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What goes down must come up? Trends of industrial electricity use in the North-West of Russia

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  • Korppoo, Anna
  • Luukkanen, Jyrki
  • Vehmas, Jarmo
  • Kinnunen, Miia

Abstract

This article uses decomposition method to analyse industrial electricity consumption in North-Western Russia, namely in Archangelsk oblast, the Republic of Karelia and Murmansk oblast. The case sectors, forestry and electricity, have in most cases developed similarly in the chosen regions during 1990-2001. The decomposition analysis shows that the reduction of economic activity has reduced electricity consumption in all three regions but that it is not always the main factor reducing consumption. The changes in energy efficiency increased consumption in the forestry sector in all regions while in the electricity sector it led to a reduction. The changes in the structures of the regional economies increased electricity consumption in electricity industry which gained importance due to developments in the manufacturing industry. In Murmansk, forestry sector has almost disappeared during the observation period. This was the main observed electricity consumption reduction caused by structural changes. Many of the developments can be better understood against the general knowledge of transition factors.

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  • Korppoo, Anna & Luukkanen, Jyrki & Vehmas, Jarmo & Kinnunen, Miia, 2008. "What goes down must come up? Trends of industrial electricity use in the North-West of Russia," Energy Policy, Elsevier, vol. 36(9), pages 3588-3597, September.
    • Handle: RePEc:eee:enepol:v:36:y:2008:i:9:p:3588-3597
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    2. Inglesi-Lotz, Roula & Blignaut, James N., 2011. "South Africa’s electricity consumption: A sectoral decomposition analysis," Applied Energy, Elsevier, vol. 88(12), pages 4779-4784.
    3. Inglesi-Lotz, Roula, 2018. "Decomposing the South African CO2 emissions within a BRICS countries context: Signalling potential energy rebound effects," Energy, Elsevier, vol. 147(C), pages 648-654.
    4. Inglesi-Lotz, R. & Pouris, A., 2012. "Energy efficiency in South Africa: A decomposition exercise," Energy, Elsevier, vol. 42(1), pages 113-120.
    5. Moutinho, Victor & Madaleno, Mara & Inglesi-Lotz, Roula & Dogan, Eyup, 2018. "Factors affecting CO2 emissions in top countries on renewable energies: A LMDI decomposition application," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 605-622.

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