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Explaining value chain differences in MRIO databases through structural path decomposition

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  • Anne Owen
  • Richard Wood
  • John Barrett
  • Andrew Evans

Abstract

Many multiregional input--output (MRIO) databases are used to calculate consumption-based accounts. Results feature in climate policy discussion on emissions reduction responsibilities; yet studies show that outcomes produced by each database differ. This paper compares the emissions associated with value chains from Eora, EXIOBASE, GTAP and WIOD. Structural path analysis identifies the largest paths in each database and the differences in common paths are calculated. For the top 100 value chain paths that contain the largest difference, structural path decomposition is used to identify the contribution each part of the value chain makes towards the difference. The results identify and quantify key flows that are the cause of difference in the databases. From these, we can conclude that key MRIO database construction decisions, such as using the residence or territorial principle for emissions allocation and whether energy spends are reallocated based on physical data, are the major causes of differences.

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  • Anne Owen & Richard Wood & John Barrett & Andrew Evans, 2016. "Explaining value chain differences in MRIO databases through structural path decomposition," Economic Systems Research, Taylor & Francis Journals, vol. 28(2), pages 243-272, June.
    • Handle: RePEc:taf:ecsysr:v:28:y:2016:i:2:p:243-272
    DOI: 10.1080/09535314.2015.1135309
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    1. Michael Sonis & Geoffrey Hewings & Sri Sulistyowati, 1997. "Block Structural Path Analysis: Applications to Structural Changes in the Indonesian Economy," Economic Systems Research, Taylor & Francis Journals, vol. 9(3), pages 265-280.
    2. Erik Dietzenbacher & Bart Los, 2000. "Structural Decomposition Analyses with Dependent Determinants," Economic Systems Research, Taylor & Francis Journals, vol. 12(4), pages 497-514.
    3. Erik Dietzenbacher & Jesper Stage, 2006. "Mixing oil and water? Using hybrid input-output tables in a Structural decomposition analysis," Economic Systems Research, Taylor & Francis Journals, vol. 18(1), pages 85-95.
    4. Lenzen, Manfred, 2003. "Environmentally important paths, linkages and key sectors in the Australian economy," Structural Change and Economic Dynamics, Elsevier, vol. 14(1), pages 1-34, March.
    5. Graham Treloar, 1997. "Extracting Embodied Energy Paths from Input-Output Tables: Towards an Input-Output-based Hybrid Energy Analysis Method," Economic Systems Research, Taylor & Francis Journals, vol. 9(4), pages 375-391.
    6. Gui, Shusen & Mu, Hailin & Li, Nan, 2014. "Analysis of impact factors on China's CO2 emissions from the view of supply chain paths," Energy, Elsevier, vol. 74(C), pages 405-416.
    7. Lenzen, Manfred, 2007. "Structural path analysis of ecosystem networks," Ecological Modelling, Elsevier, vol. 200(3), pages 334-342.
    8. M. Lenzen & D. Moran & K. Kanemoto & B. Foran & L. Lobefaro & A. Geschke, 2012. "International trade drives biodiversity threats in developing nations," Nature, Nature, vol. 486(7401), pages 109-112, June.
    9. Glen Peters & Edgar Hertwich, 2006. "Structural analysis of international trade: Environmental impacts of Norway," Economic Systems Research, Taylor & Francis Journals, vol. 18(2), pages 155-181.
    10. Defourny, Jacques & Thorbecke, Erik, 1984. "Structural Path Analysis and Multiplier Decomposition within a Social Accounting Matrix Framework," Economic Journal, Royal Economic Society, vol. 94(373), pages 111-136, March.
    11. Erik Dietzenbacher & Bart Los, 1998. "Structural Decomposition Techniques: Sense and Sensitivity," Economic Systems Research, Taylor & Francis Journals, vol. 10(4), pages 307-324.
    12. Oshita, Yuko, 2012. "Identifying critical supply chain paths that drive changes in CO2 emissions," Energy Economics, Elsevier, vol. 34(4), pages 1041-1050.
    13. Sun, J. W., 1998. "Changes in energy consumption and energy intensity: A complete decomposition model," Energy Economics, Elsevier, vol. 20(1), pages 85-100, February.
    14. Foran, Barney & Lenzen, Manfred & Dey, Christopher & Bilek, Marcela, 2005. "Integrating sustainable chain management with triple bottom line accounting," Ecological Economics, Elsevier, vol. 52(2), pages 143-157, January.
    15. 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.
    16. de Boer, Paul, 2009. "Generalized Fisher index or Siegel-Shapley decomposition?," Energy Economics, Elsevier, vol. 31(5), pages 810-814, September.
    17. Wood, Richard & Lenzen, Manfred, 2009. "Structural path decomposition," Energy Economics, Elsevier, vol. 31(3), pages 335-341, May.
    Full references (including those not matched with items on IDEAS)

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    8. Araújo, Inácio Fernandes de & Perobelli, Fernando Salgueiro & Faria, Weslem Rodrigues, 2021. "Regional and global patterns of participation in value chains: Evidence from Brazil," International Economics, Elsevier, vol. 165(C), pages 154-171.
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    19. Shaoqiang Ma & Min Fang & Xin Zhou, 2023. "China’s Embodied Copper Flow from the Demand-Side and Production-Side Perspectives," Sustainability, MDPI, vol. 15(3), pages 1-18, January.
    20. Manfred Lenzen & Arne Geschke & Muhammad Daaniyall Abd Rahman & Yanyan Xiao & Jacob Fry & Rachel Reyes & Erik Dietzenbacher & Satoshi Inomata & Keiichiro Kanemoto & Bart Los & Daniel Moran & Hagen Sch, 2017. "The Global MRIO Lab – charting the world economy," Economic Systems Research, Taylor & Francis Journals, vol. 29(2), pages 158-186, April.
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