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Structural decomposition analysis of Australia's greenhouse gas emissions

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  • Wood, Richard
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    Abstract

    A complex system of production links our greenhouse gas emissions to our consumer demands. Whilst progress may be made in improving efficiency, other changes in the production structure may easily annul global improvements. Utilising a structural decomposition analysis, a comparative-static technique of input-output analysis, over a time period of around 30 years, net greenhouse emissions are decomposed in this study into the effects, due to changes in industrial efficiency, forward linkages, inter-industry structure, backward linkages, type of final demand, cause of final demand, population affluence, population size, and mix and level of exports. Historically, significant competing forces at both the whole of economy and industrial scale have been mitigating potential improvements. Key sectors and structural influences are identified that have historically shown the greatest potential for change, and would likely have the greatest net impact. Results clearly reinforce that the current dichotomy of growth and exports are the key problems in need of address.

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    Bibliographic Info

    Article provided by Elsevier in its journal Energy Policy.

    Volume (Year): 37 (2009)
    Issue (Month): 11 (November)
    Pages: 4943-4948

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    Handle: RePEc:eee:enepol:v:37:y:2009:i:11:p:4943-4948

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    Web page: http://www.elsevier.com/locate/enpol

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    Keywords: Australia Greenhouse gas emissions Structural decomposition analysis Input-output analysis;

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    Cited by:
    1. Liang, Sai & Zhang, Tianzhu, 2011. "What is driving CO2 emissions in a typical manufacturing center of South China? The case of Jiangsu Province," Energy Policy, Elsevier, vol. 39(11), pages 7078-7083.
    2. Choi, Ki-Hong & Ang, B.W., 2012. "Attribution of changes in Divisia real energy intensity index — An extension to index decomposition analysis," Energy Economics, Elsevier, vol. 34(1), pages 171-176.
    3. Shahiduzzaman, Md. & Alam, Khorshed, 2013. "Changes in energy efficiency in Australia: A decomposition of aggregate energy intensity using logarithmic mean Divisia approach," Energy Policy, Elsevier, vol. 56(C), pages 341-351.
    4. Wiedmann, Thomas & Wilting, Harry C. & Lenzen, Manfred & Lutter, Stephan & Palm, Viveka, 2011. "Quo Vadis MRIO? Methodological, data and institutional requirements for multi-region input-output analysis," Ecological Economics, Elsevier, vol. 70(11), pages 1937-1945, September.
    5. Michel, Bernhard, 2013. "Does offshoring contribute to reducing domestic air emissions? Evidence from Belgian manufacturing," Ecological Economics, Elsevier, vol. 95(C), pages 73-82.
    6. Wang, Yafei & Zhao, Hongyan & Li, Liying & Liu, Zhu & Liang, Sai, 2013. "Carbon dioxide emission drivers for a typical metropolis using input–output structural decomposition analysis," Energy Policy, Elsevier, vol. 58(C), pages 312-318.
    7. Zhang, Ming & Li, Huanan & Zhou, Min & Mu, Hailin, 2011. "Decomposition analysis of energy consumption in Chinese transportation sector," Applied Energy, Elsevier, vol. 88(6), pages 2279-2285, June.

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