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Structural Decomposition Analysis Applied To Energy And Emissions: Aggregation Issues

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  • Bin Su
  • B. W. Ang
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    Abstract

    With the introduction of the environmentally extended input--output (I--O) framework, traditional economic I--O modeling and analysis can be conveniently adopted in energy and emission studies. Based on such an extended framework, many empirical studies investigating the driving forces of energy consumption and emission changes using structural decomposition analysis have been reported. Three aggregation issues are inherent in such decomposition studies, namely sector aggregation, spatial aggregation and temporal aggregation. This study, as an extension of our previous work on the first two issues, focuses on the third or temporal aggregation. An empirical study using the emission data of China from 1997 to 2007 is presented to illustrate the problems involved. How to deal with temporal aggregation and its possible interactions with the other two aggregations is also discussed.

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    Bibliographic Info

    Article provided by Taylor & Francis Journals in its journal Economic Systems Research.

    Volume (Year): 24 (2012)
    Issue (Month): 3 (March)
    Pages: 299-317

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    Handle: RePEc:taf:ecsysr:v:24:y:2012:i:3:p:299-317

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    Cited by:
    1. Su, Bin & Ang, B.W. & Low, Melissa, 2013. "Input–output analysis of CO2 emissions embodied in trade and the driving forces: Processing and normal exports," Ecological Economics, Elsevier, vol. 88(C), pages 119-125.
    2. Qi, Tianyu & Winchester, Niven & Karplus, Valerie J. & Zhang, Xiliang, 2014. "Will economic restructuring in China reduce trade-embodied CO2 emissions?," Energy Economics, Elsevier, Elsevier, vol. 42(C), pages 204-212.
    3. Michael Schymura & Andreas Löschel, 2012. "Trade and the Environment: An Application of the WIOD Database," EcoMod2012 3948, EcoMod.
    4. Ming Zhang & Qing Xia & Wenwen Wang & Min Zhou, 2014. "Study on temporal and spatial evolution of China’s oil supply and consumption," Natural Hazards, International Society for the Prevention and Mitigation of Natural Hazards, International Society for the Prevention and Mitigation of Natural Hazards, vol. 72(2), pages 809-825, June.
    5. Ana-Isabel Guerra & Ferran Sancho, 2013. "A Linear Price Model With Extractions," ERSA conference papers ersa13p281, European Regional Science Association.
    6. Schymura, Michael & Voigt, Sebastian, 2014. "What drives changes in carbon emissions? An index decomposition approach for 40 countries," ZEW Discussion Papers 14-038, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    7. Ana-Isabel Guerra & Ferran Sancho, 2013. "A Linear Price Model With Extractions," EcoMod2013 5113, EcoMod.
    8. Su, Bin & Ang, B.W., 2013. "Input–output analysis of CO2 emissions embodied in trade: Competitive versus non-competitive imports," Energy Policy, Elsevier, vol. 56(C), pages 83-87.
    9. Zeng, Lin & Xu, Ming & Liang, Sai & Zeng, Siyu & Zhang, Tianzhu, 2014. "Revisiting drivers of energy intensity in China during 1997–2007: A structural decomposition analysis," Energy Policy, Elsevier, vol. 67(C), pages 640-647.
    10. Das, Aparna & Paul, Saikat Kumar, 2014. "CO2 emissions from household consumption in India between 1993–94 and 2006–07: A decomposition analysis," Energy Economics, Elsevier, Elsevier, vol. 41(C), pages 90-105.
    11. Ma, Chunbo, 2014. "A multi-fuel, multi-sector and multi-region approach to index decomposition: An application to China's energy consumption 1995–2010," Energy Economics, Elsevier, Elsevier, vol. 42(C), pages 9-16.
    12. Maaike Bouwmeester & Jan Oosterhaven, 2013. "Specification and Aggregation Errors in Environmentally Extended Input–Output Models," Environmental & Resource Economics, European Association of Environmental and Resource Economists, European Association of Environmental and Resource Economists, vol. 56(3), pages 307-335, November.

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