IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v36y2008i9p3588-3597.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301-4215(08)00275-9
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Engoian, Alda, 2006. "Industrial and institutional restructuring of the Russian electricity sector: Status and issues," Energy Policy, Elsevier, vol. 34(17), pages 3233-3244, November.
    2. Luukkanen, Jyrki & Kaivo-oja, Jari, 2002. "ASEAN tigers and sustainability of energy use--decomposition analysis of energy and CO2 efficiency dynamics," Energy Policy, Elsevier, vol. 30(4), pages 281-292, March.
    3. Filippov, Pavel & Dudarev, Grigory & Osipov, Alexey, . "Energy3 : Raw Materials, Production, Technology; Competitive Analysis of Northwest Russian Energy Cluster," ETLA B, The Research Institute of the Finnish Economy, number 197.
    4. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    5. Albrecht, Johan & Francois, Delphine & Schoors, Koen, 2002. "A Shapley decomposition of carbon emissions without residuals," Energy Policy, Elsevier, vol. 30(9), pages 727-736, July.
    6. Ang, B. W. & Liu, F. L. & Chew, E. P., 2003. "Perfect decomposition techniques in energy and environmental analysis," Energy Policy, Elsevier, vol. 31(14), pages 1561-1566, November.
    7. Sun, J. W., 1998. "Changes in energy consumption and energy intensity: A complete decomposition model," Energy Economics, Elsevier, vol. 20(1), pages 85-100, February.
    8. Zhang, ZhongXiang, 2003. "Why did the energy intensity fall in China's industrial sector in the 1990s? The relative importance of structural change and intensity change," Energy Economics, Elsevier, vol. 25(6), pages 625-638, November.
    9. Urge-Vorsatz, Diana & Miladinova, Gergana & Paizs, Laszlo, 2006. "Energy in transition: From the iron curtain to the European Union," Energy Policy, Elsevier, vol. 34(15), pages 2279-2297, October.
    10. Cooper, R. Caron & Schipper, Lee, 1991. "The Soviet energy conservation dilemma," Energy Policy, Elsevier, vol. 19(4), pages 344-363, May.
    11. Riitta Kosonen & Tuuli Juurikkala, 2003. "Monitoring regional differences in Northwest Russia," ERSA conference papers ersa03p476, European Regional Science Association.
    12. Sun, J.W & Ang, B.W, 2000. "Some properties of an exact energy decomposition model," Energy, Elsevier, vol. 25(12), pages 1177-1188.
    13. Pittman, Russell, 2007. "Restructuring the Russian electricity sector: Re-creating California?," Energy Policy, Elsevier, vol. 35(3), pages 1872-1883, March.
    14. Ang, B.W. & Zhang, F.Q., 2000. "A survey of index decomposition analysis in energy and environmental studies," Energy, Elsevier, vol. 25(12), pages 1149-1176.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Roula Inglesi-Lotz, 2017. "Decomposing the South African CO2 Emissions within a BRICS Countries Context the Energy Rebound Hypothesis," Working Papers 201751, University of Pretoria, Department of Economics.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fernández, Esteban & Fernández, Paula, 2008. "An extension to Sun's decomposition methodology: The Path Based approach," Energy Economics, Elsevier, vol. 30(3), pages 1020-1036, May.
    2. Ang, B.W. & Huang, H.C. & Mu, A.R., 2009. "Properties and linkages of some index decomposition analysis methods," Energy Policy, Elsevier, vol. 37(11), pages 4624-4632, November.
    3. Lenzen, Manfred, 2006. "Decomposition analysis and the mean-rate-of-change index," Applied Energy, Elsevier, vol. 83(3), pages 185-198, March.
    4. Banie Naser Outchiri, 2020. "Contributing to better energy and environmental analyses: how accurate are decomposition analysis results?," Cahiers de recherche 20-11, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    5. Fernández González, P. & Landajo, M. & Presno, M.J., 2014. "Tracking European Union CO2 emissions through LMDI (logarithmic-mean Divisia index) decomposition. The activity revaluation approach," Energy, Elsevier, vol. 73(C), pages 741-750.
    6. Vazquez, Luis & Luukkanen, Jyrki & Kaisti, Hanna & Käkönen, Mira & Majanne, Yrjö, 2015. "Decomposition analysis of Cuban energy production and use: Analysis of energy transformation for sustainability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 638-645.
    7. Lan, Jun & Malik, Arunima & Lenzen, Manfred & McBain, Darian & Kanemoto, Keiichiro, 2016. "A structural decomposition analysis of global energy footprints," Applied Energy, Elsevier, vol. 163(C), pages 436-451.
    8. Su, Bin & Ang, B.W., 2012. "Structural decomposition analysis applied to energy and emissions: Some methodological developments," Energy Economics, Elsevier, vol. 34(1), pages 177-188.
    9. Bor, Yunchang Jeffrey, 2008. "Consistent multi-level energy efficiency indicators and their policy implications," Energy Economics, Elsevier, vol. 30(5), pages 2401-2419, September.
    10. Nagashima, Fumiya, 2018. "The sign reversal problem in structural decomposition analysis," Energy Economics, Elsevier, vol. 72(C), pages 307-312.
    11. Carlino, Laurent & Coppens, François & González, Javier & Ortega, Manuel & Pérez-Duarte, Sébastien & Rubbrecht, Ilse & Vennix, Saskia, 2017. "Decomposition techniques for financial ratios of European non-financial listed groups," Statistics Paper Series 21, European Central Bank.
    12. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    13. Lin, Boqiang & Ouyang, Xiaoling, 2014. "Analysis of energy-related CO2 (carbon dioxide) emissions and reduction potential in the Chinese non-metallic mineral products industry," Energy, Elsevier, vol. 68(C), pages 688-697.
    14. Das, Aparna & Paul, Saikat Kumar, 2014. "CO2 emissions from household consumption in India between 1993–94 and 2006–07: A decomposition analysis," Energy Economics, Elsevier, vol. 41(C), pages 90-105.
    15. Tan, Hao & Sun, Aijun & Lau, Henry, 2013. "CO2 embodiment in China–Australia trade: The drivers and implications," Energy Policy, Elsevier, vol. 61(C), pages 1212-1220.
    16. Zhiqian Yu & Dalia Streimikiene & Tomas Balezentis & Rimantas Dapkus, 2017. "Final Energy Consumption Trends and Drivers in Czech Republic and Latvia," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 19(46), pages 866-866, August.
    17. Thomas A. Knetsch & Arne J. Nagengast, 2017. "Penny wise and pound foolish? On the income from Germany’s foreign investments," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 153(4), pages 753-778, November.
    18. Fernández González, P. & Presno, M.J. & Landajo, M., 2015. "Regional and sectoral attribution to percentage changes in the European Divisia carbonization index," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1437-1452.
    19. Štreimikienė, Dalia & Balezentis, Tomas, 2016. "Kaya identity for analysis of the main drivers of GHG emissions and feasibility to implement EU “20–20–20” targets in the Baltic States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1108-1113.
    20. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Assessing drivers of economy-wide energy use and emissions: IDA versus SDA," Energy Policy, Elsevier, vol. 107(C), pages 585-599.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:enepol:v:36:y:2008:i:9:p:3588-3597. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.