Abstract
Based on North Korea’s energy consumption of coal, oil, and electric power during a 20-year span between 1975 and 1994, this study estimated the demand of each energy source and forecasts the demand of each energy source for the next 10 years. The forecasted demand for energy, in turn, is used to forecast emissions of atmospheric pollutants, such as total suspended particles (TSP), SOx, CO2, hydrocarbons (HC), and NOx, for the next 10 years using emission factors. In doing so, this study adopts the ordinary least squares (OLS) approach and the vector autoregressive (VAR) approach, which, as only limited data are available concerning the energy, environmental, and economic situation of North Korea, is expected to improve the forecasting of emissions of atmospheric pollutants in North Korea.
Original language | English |
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Pages (from-to) | 29-43 |
Number of pages | 15 |
Journal | Environmental Economics and Policy Studies |
Volume | 4 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2001 |
Bibliographical note
Publisher Copyright:© 2001, Springer Japan.
Keywords
- Forecasting emissions
- North Korea
ASJC Scopus subject areas
- Economics and Econometrics
- Management, Monitoring, Policy and Law