| 摘要(英) |
With the progress of the times, we need to focus on energy supply and demand problem. Electricity is indispensable of modern life, but also promotes economic development. As a result, use geographic information systems (QGIS) to measure climate factors, income and demographic variables on residential electricity consumption as an investigation. For this purpose, we use Ordinary Least Squares and Fixed effect model to estimate demand equation with this analysis of panel data of village during the period 2014-2016 in Taipei City.
The empirical results show that：(1)The Heating Degree Days is significantly related to electricity consumption in Taipei City.(2) Average monthly income per household in the empirical model of fixed effects results for income is a significantly negative impact.(3)When joins the demographic characteristic variable, under the condition of average monthly income per person, population density is negative and insignificant. While the average monthly income per household conditions, population density is negative and significant, indicating the economies of scale. (4) The positive and significant influence on the number of household indicates the changes of residential structure-mostly live singles (5) Elderly above 65 years old is positively and significantly related to electricity consumption. |
| 參考文獻 |
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