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Input-output analysis of CO2 emissions embodied in trade: The effects of spatial aggregation

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  • Su, Bin
  • Ang, B.W.
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    Abstract

    Energy-related CO2 emissions embodied in international trade have been widely studied by researchers using the environmental input-output analysis framework. It is well known that both sector aggregation and spatial aggregation affect the results obtained in such studies. With regard to the latter, past studies are often conducted at the national level irrespective of country or economy size. For a large economy with the needed data, studies may be conducted at different levels of spatial aggregation. We examine this problem analytically by extending the work of Su et al. ([Su, B., Huang, H.C., Ang, B.W., Zhou, P., 2010. Input-output analysis of CO2 emissions embodied in trade: The effects of sector aggregation. Energy Economics 32 (1), 166-175.]) on sector aggregation. We present a numerical example using the data of China and by dividing the country into eight regions. It is found that the results are highly dependent on spatial aggregation. Our study shows that for a large country like China it is meaningful to look into the effect of spatial aggregation.

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    Bibliographic Info

    Article provided by Elsevier in its journal Ecological Economics.

    Volume (Year): 70 (2010)
    Issue (Month): 1 (November)
    Pages: 10-18

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    Handle: RePEc:eee:ecolec:v:70:y:2010:i:1:p:10-18

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

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    Keywords: Emissions embodied in trade Input-output analysis Spatial aggregation;

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    Cited by:
    1. 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.
    2. Wang, Q.W. & Zhou, P. & Shen, N. & Wang, S.S., 2013. "Measuring carbon dioxide emission performance in Chinese provinces: A parametric approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 324-330.
    3. 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.
    4. 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, vol. 41(C), pages 90-105.
    5. Su, Bin & Ang, B.W., 2012. "Structural decomposition analysis applied to energy and emissions: Some methodological developments," Energy Economics, Elsevier, vol. 34(1), pages 177-188.
    6. Ryohei Nakamura, 2013. "A New Approach to the Endogenous Correction of Interregional Income Disparity: Extended Interregional IO by Trading Biomass CO2 Credit," ERSA conference papers ersa13p367, European Regional Science Association.
    7. 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.
    8. Fujimori, Shinichiro & Matsuoka, Yuzuru, 2011. "Development of method for estimation of world industrial energy consumption and its application," Energy Economics, Elsevier, vol. 33(3), pages 461-473, May.
    9. Misato Sato, 2012. "Embodied carbon in trade: a survey of the empirical literature," Grantham Research Institute on Climate Change and the Environment Working Papers 77, Grantham Research Institute on Climate Change and the Environment.
    10. Qi, Tianyu & Winchester, Niven & Karplus, Valerie J. & Zhang, Xiliang, 2014. "Will economic restructuring in China reduce trade-embodied CO2 emissions?," Energy Economics, Elsevier, vol. 42(C), pages 204-212.
    11. Arndt, Channing & Makrelov, Konstantin & Thurlow, James, 2011. "Measuring the Carbon Content of the South African Economy," Working Paper Series UNU-WIDER Research Paper , World Institute for Development Economic Research (UNU-WIDER).

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