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Estimating Greenhouse Gas Emissions. A Kaya-type Dynamic Panel

Author

Listed:
  • Dorin JULA

    (Institute for Economic Forecasting, Romanian Academy and Faculty of Economics, Ecological University of Bucharest)

  • Nicoleta JULA

    ("Nicolae Titulescu" University of Bucharest)

Abstract

In the paper, we use Kaya identity and the cointegration relationship between the dynamics of population, economic growth, energy intensity of gross domestic product and carbon intensity of energy produced in order to estimate, on long-run, the greenhouse gas emissions.

Suggested Citation

  • Dorin JULA & Nicoleta JULA, 2016. "Estimating Greenhouse Gas Emissions. A Kaya-type Dynamic Panel," Working papers 01, Ecological University of Bucharest, Department of Economics.
    • Handle: RePEc:eub:wpaper:2016-01
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    References listed on IDEAS

    as
    1. Duro, Juan Antonio & Padilla, Emilio, 2008. "Analysis of the international distribution of per capita CO2 emissions using the polarization concept," Energy Policy, Elsevier, vol. 36(1), pages 456-466, January.
    2. Jula, Dorin & Jula, Nicolae Marius, 2013. "Economic Growth and Structural Changes in Regional EmploymenT," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 52-69, June.
    3. Duro, Juan Antonio & Padilla, Emilio, 2006. "International inequalities in per capita CO2 emissions: A decomposition methodology by Kaya factors," Energy Economics, Elsevier, vol. 28(2), pages 170-187, March.
    4. Jula, Dorin & Jula, Nicoleta, 2007. "Inter-industries productivity gap and the services employment dynamics," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 4(2), pages 5-15, June.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Kaya identity; greenhouse gas emissions; panel data model;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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