Forecasting emissions of atmospheric pollutants in North Korea

Seung Kuk Cho, Seung Jun Kwak

    Research output: Contribution to journalArticlepeer-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), 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 languageEnglish
    Pages (from-to)29-43
    Number of pages15
    JournalEnvironmental Economics and Policy Studies
    Volume4
    Issue number1
    DOIs
    Publication statusPublished - 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

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