ($000)

 − 0.00

 − 1.55**

 − 0.25**

 − 0.00

 − 1.46**

 − 0.14**

(0.00)

(0.33)

(0.03)

(0.00)

(0.31)

(0.01)

Military (% GDP)

0.00

 − 0.18**

 − 0.00

 − 0.29**

(0.01)

(0.06)

(0.00)

(0.05)

McFadden R.2

0.244

0.237

R.2

0.29

0.97

0.37

0.97

N

1407

235

3280

1551

215

3280

  1. Standard errors in parentheses. * p < 0.05, ** p < 0.01. Models 1 and 4 use negative binomial regression, all other models use OLS. Models 1, 3, 4 and 6 include country fixed effects. All models include an unreported year term and entropy balancing weights