Forecasting electricity demand in the Philippine industrial sector
| dc.contributor.advisor | Ducanes, Geoffrey M. | |
| dc.contributor.author | Ang, Ricardo B. III | |
| dc.date.accessioned | 2024-11-14T07:08:00Z | |
| dc.date.available | 2024-11-14T07:08:00Z | |
| dc.date.issued | 2017-07 | |
| dc.description.abstract | This paper develops forecasting models for Philippine industrial electricity demand using error correction (EC) models. The demand models use output, price, employment, financial development, and temperature as explanatory variables. Electricity demand forecasting models generally consider limited driver variables such as output and price. However, electricity is always used in combination with other factors to produce a good or service. Hence, in addition to the level of output produced, we can expect the demand for electricity to be also influenced by its interaction with labor, capital, and the production technology. This paper accounts for this by including the levels of employment and financial development in the model. Using annual time series data from 1985 to 2015, this paper estimates short- and long-run elasticities of demand, and fifteen-year forecasts (under different scenarios) are performed for policy recommendation. | |
| dc.identifier.uri | https://selib.upd.edu.ph/etdir/handle/123456789/1319 | |
| dc.language.iso | en | |
| dc.title | Forecasting electricity demand in the Philippine industrial sector | |
| dc.type | Thesis |