IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

Government control or low carbon lifestyle? – Analysis and application of a novel selective-constrained energy-saving and emission-reduction dynamic evolution system

  • Fang, Guochang
  • Tian, Lixin
  • Fu, Min
  • Sun, Mei
Registered author(s):

    This paper explores a novel selective-constrained energy-saving and emission-reduction (ESER) dynamic evolution system, analyzing the impact of cost of conserved energy (CCE), government control, low carbon lifestyle and investment in new technology of ESER on energy intensity and economic growth. Based on artificial neural network, the quantitative coefficients of the actual system are identified. Taking the real situation in China for instance, an empirical study is undertaken by adjusting the parameters of the actual system. The dynamic evolution behavior of energy intensity and economic growth in reality are observed, with the results in perfect agreement with actual situation. The research shows that the introduction of CCE into ESER system will have certain restrictive effect on energy intensity in the earlier period. However, with the further development of the actual system, carbon emissions could be better controlled and energy intensity would decline. In the long run, the impacts of CCE on economic growth are positive. Government control and low carbon lifestyle play a decisive role in controlling ESER system and declining energy intensity. But the influence of government control on economic growth should be considered at the same time and the controlling effect of low carbon lifestyle on energy intensity should be strengthened gradually, while the investment in new technology of ESER can be neglected. Two different cases of ESER are proposed after a comprehensive analysis. The relations between variables and constraint conditions in the ESER system are harmonized remarkably. A better solution to carry out ESER is put forward at last, with numerical simulations being carried out to demonstrate the results.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421514000184
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by Elsevier in its journal Energy Policy.

    Volume (Year): 68 (2014)
    Issue (Month): C ()
    Pages: 498-507

    as
    in new window

    Handle: RePEc:eee:enepol:v:68:y:2014:i:c:p:498-507
    Contact details of provider: Web page: http://www.elsevier.com/locate/enpol

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as in new window
    1. Fang, Guochang & Tian, Lixin & Fu, Min & Sun, Mei, 2013. "The impacts of carbon tax on energy intensity and economic growth – A dynamic evolution analysis on the case of China," Applied Energy, Elsevier, vol. 110(C), pages 17-28.
    2. Rezessy, Silvia & Bertoldi, Paolo, 2011. "Voluntary agreements in the field of energy efficiency and emission reduction: Review and analysis of experiences in the European Union," Energy Policy, Elsevier, vol. 39(11), pages 7121-7129.
    3. Liu, Li-qun & Liu, Chun-xia & Sun, Zhi-yi, 2011. "A survey of China's low-carbon application practice--Opportunity goes with challenge," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 2895-2903, August.
    4. Jammazi, Rania & Aloui, Chaker, 2012. "Crude oil price forecasting: Experimental evidence from wavelet decomposition and neural network modeling," Energy Economics, Elsevier, vol. 34(3), pages 828-841.
    5. Fourcroy, Charlotte & Gallouj, Faiz & Decellas, Fabrice, 2012. "Energy consumption in service industries: Challenging the myth of non-materiality," Ecological Economics, Elsevier, vol. 81(C), pages 155-164.
    6. Murat, Yetis Sazi & Ceylan, Halim, 2006. "Use of artificial neural networks for transport energy demand modeling," Energy Policy, Elsevier, vol. 34(17), pages 3165-3172, November.
    7. Streimikiene, Dalia & Volochovic, Andzej, 2011. "The impact of household behavioral changes on GHG emission reduction in Lithuania," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 4118-4124.
    8. Sun, Mei & Wang, Xiaofang & Chen, Ying & Tian, Lixin, 2011. "Energy resources demand-supply system analysis and empirical research based on non-linear approach," Energy, Elsevier, vol. 36(9), pages 5460-5465.
    9. Aghion, Philippe & David, Paul A. & Foray, Dominique, 2009. "Science, technology and innovation for economic growth: Linking policy research and practice in 'STIG Systems'," Research Policy, Elsevier, vol. 38(4), pages 681-693, May.
    10. Foxon, Timothy J., 2011. "A coevolutionary framework for analysing a transition to a sustainable low carbon economy," Ecological Economics, Elsevier, vol. 70(12), pages 2258-2267.
    11. Garg, Amit & Maheshwari, Jyoti & Mahapatra, Diptiranjan & Kumar, Satish, 2011. "Economic and environmental implications of demand-side management options," Energy Policy, Elsevier, vol. 39(6), pages 3076-3085, June.
    12. Zhang, Jianjun & Fu, Meichen & Geng, Yuhuan & Tao, Jin, 2011. "Energy saving and emission reduction: A project of coal-resource integration in Shanxi Province, China," Energy Policy, Elsevier, vol. 39(6), pages 3029-3032, June.
    13. Abdelaziz, E.A. & Saidur, R. & Mekhilef, S., 2011. "A review on energy saving strategies in industrial sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 150-168, January.
    14. Fang, Guochang & Tian, Lixin & Sun, Mei & Fu, Min, 2012. "Analysis and application of a novel three-dimensional energy-saving and emission-reduction dynamic evolution system," Energy, Elsevier, vol. 40(1), pages 291-299.
    15. Heiskanen, Eva & Johnson, Mikael & Robinson, Simon & Vadovics, Edina & Saastamoinen, Mika, 2010. "Low-carbon communities as a context for individual behavioural change," Energy Policy, Elsevier, vol. 38(12), pages 7586-7595, December.
    16. Hamit-Haggar, Mahamat, 2012. "Greenhouse gas emissions, energy consumption and economic growth: A panel cointegration analysis from Canadian industrial sector perspective," Energy Economics, Elsevier, vol. 34(1), pages 358-364.
    17. Wang, Qiang & Chen, Yong, 2010. "Energy saving and emission reduction revolutionizing China's environmental protection," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 535-539, January.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:eee:enepol:v:68:y:2014:i:c:p:498-507. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.