IDEAS home Printed from https://ideas.repec.org/a/taf/ecsysr/v28y2016i2p243-272.html
   My bibliography  Save this article

Explaining value chain differences in MRIO databases through structural path decomposition

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09535314.2015.1135309
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    3. Erik Dietzenbacher & Bart Los, 2000. "Structural Decomposition Analyses with Dependent Determinants," Economic Systems Research, Taylor & Francis Journals, vol. 12(4), pages 497-514.
    4. Erik Dietzenbacher & Bart Los, 1998. "Structural Decomposition Techniques: Sense and Sensitivity," Economic Systems Research, Taylor & Francis Journals, vol. 10(4), pages 307-324.
    5. Oshita, Yuko, 2012. "Identifying critical supply chain paths that drive changes in CO2 emissions," Energy Economics, Elsevier, vol. 34(4), pages 1041-1050.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. de Boer, Paul, 2009. "Generalized Fisher index or Siegel-Shapley decomposition?," Energy Economics, Elsevier, vol. 31(5), pages 810-814, September.
    13. Lenzen, Manfred, 2007. "Structural path analysis of ecosystem networks," Ecological Modelling, Elsevier, vol. 200(3), pages 334-342.
    14. Wood, Richard & Lenzen, Manfred, 2009. "Structural path decomposition," Energy Economics, Elsevier, vol. 31(3), pages 335-341, May.
    15. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Liu, Lan-Cui & Cheng, Lei & Zhao, Lu-Tao & Cao, Ying & Wang, Ce, 2020. "Investigating the significant variation of coal consumption in China in 2002-2017," Energy, Elsevier, vol. 207(C).
    2. Hanaka, Tesshu & Kagawa, Shigemi & Ono, Hirotaka & Kanemoto, Keiichiro, 2017. "Finding environmentally critical transmission sectors, transactions, and paths in global supply chain networks," Energy Economics, Elsevier, vol. 68(C), pages 44-52.
    3. Owen, Anne & Scott, Kate & Barrett, John, 2018. "Identifying critical supply chains and final products: An input-output approach to exploring the energy-water-food nexus," Applied Energy, Elsevier, vol. 210(C), pages 632-642.
    4. 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.
    5. Zafrilla, Jorge-Enrique & Arce, Guadalupe & Cadarso, María-Ángeles & Córcoles, Carmen & Gómez, Nuria & López, Luis-Antonio & Monsalve, Fabio & Tobarra, María-Ángeles, 2019. "Triple bottom line analysis of the Spanish solar photovoltaic sector: A footprint assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    6. Meng, Bo & Wang, Jianguo & Andrew, Robbie & Xiao, Hao & Xue, Jinjun & Peters, Glen P., 2017. "Spatial spillover effects in determining China's regional CO2 emissions growth: 2007–2010," Energy Economics, Elsevier, vol. 63(C), pages 161-173.
    7. Pothen, Frank, 2017. "A structural decomposition of global Raw Material Consumption," Ecological Economics, Elsevier, vol. 141(C), pages 154-165.
    8. Hanspeter Wieland & Stefan Giljum & Nina Eisenmenger & Dominik Wiedenhofer & Martin Bruckner & Anke Schaffartzik & Anne Owen, 2020. "Supply versus use designs of environmental extensions in input–output analysis: Conceptual and empirical implications for the case of energy," Journal of Industrial Ecology, Yale University, vol. 24(3), pages 548-563, June.
    9. Bruno Casella & Richard Bolwijn & Daniel Moran & Keiichiro Kanemoto, . "Improving the analysis of global value chains: the UNCTAD-Eora Database," UNCTAD Transnational Corporations Journal, United Nations Conference on Trade and Development.
    10. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei & Su, Bin, 2019. "How information and communication technology drives carbon emissions: A sector-level analysis for China," Energy Economics, Elsevier, vol. 81(C), pages 380-392.
    11. Dietzenbacher, Erik & Kulionis, Viktoras & Capurro, Filippo, 2020. "Measuring the effects of energy transition: A structural decomposition analysis of the change in renewable energy use between 2000 and 2014," Applied Energy, Elsevier, vol. 258(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:ecsysr:v:28:y:2016:i:2:p:243-272. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Chris Longhurst). General contact details of provider: http://www.tandfonline.com/CESR20 .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.