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Table 9 Results of regression model 2b for price of electricity in KWh

From: Enhancing the comparability of costing methods: cross-country variability in the prices of non-traded inputs to health programmes

Number of observations = 60 Adjusted r2 = 0.7923 F statistic = 76.02 p of F statistic < 0.0001
Variable Coefficient SE T P
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
  1. Dependent variable: log ratio of price of electricity in KWh to GDP per capita.
  2. Breusch-Pagan test of heteroskedasticity: 2.55 (p Chi2 = 0.11)
  3. VIF test for multicolinearity:1.20 (less than 2 indicates no multicollinearity)