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CO2-emissions from Norwegian oil and gas extraction


  • Gavenas, Ekaterina

    () (School of Economics and Business, Norwegian University of Life Sciences)

  • Rosendahl, Knut Einar

    () (School of Economics and Business, Norwegian University of Life Sciences)

  • Skjerpen, Terje

    () (School of Economics and Business, Norwegian University of Life Sciences)


Emissions from oil and gas extraction matter for the lifecycle emissions of fossil fuels, and account for significant shares of domestic emissions in many fossil fuel exporting countries. In this study we investigate empirically the driving forces behind CO2-emission intensities of Norwegian oil and gas extraction, using detailed field-specific data that cover all Norwegian oil and gas activity. We find that emissions per unit extraction increase significantly as a field’s extraction declines. Moreover, emission intensities increase significantly with a field’s share of oil in total oil and gas reserves. We also find some indication that oil and CO2-prices may have influenced emission intensities on the Norwegian continental shelf.

Suggested Citation

  • Gavenas, Ekaterina & Rosendahl, Knut Einar & Skjerpen, Terje, 2015. "CO2-emissions from Norwegian oil and gas extraction," Working Paper Series 07-2015, Norwegian University of Life Sciences, School of Economics and Business.
  • Handle: RePEc:hhs:nlsseb:2015_007

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    Cited by:

    1. Klemetsen, Marit E. & Rosendahl, Knut Einar & Lund Jakobsen, Anja, 2016. "The impacts of the EU ETS on Norwegian plants' environmental and economic performance," Working Paper Series 03-2016, Norwegian University of Life Sciences, School of Economics and Business.
    2. Josifovic, Aleksandar & Roberts, Jennifer J. & Corney, Jonathan & Davies, Bruce & Shipton, Zoe K., 2016. "Reducing the environmental impact of hydraulic fracturing through design optimisation of positive displacement pumps," Energy, Elsevier, vol. 115(P1), pages 1216-1233.

    More about this item


    CO2-emissions; Oil and gas extraction; Panel data estimation;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • L71 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Mining, Extraction, and Refining: Hydrocarbon Fuels
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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