IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v25y2000i7p609-638.html

The use of physical indicators for the monitoring of energy intensity developments in the Netherlands, 1980–1995

Author

Listed:
  • Farla, Jacco C.M
  • Blok, Kornelis

Abstract

Decreasing the energy intensity of processes and activities is an important means by which to reduce energy-related carbon dioxide emissions in the near future. Monitoring of the developments in energy intensity is necessary in order to check whether policies to decrease energy intensity have the desired effect. Value-based indicators have been used in many such monitoring studies. It has been suggested only recently that physical indicators might lead to a better understanding of energy intensity developments. In this paper we aim at developing meaningful physical energy intensity indicators for all sectors of the Dutch economy and to study the sectoral energy intensity developments for the period 1980–1995 by means of these indicators. It turned out to be possible to develop aggregate activity indicators on a physical basis for most of the subsectors. Physical and value-based energy intensity indicators yielded substantial differences in the energy intensity developments calculated. On average, the annual decrease in energy intensity for the period 1980–1995 was 1.4%, calculated on the basis of physical energy intensity indicators, and 1.6% on the basis of economic indicators. The methodology based on physical indicators turned out to be suitable for monitoring energy intensity developments. However, more data are required and thorough analysis of the energy consumption per subsector is necessary to improve this type of analysis based on physical activity indicators.

Suggested Citation

  • Farla, Jacco C.M & Blok, Kornelis, 2000. "The use of physical indicators for the monitoring of energy intensity developments in the Netherlands, 1980–1995," Energy, Elsevier, vol. 25(7), pages 609-638.
    • Handle: RePEc:eee:energy:v:25:y:2000:i:7:p:609-638
    DOI: 10.1016/S0360-5442(00)00006-2
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544200000062
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/S0360-5442(00)00006-2?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Freeman, Scott L. & Niefer, Mark J. & Roop, Joseph M., 1997. "Measuring industrial energy intensity: practical issues and problems," Energy Policy, Elsevier, vol. 25(7-9), pages 703-714.
    2. Worrell, E. & Blok, K., 1994. "Energy savings in the nitrogen fertilizer industry in the Netherlands," Energy, Elsevier, vol. 19(2), pages 195-209.
    3. Jenne, C. A. & Cattell, R. K., 1983. "Structural change and energy efficiency in industry," Energy Economics, Elsevier, vol. 5(2), pages 114-123, April.
    4. repec:aen:journl:1987v08-02-a06 is not listed on IDEAS
    5. Worrell, Ernst & Price, Lynn & Martin, Nathan & Farla, Jacco & Schaeffer, Roberto, 1997. "Energy intensity in the iron and steel industry: a comparison of physical and economic indicators," Energy Policy, Elsevier, vol. 25(7-9), pages 727-744.
    6. Golove, William H. & Schipper, Lee J., 1996. "Long-term trends in U.S. manufacturing energy consumption and carbon dioxide emissions," Energy, Elsevier, vol. 21(7), pages 683-692.
    7. Wilson, Bruce & Trieu, Luan Ho & Bowen, Bruce, 1994. "Energy efficiency trends in Australia," Energy Policy, Elsevier, vol. 22(4), pages 287-295, April.
    8. Howarth, Richard B. & Schipper, Lee & Duerr, Peter A. & Strøm, Steinar, 1991. "Manufacturing energy use in eight OECD countries : Decomposing the impacts of changes in output, industry structure and energy intensity," Energy Economics, Elsevier, vol. 13(2), pages 135-142, April.
    9. Zarnikau, Jay & Guermouche, Sid & Schmidt, Philip, 1996. "Can different energy resources be added or compared?," Energy, Elsevier, vol. 21(6), pages 483-491.
    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. 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.
    2. Hammond, G.P. & Norman, J.B., 2012. "Decomposition analysis of energy-related carbon emissions from UK manufacturing," Energy, Elsevier, vol. 41(1), pages 220-227.
    3. Farla, Jacco & Cuelenaere11, Rob & Blok, Kornelis, 1998. "Energy efficiency and structural change in the Netherlands, 1980-1990," Energy Economics, Elsevier, vol. 20(1), pages 1-28, February.
    4. Li, Ming-Jia & Tao, Wen-Quan, 2017. "Review of methodologies and polices for evaluation of energy efficiency in high energy-consuming industry," Applied Energy, Elsevier, vol. 187(C), pages 203-215.
    5. Diakoulaki, D. & Mavrotas, G. & Orkopoulos, D. & Papayannakis, L., 2006. "A bottom-up decomposition analysis of energy-related CO2 emissions in Greece," Energy, Elsevier, vol. 31(14), pages 2638-2651.
    6. Norman, Jonathan B., 2017. "Measuring improvements in industrial energy efficiency: A decomposition analysis applied to the UK," Energy, Elsevier, vol. 137(C), pages 1144-1151.
    7. Liu, Na & Ang, B.W., 2007. "Factors shaping aggregate energy intensity trend for industry: Energy intensity versus product mix," Energy Economics, Elsevier, vol. 29(4), pages 609-635, July.
    8. Azadeh, A. & Amalnick, M.S. & Ghaderi, S.F. & Asadzadeh, S.M., 2007. "An integrated DEA PCA numerical taxonomy approach for energy efficiency assessment and consumption optimization in energy intensive manufacturing sectors," Energy Policy, Elsevier, vol. 35(7), pages 3792-3806, July.
    9. Farla, Jacco C. M. & Blok, Kornelis, 2001. "The quality of energy intensity indicators for international comparison in the iron and steel industry," Energy Policy, Elsevier, vol. 29(7), pages 523-543, June.
    10. Ramirez, C.A. & Blok, K. & Neelis, M. & Patel, M., 2006. "Adding apples and oranges: The monitoring of energy efficiency in the Dutch food industry," Energy Policy, Elsevier, vol. 34(14), pages 1720-1735, September.
    11. Lynn Price & Laurie Michaelis & Ernst Worrell & Marta Khrushch, 1998. "Sectoral Trends and Driving Forces of Global Energy Use and Greenhouse Gas Emissions," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 3(2), pages 263-319, December.
    12. Qu, Chenyao & Shao, Jun & Shi, Zhenkai, 2020. "Does financial agglomeration promote the increase of energy efficiency in China?," Energy Policy, Elsevier, vol. 146(C).
    13. Fang, Chin-Yi & Hu, Jin-Li & Lou, Tze-Kai, 2013. "Environment-adjusted total-factor energy efficiency of Taiwan's service sectors," Energy Policy, Elsevier, vol. 63(C), pages 1160-1168.
    14. Persson, Tobias A. & Colpier, Ulrika Claeson & Azar, Christian, 2007. "Adoption of carbon dioxide efficient technologies and practices: An analysis of sector-specific convergence trends among 12 nations," Energy Policy, Elsevier, vol. 35(5), pages 2869-2878, May.
    15. Yeonbae Kim & Ernst Worrell, 2002. "CO 2 Emission Trends in the Cement Industry: An International Comparison," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 7(2), pages 115-133, June.
    16. Khademvatani, Asgar & Gordon, Daniel V., 2013. "A marginal measure of energy efficiency: The shadow value," Energy Economics, Elsevier, vol. 38(C), pages 153-159.
    17. Liu, Yazhou & Bian, Jiacong & Li, Xiangmei & Liu, Shuyi & Lageson, David & Yin, Yingkai, 2020. "The optimization of regional industrial structure under the water-energy constraint: A case study on Hebei Province in China," Energy Policy, Elsevier, vol. 143(C).
    18. Neelis, Maarten & Ramirez-Ramirez, Andrea & Patel, Martin & Farla, Jacco & Boonekamp, Piet & Blok, Kornelis, 2007. "Energy efficiency developments in the Dutch energy-intensive manufacturing industry, 1980-2003," Energy Policy, Elsevier, vol. 35(12), pages 6112-6131, December.
    19. Huang, Hui-Fen & Lo, Shang-Lien, 2011. "Review and classify the GHGs-related indicators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 594-602, January.
    20. Ang, B. W., 1995. "Multilevel decomposition of industrial energy consumption," Energy Economics, Elsevier, vol. 17(1), pages 39-51, January.

    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:energy:v:25:y:2000:i:7:p:609-638. 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.journals.elsevier.com/energy .

    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.