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

Listed author(s):
  • Su, Bin
  • Ang, B.W.
Registered author(s):

    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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    File URL: http://www.sciencedirect.com/science/article/pii/S0921-8009(10)00340-X
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    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
    Contact details of provider: Web page: http://www.elsevier.com/locate/ecolecon

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    1. McGregor, Peter G. & Swales, J. Kim & Turner, Karen, 2008. "The CO2 'trade balance' between Scotland and the rest of the UK: Performing a multi-region environmental input-output analysis with limited data," Ecological Economics, Elsevier, vol. 66(4), pages 662-673, July.
    2. Leontief, Wassily, 1970. "Environmental Repercussions and the Economic Structure: An Input-Output Approach," The Review of Economics and Statistics, MIT Press, vol. 52(3), pages 262-271, August.
    3. Robbie Andrew & Glen Peters & James Lennox, 2009. "Approximation And Regional Aggregation In Multi-Regional Input-Output Analysis For National Carbon Footprint Accounting," Economic Systems Research, Taylor & Francis Journals, vol. 21(3), pages 311-335.
    4. Jon R. Miller, 1998. "original: Spatial aggregation and regional economic forecasting," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 32(2), pages 253-266.
    5. Weber, Christopher L. & Peters, Glen P. & Guan, Dabo & Hubacek, Klaus, 2008. "The contribution of Chinese exports to climate change," Energy Policy, Elsevier, vol. 36(9), pages 3572-3577, September.
    6. Peters, Glen P., 2008. "From production-based to consumption-based national emission inventories," Ecological Economics, Elsevier, vol. 65(1), pages 13-23, March.
    7. Nadim Ahmad & Andrew Wyckoff, 2003. "Carbon Dioxide Emissions Embodied in International Trade of Goods," OECD Science, Technology and Industry Working Papers 2003/15, OECD Publishing.
    8. Wiedmann, Thomas, 2009. "A review of recent multi-region input-output models used for consumption-based emission and resource accounting," Ecological Economics, Elsevier, vol. 69(2), pages 211-222, December.
    9. Su, Bin & 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, Elsevier, vol. 32(1), pages 166-175, January.
    10. Wiedmann, Thomas & Lenzen, Manfred & Turner, Karen & Barrett, John, 2007. "Examining the global environmental impact of regional consumption activities -- Part 2: Review of input-output models for the assessment of environmental impacts embodied in trade," Ecological Economics, Elsevier, vol. 61(1), pages 15-26, February.
    11. R E Miller & G Shao, 1990. "Spatial and sectoral aggregation in the commodity - industry multiregional input - output model," Environment and Planning A, Pion Ltd, London, vol. 22(12), pages 1637-1656, December.
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