Table 9 |
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Results of regression model 2b for price of electricity in KWh |
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|
Number of observations = 60 |
Adjusted r2 = 0.7923 |
F statistic = 76.02 |
p of F statistic < 0.0001 |
|
|
Variable |
Coefficient |
SE |
T |
P |
|
|
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|
ln GDP per capita |
-1.090 |
.0941 |
-11.58 |
0.000 |
|
ln total electricity consumption |
-.1098 |
.0410 |
-2.68 |
0.010 |
|
ln percentage of electricity generated from fossil fuel |
.107 |
.0544 |
1.97 |
0.054 |
|
Constant |
.1366 |
.7399 |
0.18 |
0.854 |
|
|
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|
Dependent variable: log ratio of price of electricity in KWh to GDP per capita. Breusch-Pagan test of heteroskedasticity: 2.55 (p Chi2 = 0.11) VIF test for multicolinearity:1.20 (less than 2 indicates no multicollinearity) |
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|
Johns et al. Cost Effectiveness and Resource Allocation 2006 4:8 doi:10.1186/1478-7547-4-8 |
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