IDEAS home Printed from https://ideas.repec.org/a/sae/enejou/v22y2001i2p107-126.html
   My bibliography  Save this article

The Determinants of Sulfur Emissions from Oil Consumption in Swedish Manufacturing Industry, 1976-1995

Author

Listed:
  • Henrik Hammar
  • Ã…sa Löfgren

Abstract

Using a structural decomposition analysis, we analyze the causes of a reduction in sulfur emissions originating from oil consumption in the manufacturing industry in Sweden during 1976-1995. The Swedish case is of interest since Sweden has pursued an ambitious policy to combat the precursors of acid rain. Between 1989 and 1995, about 59 percent of the reduction in sulfur emissions from manufacturing can be attributed to the announcement and implementation of a Swedish sulfur tax. Two thirds of the reduction during 19761995 is captured by substitution between oil and other energy sources. The price of electricity also has had a significant effect via substitution between oil and electricity. Furthermore, one third of the reduction during 1976-1995 is explained by decreased energy intensity.

Suggested Citation

  • Henrik Hammar & Ã…sa Löfgren, 2001. "The Determinants of Sulfur Emissions from Oil Consumption in Swedish Manufacturing Industry, 1976-1995," The Energy Journal, , vol. 22(2), pages 107-126, April.
  • Handle: RePEc:sae:enejou:v:22:y:2001:i:2:p:107-126
    DOI: 10.5547/ISSN0195-6574-EJ-Vol22-No2-5
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.5547/ISSN0195-6574-EJ-Vol22-No2-5
    Download Restriction: no

    File URL: https://libkey.io/10.5547/ISSN0195-6574-EJ-Vol22-No2-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Sue J. Lin & Tzu C. Chang, 1996. "Decomposition of SO2, NO1 and CO2 Emissions from Energy Use of Major Economic Sectors in Taiwan," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 1-17.
    Full references (including those not matched with items on IDEAS)

    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. Lu, I.J. & Lin, Sue J. & Lewis, Charles, 2007. "Decomposition and decoupling effects of carbon dioxide emission from highway transportation in Taiwan, Germany, Japan and South Korea," Energy Policy, Elsevier, vol. 35(6), pages 3226-3235, June.
    2. Abu Bakar, Nur Najihah & Hassan, Mohammad Yusri & Abdullah, Hayati & Rahman, Hasimah Abdul & Abdullah, Md Pauzi & Hussin, Faridah & Bandi, Masilah, 2015. "Energy efficiency index as an indicator for measuring building energy performance: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 1-11.
    3. Pasurka, Carl Jr., 2006. "Decomposing electric power plant emissions within a joint production framework," Energy Economics, Elsevier, vol. 28(1), pages 26-43, January.
    4. Vaninsky, Alexander, 2014. "Factorial decomposition of CO2 emissions: A generalized Divisia index approach," Energy Economics, Elsevier, vol. 45(C), pages 389-400.
    5. Nag, Barnali & Parikh, Jyoti K., 2005. "Carbon emission coefficient of power consumption in India: baseline determination from the demand side," Energy Policy, Elsevier, vol. 33(6), pages 777-786, April.
    6. Nag, Barnali & Parikh, Jyoti, 2000. "Indicators of carbon emission intensity from commercial energy use in India," Energy Economics, Elsevier, vol. 22(4), pages 441-461, August.
    7. 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.
    8. Åsa Löfgren & Adrian Muller, 2010. "Swedish CO 2 Emissions 1993–2006: An Application of Decomposition Analysis and Some Methodological Insights," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 47(2), pages 221-239, October.
    9. Lin, Sue J. & Lu, I.J. & Lewis, Charles, 2006. "Identifying key factors and strategies for reducing industrial CO2 emissions from a non-Kyoto protocol member's (Taiwan) perspective," Energy Policy, Elsevier, vol. 34(13), pages 1499-1507, September.
    10. Ang, B. W., 1999. "Is the energy intensity a less useful indicator than the carbon factor in the study of climate change?," Energy Policy, Elsevier, vol. 27(15), pages 943-946, December.
    11. Binay Kumar Ray & B.Sudhakara Reddy, 2007. "Decomposition of Energy Consumption and Energy Intensity in Indian Manufacturing Industries," Energy Working Papers 22327, East Asian Bureau of Economic Research.
    12. Peter Olabisi Oluseyi & Tobiloba Emmanuel Somefun & Olubayo Moses Babatunde & Tolulope Olusegun Akinbulire & Oluleke O. Babayomi & Samuel A. Isaac & Damilola Elizabeth Babatunde, 2020. "Evaluation of Energy-efficiency in Lighting Systems for Public Buildings," International Journal of Energy Economics and Policy, Econjournals, vol. 10(6), pages 435-439.
    13. Xu, X.Y. & Ang, B.W., 2013. "Index decomposition analysis applied to CO2 emission studies," Ecological Economics, Elsevier, vol. 93(C), pages 313-329.
    14. Kenichi Shimamoto, 2017. "Decomposition analysis of the pollution intensities in the case of the United Kingdom," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1316553-131, January.
    15. Matthew A. Cole & Robert J.R. Elliott & Kenichi Shimamoto, 2005. "A Note on Trends in European Industrial Pollution Intensities: A Divisia Index Approach," The Energy Journal, , vol. 26(3), pages 61-73, July.
    16. Laurent Viguier, 1999. "Emissions of SO2, NOx, and CO2, in Transition Economies: Emission Inventories and Divisia Index Analysis," The Energy Journal, , vol. 20(2), pages 59-87, April.
    17. Donglan, Zha & Dequn, Zhou & Peng, Zhou, 2010. "Driving forces of residential CO2 emissions in urban and rural China: An index decomposition analysis," Energy Policy, Elsevier, vol. 38(7), pages 3377-3383, July.
    18. Manel Daldoul & Ahlem Dakhlaoui, 2018. "Using the LMDI Decomposition Approach to Analyze the Influencing Factors of Carbon Emissions in Tunisian Transportation Sector," International Journal of Energy Economics and Policy, Econjournals, vol. 8(6), pages 22-28.
    19. Ang, B. W. & Pandiyan, G., 1997. "Decomposition of energy-induced CO2 emissions in manufacturing," Energy Economics, Elsevier, vol. 19(3), pages 363-374, July.
    20. Mukhopadhyay, Kakali & Forssell, Osmo, 2005. "An empirical investigation of air pollution from fossil fuel combustion and its impact on health in India during 1973-1974 to 1996-1997," Ecological Economics, Elsevier, vol. 55(2), pages 235-250, November.

    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:sae:enejou:v:22:y:2001:i:2:p:107-126. 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: SAGE Publications (email available below). General contact details of provider: .

    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.