IDEAS home Printed from https://ideas.repec.org/a/ibn/eerjnl/v2y2012i1p229.html
   My bibliography  Save this article

Analysis on energy consumption in Shandong Province: Based on C-D Model

Author

Listed:
  • Yuan Yuan

Abstract

This paper analyzes the energy consumption of Shandong Province by the use of Complete Decomposition Model. We decompose three key factors- economic growth, structure and energy intensity, and study the impact on energy consumption results brought by changes in these variables. The corresponding effect coefficients is compared with national average level to identify the characteristics of energy consumption changes in Shandong and specific effects of every stage of each factor, providing a scientific basis for the development of energy policy making.

Suggested Citation

  • Yuan Yuan, 2012. "Analysis on energy consumption in Shandong Province: Based on C-D Model," Energy and Environment Research, Canadian Center of Science and Education, vol. 2(1), pages 229-229, June.
    • Handle: RePEc:ibn:eerjnl:v:2:y:2012:i:1:p:229
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/eer/article/download/17636/11828
    Download Restriction: no
    File URL: https://ccsenet.org/journal/index.php/eer/article/view/17636
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jenne, C. A. & Cattell, R. K., 1983. "Structural change and energy efficiency in industry," Energy Economics, Elsevier, vol. 5(2), pages 114-123, April.
    2. Hankinson, G. A. & Rhys, J. M. W., 1983. "Electricity consumption, electricity intensity and industrial structure," Energy Economics, Elsevier, vol. 5(3), pages 146-152, July.
    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. P. Fernández-González & M. Landajo & M.J. Presno, 2013. "Factors Influencing Changes In Aggregate Energy Consumption. An European Cross-Country Analysis," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 13(2), pages 18-30.
    2. Petrick, Sebastian, 2013. "Carbon efficiency, technology, and the role of innovation patterns: Evidence from German plant-level microdata," Kiel Working Papers 1833, Kiel Institute for the World Economy (IfW Kiel).
    3. 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.
    4. Fernández González, P. & Landajo, M. & Presno, M.J., 2014. "Multilevel LMDI decomposition of changes in aggregate energy consumption. A cross country analysis in the EU-27," Energy Policy, Elsevier, vol. 68(C), pages 576-584.
    5. Ang, B. W., 1995. "Multilevel decomposition of industrial energy consumption," Energy Economics, Elsevier, vol. 17(1), pages 39-51, January.
    6. Kaivo-oja, J. & Luukkanen, J. & Panula-Ontto, J. & Vehmas, J. & Chen, Y. & Mikkonen, S. & Auffermann, B., 2014. "Are structural change and modernisation leading to convergence in the CO2 economy? Decomposition analysis of China, EU and USA," Energy, Elsevier, vol. 72(C), pages 115-125.
    7. Ren, Siyu & Hao, Yu & Wu, Haitao, 2022. "The role of outward foreign direct investment (OFDI) on green total factor energy efficiency: Does institutional quality matters? Evidence from China," Resources Policy, Elsevier, vol. 76(C).
    8. 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.
    9. 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.
    10. van Groenendaal, Willem J. H., 1995. "Assessing demand when introducing a new fuel : Natural gas on Java," Energy Economics, Elsevier, vol. 17(2), pages 147-161, April.
    11. Rafael Sánchez-Durán & Joaquín Luque & Julio Barbancho, 2019. "Long-Term Demand Forecasting in a Scenario of Energy Transition," Energies, MDPI, vol. 12(16), pages 1-23, August.
    12. Maria Laura Victoria Marques & Ronaldo Seroa da Motta & Daniel de Abreu Pereira Uhr & Julia Ziero Uhr, 2024. "45 Years of Publications in Energy Economics: Evolution and Thematic Trends," Papers 2407.05974, arXiv.org.
    13. Jiang, Jingze & Marsh, Thomas L. & Tozer, Peter R., 2015. "Policy induced price volatility transmission: Linking the U.S. crude oil, corn and plastics markets," Energy Economics, Elsevier, vol. 52(PA), pages 217-227.
    14. Kim, Kyunam & Kim, Yeonbae, 2012. "International comparison of industrial CO2 emission trends and the energy efficiency paradox utilizing production-based decomposition," Energy Economics, Elsevier, vol. 34(5), pages 1724-1741.
    15. Santosh Kumar SAHU & K NARAYANAN, 2010. "Decomposition Of Industrial Energy Consumption In Indian Manufacturing The Energy Intensity Approach," Journal of Advanced Research in Management, ASERS Publishing, vol. 1(1), pages 22-38.
    16. Lars Wenzel & Andr Wolf, 2014. "Changing Patterns of Electricity Usage in European Manufacturing: A Decomposition Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 4(4), pages 516-530.
    17. Changzheng Zhu & Wenbo Du, 2019. "A Research on Driving Factors of Carbon Emissions of Road Transportation Industry in Six Asia-Pacific Countries Based on the LMDI Decomposition Method," Energies, MDPI, vol. 12(21), pages 1-19, October.
    18. 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.
    19. Pengfei Zhou & Yang Cai & Yang Shen, 2025. "Research on the Impact and Mechanism of Digital Technology on the Synergistic Governance of Pollution and Carbon Reduction," Sustainability, MDPI, vol. 17(16), pages 1-31, August.
    20. 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.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:eerjnl:v:2:y:2012:i:1:p:229. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.