Research Article
Determinants of Electricity Consumption Intensity in China: Analysis of Cities at Subprovince and Prefecture Levels in 2009
Table 3
Descriptive statistics and units of original data.
| Variable | Unit | Mean | Standard deviation | Minimum | Maximum |
| Output concentration () | % | 45.533 | 23.585 | 8.038 | 100.000 | Population concentration () | % | 33.224 | 22.877 | 4.368 | 100.000 | Industrial concentration () | % | 48.899 | 25.140 | 5.447 | 100.000 | Fiscal concentration () | % | 52.600 | 25.490 | 5.931 | 100.000 | Investment concentration () | % | 45.047 | 23.766 | 7.300 | 100.000 | Share of industrial output () | % | 50.378 | 11.814 | 9.740 | 82.390 | Share of industrial employment () | % | 45.419 | 15.178 | 6.550 | 79.450 | Share of industrial electricity consumption () | % | 65.964 | 18.926 | 7.243 | 98.839 | Decease rate of energy intensity () | % | 4.908 | 2.295 | 0.830 | 9.730 | Decease rate of energy intensity of industry () | % | 8.984 | 3.057 | 0.030 | 15.100 | Decease rate of electricity consumption intensity () | % | 5.330 | 0.812 | 2.810 | 6.970 | Urbanization degree of the province () | % | 46.903 | 8.743 | 29.890 | 63.400 | Share of nonagricultural population () | % | 61.423 | 25.211 | 13.480 | 100.000 | Urbanization degree of the city () | % | 44.321 | 14.790 | 13.840 | 100.000 | Average retail price of electricity () | Yuan/MWH | 512.013 | 85.014 | 298.630 | 699.400 | Annual average temperature () |
°C | 14.653 | 5.294 | −1.880 | 25.500 | Ensured reserves of iron ore () | 100 million tons | 9.916 | 16.698 | 0.000 | 70.200 |
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Note. Some maximum values of concentration variables are 100% because of the fulfillment of urbanization in some region.
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