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Estimation and forecast of carbon dioxide emission in Iran: Introducing a new hybrid modelling

Author

Listed:
  • Tavan Mohsen

    (Department of Economics, Faculty of Literature and Humanities, Persian Gulf University, Bushehr, Iran)

Abstract

Aim/purpose – The purpose of this paper is to introduce a new hybrid modelling to predict carbon dioxide emissions in order to make the correct decision to reduce air pollution in Iran. While there are not many data available for some variables, in this modelling, the goal is to make accurate predictions even with low data.

Suggested Citation

  • Tavan Mohsen, 2019. "Estimation and forecast of carbon dioxide emission in Iran: Introducing a new hybrid modelling," Journal of Economics and Management, Sciendo, vol. 36(2), pages 144-167, June.
  • Handle: RePEc:vrs:jecman:v:36:y:2019:i:2:p:144-167:n:7
    DOI: 10.22367/jem.2019.36.08
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    References listed on IDEAS

    as
    1. Chirok Han & Hyelim Lee, 2013. "Dependence Of Economic Growth On Co2 Emissions," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 38(1), pages 47-57, March.
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    More about this item

    Keywords

    forecast; carbon dioxide; Fuzzy Auto-Regressive Distributed Lag; Iran;
    All these keywords.

    JEL classification:

    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • P48 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - Legal Institutions; Property Rights; Natural Resources; Energy; Environment; Regional Studies
    • P18 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Energy; Environment

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