Forecasting emissions of atmospheric pollutants in North Korea

Seung Kuk Cho; Seung Jun Kwak

doi:10.1007/BF03353970

Forecasting emissions of atmospheric pollutants in North Korea

Research output: Contribution to journal › Article › peer-review

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), SO_x, CO₂, hydrocarbons (HC), and NO_x, 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
Pages (from-to)	29-43
Number of pages	15
Journal	Environmental Economics and Policy Studies
Volume	4
Issue number	1
DOIs	https://doi.org/10.1007/BF03353970
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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/BF03353970

Cite this

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abstract = "Based on North Korea{\textquoteright}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.",

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AU - Kwak, Seung Jun

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AB - 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.

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Forecasting emissions of atmospheric pollutants in North Korea

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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