IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/30797.html
   My bibliography  Save this paper

Regional input-output models and the treatment of imports in the European System of Accounts

Author

Listed:
  • Kronenberg, Tobias

Abstract

Input-output models are often used in regional science due to their versatility and their ability to capture many of the distinguishing features of a regional economy. Input-output tables are available for all EU member countries, but they are hard to find at the regional level, since many regional governments lack the resources or the will to produce reliable, survey-based regional input-output tables. Therefore, in many cases researchers adopt nonsurvey techniques to derive regional input-output tables (RIOT) on their own. The earliest applications of this type relied on the commodity balance (CB) method, and the simple location quotient (SLQ) method. Over time, numerous variations therefore have been introduced. The latest proposals have been the FLQ method (Flegg and Webber, 2000; Flegg et al., 1995) and the CHARM approach (Kronenberg, 2009). This increasing variety of methods has spawned a stream of literature comparing the relative performance of nonsurvey regionalisation methods. The present paper contributes to that literature by examining a largely neglected problem of nonsurvey techniques: the allocation of imports. In the European System of Accounts (ESA) there are two ways of allocating imports: inside the interindustry transactions matrix or outside. In the latter case, imported products are allocated to the sector that uses them (direct allocation). In the former case, they are allocated as imports in the sector that produces similar goods and as a delivery from that sector to the sector which uses them (indirect allocation). The present paper argues that the choice of a nonsurvey method should depend on the way in which imports are allocated. The argument is explained with reference to the theoretical and empirical literature. It is shown that if the nonsurvey method is not properly chosen the results of the procedure may be misleading and implausible. These findings suggest that LQ methods are better suited for regionalising input-output tables with directly allocated imports, whereas commodity-balance methods like CHARM are better suited for regionalising input-output tables with indirectly allocated imports.

Suggested Citation

  • Kronenberg, Tobias, 2011. "Regional input-output models and the treatment of imports in the European System of Accounts," MPRA Paper 30797, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:30797
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/30797/1/MPRA_paper_30797.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tobias Kronenberg, 2009. "Construction of Regional Input-Output Tables Using Nonsurvey Methods," International Regional Science Review, , vol. 32(1), pages 40-64, January.
    2. Miller,Ronald E. & Blair,Peter D., 2009. "Input-Output Analysis," Cambridge Books, Cambridge University Press, number 9780521517133.
    3. Miller,Ronald E. & Blair,Peter D., 2009. "Input-Output Analysis," Cambridge Books, Cambridge University Press, number 9780521739023.
    4. Timo Tohmo, 2004. "New Developments in the Use of Location Quotients to Estimate Regional Input-Output Coefficients and Multipliers," Regional Studies, Taylor & Francis Journals, vol. 38(1), pages 43-54.
    5. Andrea Bonfiglio & Francesco Chelli, 2008. "Assessing the Behaviour of Non-Survey Methods for Constructing Regional Input-Output Tables through a Monte Carlo Simulation," Economic Systems Research, Taylor & Francis Journals, vol. 20(3), pages 243-258.
    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. Anthony T. Flegg & Timo Tohmo, 2011. "A comment on Tobias Kronenberg's "Construction of regional input-output tables using nonsurvey methods: the role of cross-hauling"," Working Papers 20111111, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    2. Anthony T Flegg & Yongming Huang & Timo Tohmo, 2013. "Cross-hauling and regional input-output tables: the case of the province of Hubei, China," Working Papers 20131310, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    3. Anthony T. Flegg & Timo Tohmo, 2013. "Estimating regional input coefficients and multipliers: The Use of the FLQ is not a Gamble," Working Papers 20131302, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    4. Osman Aydogus & Cagacan Deger & Elif Tunali Caliskan & Gülcin Gürel, 2013. "A Regional Input-Output Model For Izmir," Working Papers 1302, Ege University, Department of Economics.
    5. Sunggoan Choi & Haemyoung Ji & Xiaoyun Zhao, 2014. "Identifying key sectors using regional input-output model at sub-national level," ERSA conference papers ersa14p995, European Regional Science Association.

    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. Tobias Kronenberg, 2012. "Regional input-output models and the treatment of imports in the European System of Accounts (ESA)," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 32(2), pages 175-191, September.
    2. Lilian Albornoz & Hilda Guerrero García Rojas & Daniel Adrián, 2014. "La vulnerabilidad de la economía yucateca ante limitaciones en la disponibilidad de agua subterránea. Un enfoque de insumo producto," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 77-104, November.
    3. Hermannsson, Kristinn & McIntyre, Stuart G., 2014. "Local consumption and territorial based accounting for CO2 emissions," Ecological Economics, Elsevier, vol. 104(C), pages 1-11.
    4. Anthony T Flegg & Yongming Huang & Timo Tohmo, 2013. "Cross-hauling and regional input-output tables: the case of the province of Hubei, China," Working Papers 20131310, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    5. Lankhuizen, Maureen & Boonstra, Harm Jan & de Blois, Chris, 2020. "Unpacking freight – Identifying conditions driving regional freight transport in statistics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 415-435.
    6. Anthony T. Flegg & Leonardo J. Mastronardi & Carlos A. Romero, 2016. "Evaluating the FLQ and AFLQ formulae for estimating regional input coefficients: empirical evidence for the province of Córdoba, Argentina," Economic Systems Research, Taylor & Francis Journals, vol. 28(1), pages 21-37, March.
    7. Anthony T. Flegg & Yongming Huang & Timo Tohmo, 2015. "Using Charm to Adjust for Cross-Hauling: The Case of the Province of Hubei, China," Economic Systems Research, Taylor & Francis Journals, vol. 27(3), pages 391-413, September.
    8. Anthony T. Flegg & Timo Tohmo, 2011. "A comment on Tobias Kronenberg's "Construction of regional input-output tables using nonsurvey methods: the role of cross-hauling"," Working Papers 20111111, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    9. Anthony T. Flegg & Timo Tohmo, 2013. "Estimating regional input coefficients and multipliers: The Use of the FLQ is not a Gamble," Working Papers 20131302, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    10. Kristinn Hermannsson, 2016. "Beyond Intermediates: The Role of Consumption and Commuting in the Construction of Local Input–Output Tables," Spatial Economic Analysis, Taylor & Francis Journals, vol. 11(3), pages 315-339, July.
    11. Anthony T. Flegg & Yongming Huang & Timo Tohmo, 2015. "Using CHARM to adjust for cross-hauling: the case of the Province of Hubei, China," Working Papers 20151506, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    12. Afonso, António & Gomes, Pedro & Taamouti, Abderrahim, 2014. "Sovereign credit ratings, market volatility, and financial gains," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 20-33.
    13. Dobrescu, Emilian, 2013. "Modelling the Sectoral Structure of the Final Output," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 59-89, October.
    14. Maurizio Ciaschini & Francesca Severini, 2010. "The Economic Impact of the Green Certificate Market through the Macro Multiplier Approach," Working Papers 2010.105, Fondazione Eni Enrico Mattei.
    15. Johann Audrain & Mateo Cordier & Sylvie Faucheux & Martin O’Connor, 2013. "Écologie territoriale et indicateurs pour un développement durable de la métropole parisienne," Revue d'économie régionale et urbaine, Armand Colin, vol. 0(3), pages 523-559.
    16. Daniel Croner and Ivan Frankovic, 2018. "A Structural Decomposition Analysis of Global and National Energy Intensity Trends," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    17. Arne J. Nagengast & Robert Stehrer, 2016. "Accounting for the Differences Between Gross and Value Added Trade Balances," The World Economy, Wiley Blackwell, vol. 39(9), pages 1276-1306, September.
    18. Lee, Frederic, 2011. "Old controversy revisited: pricing, market structure, and competition," MPRA Paper 30490, University Library of Munich, Germany.
    19. repec:ilo:ilowps:485511 is not listed on IDEAS
    20. Arne J. Nagengast & Robert Stehrer, 2016. "The Great Collapse in Value Added Trade," Review of International Economics, Wiley Blackwell, vol. 24(2), pages 392-421, May.
    21. Garry Mcdonald, 2010. "A didactic Input-Output model for territorial ecology analyses," Working Papers hal-00911640, HAL.

    More about this item

    Keywords

    Regional input-output model; nonsurvey method; location quotient; commodity balance;
    All these keywords.

    JEL classification:

    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models

    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:pra:mprapa:30797. 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: . General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.