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

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  • Tobias Kronenberg

Abstract

Input-Output-Modelle sind für die Regionalwissenschaft nützlich, weil sie viele der Merkmale eines regionalen Wirtschaftsraums erfassen können. Da Input-Output-Tabellen auf regionaler Ebene schwer zu finden sind, werden häufig Nonsurvey-Verfahren angewendet, um regionale Input-Output-Tabellen (RIOT) zu erstellen. Zahlreiche Methoden sind vorgeschlagen worden. Angesichts der zunehmenden Methodenvielfalt ist eine Literatur entstanden, in der die Leistungen der unterschiedlichen Methoden miteinander verglichen werden. Das vorliegende Papier trägt zu dieser Literatur bei, indem es sich einem weitgehend vernachlässigten Problem der Nonsurvey-Verfahren widmet: der Verbuchung der Importe. Im Europäischen System Volkswirtschaftlicher Gesamtrechnungen (ESVG) gibt es zwei Möglichkeiten, die Importe zu verbuchen: innerhalb der interindustriellen Transaktionsmatrix oder außerhalb. Im letzteren Fall werden importierte Produkte dem sie verwendenden Sektor zugeordnet (direkte Zuordnung). Im ersteren Fall werden sie als Importe dem Sektor, der ähnliche Güter produziert, zugeordnet (indirekte Zuordnung). Dieser Artikel zeigt, dass die Wahl der Nonsurvey-Methode davon abhängen sollte, wie die Importe zugeordnet werden. Wenn die Nonsurvey-Methode nicht korrekt gewählt wird, kann dies zu irreführenden und implausiblen Ergebnissen führen. Der Artikel kommt zu dem Fazit, dass LQ-Methoden zur Regionalisierung von Tabellen mit direkt zugeordneten Importen geeignet sind, wohingegen Commodity-Balance-Methoden wie CHARM besser geeignet sind, um Tabellen mit indirekt zugeordneten Importen zu regionalisieren. Copyright The Author(s) 2012

Suggested Citation

  • 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.
    • Handle: RePEc:spr:jahrfr:v:32:y:2012:i:2:p:175-191
    DOI: 10.1007/s10037-012-0065-2
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    References listed on IDEAS

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    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. William A. Schaffer & Kong Chu, 1969. "Nonsurvey Techniques For Constructing Regional Interindustry Models," Papers in Regional Science, Wiley Blackwell, vol. 23(1), pages 83-104, January.
    3. Miller,Ronald E. & Blair,Peter D., 2009. "Input-Output Analysis," Cambridge Books, Cambridge University Press, number 9780521517133.
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    5. 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.
    6. Anthony Flegg & Timo Tohmo, 2011. "Regional Input-Output Tables and the FLQ Formula: A Case Study of Finland," ERSA conference papers ersa11p334, European Regional Science Association.
    7. A. T. Flegg & C. D. Webber, 1997. "On the Appropriate Use of Location Quotients in Generating Regional Input-Output Tables: Reply," Regional Studies, Taylor & Francis Journals, vol. 31(8), pages 795-805.
    8. A. T. Flegg & C. D. Webber, 2000. "Regional Size, Regional Specialization and the FLQ Formula," Regional Studies, Taylor & Francis Journals, vol. 34(6), pages 563-569.
    9. Tobias Kronenberg, 2010. "Erstellung einer Input-Output-Tabelle für Mecklenburg-Vorpommern," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 4(3), pages 223-248, September.
    10. 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.
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    Cited by:

    1. Johannes Többen & Tobias Heinrich Kronenberg, 2015. "Construction Of Multi-Regional Input--Output Tables Using The Charm Method," Economic Systems Research, Taylor & Francis Journals, vol. 27(4), pages 487-507, December.
    2. 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.
    3. Yu. Yu. Ponomarev & D. Yu. Evdokimov, 2021. "Construction of Truncated Input–Output Tables for Russian Regions Using Location Quotients," Studies on Russian Economic Development, Springer, vol. 32(6), pages 619-630, November.
    4. 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.
    5. 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.
    6. Montserrat Lopez-Cobo, 2016. "Regionalisation of Social Accounting Matrices for the EU-28 in 2010. A regional database for RHOMOLO at NUTS 2 level," JRC Research Reports JRC104029, Joint Research Centre.
    7. 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.
    8. 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.
    9. Schwärzler, Marion Cornelia & Kronenberg, Tobias, 2017. "Methodology of the Multiregional Health Account for Germany - An Iterative Algorithm-Based Multiregionalization Approach of Supply and Use Tables with Emphasis on Health," MPRA Paper 80712, University Library of Munich, Germany.
    10. Tony Flegg & Leonardo J. Mastronardi & Carlos A. Romero, 2015. "Evaluating the FLQ and AFLQ formulae for estimating regional input coefficients: empirical evidence for the province of C¨®rdoba, Argentina," Working Papers 20151508, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    11. Anthony T. Flegg & Leonardo J. Mastronardi & Carlos A. Romero, 2014. "Empirical evidence on the use of the FLQ formula for regionalizing national input-output tables: The case of the Province of C¨®rdoba, Argentina," Working Papers 20141406, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.

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    More about this item

    Keywords

    Regional input-output model; Nonsurvey method; Location quotient; Commodity balance; C67; R15;
    All these keywords.

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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