IDEAS home Printed from https://ideas.repec.org/a/taf/ecsysr/v21y2009i1p81-88.html
   My bibliography  Save this article

A Multi-Objective Assessment Of Input-Output Matrix Updating Methods

Author

Listed:
  • Anders Hammer Strømman

Abstract

This paper shows that important insights can be lost when assessing the relative performance of balancing methods solely based on individual optima. This is demonstrated through a multi-objective assessment. A trade-off curve between RAS and sign-preserving absolute differences (SPAD) is obtained based on the 60×60 Norwegian 2001 input-output table. The trade-off curve takes on a form that is close to a step function. This demonstrates that the solution surface around the RAS and SPAD optimums are very flat. Solutions can be identified that improve on the other objective or measure with little or marginal cost to the original objective function. Motivation for the assessment is provided, the technique applied is presented and the implications of the findings are discussed in an input-output and industrial ecology context.

Suggested Citation

  • Anders Hammer Strømman, 2009. "A Multi-Objective Assessment Of Input-Output Matrix Updating Methods," Economic Systems Research, Taylor & Francis Journals, vol. 21(1), pages 81-88.
    • Handle: RePEc:taf:ecsysr:v:21:y:2009:i:1:p:81-88
    DOI: 10.1080/09535310902737228
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/09535310902737228
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/09535310902737228?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Randall Jackson & Alan Murray, 2004. "Alternative Input-Output Matrix Updating Formulations," Economic Systems Research, Taylor & Francis Journals, vol. 16(2), pages 135-148.
    2. Jan Oosterhaven, 2005. "GRAS versus minimizing absolute and squared differences: a comment," Economic Systems Research, Taylor & Francis Journals, vol. 17(3), pages 327-331.
    3. Wenfeng Huang & Shintaro Kobayashi & Hajime Tanji, 2008. "Updating an Input-Output Matrix with Sign-preservation: Some Improved Objective Functions and their Solutions," Economic Systems Research, Taylor & Francis Journals, vol. 20(1), pages 111-123.
    4. Manfred Lenzen & Richard Wood & Blanca Gallego, 2007. "Some Comments on the GRAS Method," Economic Systems Research, Taylor & Francis Journals, vol. 19(4), pages 461-465.
    5. Theo Junius & Jan Oosterhaven, 2003. "The Solution of Updating or Regionalizing a Matrix with both Positive and Negative Entries," Economic Systems Research, Taylor & Francis Journals, vol. 15(1), pages 87-96, March.
    6. Shinichiro Nakamura & Kenichi Nakajima & Yasushi Kondo & Tetsuya Nagasaka, 2007. "The Waste Input‐Output Approach to Materials Flow Analysis," Journal of Industrial Ecology, Yale University, vol. 11(4), pages 50-63, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Andre Lemelin, 2009. "A Gras Variant Solving For Minimum Information Loss," Economic Systems Research, Taylor & Francis Journals, vol. 21(4), pages 399-408.
    2. Tamas Revesz, 2023. "A not sign-preserving iteration algorithm for the ‘Improved Normalized Squared Differences’ matrix adjustment model," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(1), pages 49-71, March.
    3. Umed Temursho & Manuel Alejandro Cardenete & Krzysztof Wojtowicz & Luis Rey & Matthias Weitzel & Toon Vandyck & Bert Saveyn, 2020. "Projecting input-output tables for model baselines," JRC Research Reports JRC120513, Joint Research Centre.
    4. Wenfeng Huang & Shintaro Kobayashi & Hajime Tanji, 2008. "Updating an Input-Output Matrix with Sign-preservation: Some Improved Objective Functions and their Solutions," Economic Systems Research, Taylor & Francis Journals, vol. 20(1), pages 111-123.
    5. Richard Wood & Konstantin Stadler & Tatyana Bulavskaya & Stephan Lutter & Stefan Giljum & Arjan De Koning & Jeroen Kuenen & Helmut Schütz & José Acosta-Fernández & Arkaitz Usubiaga & Moana Simas & Olg, 2014. "Global Sustainability Accounting—Developing EXIOBASE for Multi-Regional Footprint Analysis," Sustainability, MDPI, vol. 7(1), pages 1-26, December.
    6. Umed Temurshoev & Marcel P. Timmer, 2011. "Joint estimation of supply and use tables," Papers in Regional Science, Wiley Blackwell, vol. 90(4), pages 863-882, November.
    7. repec:dgr:rugggd:gd-116 is not listed on IDEAS
    8. Roberto Mínguez & Jan Oosterhaven & Fernando Escobedo, 2009. "Cell‐Corrected Ras Method (Cras) For Updating Or Regionalizing An Input–Output Matrix," Journal of Regional Science, Wiley Blackwell, vol. 49(2), pages 329-348, May.
    9. Jeffrey C. Peters & Thomas W. Hertel, 2016. "Matrix balancing with unknown total costs: preserving economic relationships in the electric power sector," Economic Systems Research, Taylor & Francis Journals, vol. 28(1), pages 1-20, March.
    10. Andre Fernandes Tomon Avelino, 2017. "Disaggregating input–output tables in time: the temporal input–output framework," Economic Systems Research, Taylor & Francis Journals, vol. 29(3), pages 313-334, July.
    11. repec:dgr:rugsom:13017-gem is not listed on IDEAS
    12. Federico Riccio & Lorenzo Cresti & Maria Enrica Virgillito, 2022. "The labour share along global value chains. Perspectives and evidence from sectoral interdependence," LEM Papers Series 2022/11, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    13. Umed Temursho, 2018. "Entropy‐based benchmarking methods," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 72(4), pages 421-446, November.
    14. DUARTE, Rosa & JIMÉNEZ, Sofía & LANGARITA, Raquel & SÁNCHEZ-CHÓLIZ, Julio, 2015. "Evaluating the structural effects of a big cultural event: the case of the International Expo Zaragoza 2008," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 15(1), pages 65-80.
    15. Luis Enrique Pedauga & Aray, Henry & Velazquez, Agustín, 2016. "A Financial Social Accounting Matrix for the Spanish Economy," EcoMod2016 9490, EcoMod.
    16. Oosterhaven, J. & Bouwmeester, M.C. & Nozaki, M., 2013. "The impact of production and infrastructure shocks," Research Report 13017-GEM, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    17. Jan Oosterhaven & Michiya Nozaki, 2014. "The impact of production and infrastructure shocks to the Japanese inter-regional economy: A non-linear input-output programming approach," ERSA conference papers ersa14p163, European Regional Science Association.
    18. Richard Wood, 2011. "Construction, Stability And Predictability Of An Input-Output Time-Series For Australia," Economic Systems Research, Taylor & Francis Journals, vol. 23(2), pages 175-211.
    19. M. Alejandro Cardenete & M. Carmen Delgado & Patricia D. Fuentes & M. Carmen Lima & Alfredo J. Mainar & Jose M. Rueda-Cantuche & Sébastien Mary & Fabien Santini & Sergio Gomez y Paloma, 2015. "Rural-urban social accounting matrixes for modelling the impact of rural development policies in the EU," JRC Research Reports JRC94394, Joint Research Centre.
    20. Jakub Boratyński, 2016. "A Bayesian Approach to Matrix Balancing: Transformation of Industry-Level Data under NACE Revision," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 8(4), pages 219-239, December.
    21. Federico Riccio & Giovanni Dosi & Maria Enrica Virgillito, 2023. "Smile without a reason why: functional specialisation and income distribution along global value chains," LEM Papers Series 2023/31, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    22. Manfred Lenzen & Maria Cecilia Pinto de Moura & Arne Geschke & Keiichiro Kanemoto & Daniel Dean Moran, 2012. "A Cycling Method For Constructing Input--Output Table Time Series From Incomplete Data," Economic Systems Research, Taylor & Francis Journals, vol. 24(4), pages 413-432, February.

    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:21:y:2009:i:1:p:81-88. See general information about how to correct material in RePEc.

    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 bibliographic 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.

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

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.