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Regionalization of national input-output tables: Empirical evidence on the use of the FLQ formula

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  • Kowalewski, Julia

Abstract

This paper contributes to the ongoing debate about deriving the value of the exponent when using Flegg's location quotient (FLQ) formula which helps to simulate regional input-output tables. Using a survey-based regional input-output table, the empirical analysis provides evidence of an optimal for the German Federal of State Baden-Wuerttemberg. Furthermore, an extended formula (SFLQ) is introduced allowing for variation in by industry. Finally, this paper demonstrates the advantage of the SFLQ and finds evidence for a close relationship between the spatial concentration of an industry at the national level and its propensity to import goods and services from other regions.

Suggested Citation

  • Kowalewski, Julia, 2012. "Regionalization of national input-output tables: Empirical evidence on the use of the FLQ formula," HWWI Research Papers 126, Hamburg Institute of International Economics (HWWI).
  • Handle: RePEc:zbw:hwwirp:126
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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. Andrea Bonfiglio, 2009. "On The Parameterization Of Techniques For Representing Regional Economic Structures," Economic Systems Research, Taylor & Francis Journals, vol. 21(2), pages 115-127.
    3. F J Harrigan & J W McGilvray & I H McNicoll, 1980. "Simulating the structure of a regional economy," Environment and Planning A, Pion Ltd, London, vol. 12(8), pages 927-936, August.
    4. 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.
    5. 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.
    6. F J Harrigan & J W McGilvray & I H McNicoll, 1980. "Simulating the Structure of a Regional Economy," Environment and Planning A, , vol. 12(8), pages 927-936, August.
    7. Steven Brand & Stephen Hill & Max Munday, 2000. "Assessing the Impacts of Foreign Manufacturing on Regional Economies: The Cases of Wales, Scotland and the West Midlands," Regional Studies, Taylor & Francis Journals, vol. 34(4), pages 343-355.
    8. Philip Mccann & John H. LL. Dewhurst, 1998. "Regional Size, Industrial Location and Input-Output Expenditure Coefficients," Regional Studies, Taylor & Francis Journals, vol. 32(5), pages 435-444.
    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.
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    Citations

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    Cited by:

    1. Kowalewski, Julia, 2012. "Inter-industrial relations and sectoral employment development in German regions," HWWI Research Papers 127, Hamburg Institute of International Economics (HWWI).
    2. 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.
    3. Hohenleitner, Ingrid & Hillmann, Katja, 2012. "Impact of Benefit Sanctions on Unemployment Outflow - Evidence from German Survey Data," Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 66055, Verein für Socialpolitik / German Economic Association.
    4. Kowalewski Julia, 2013. "Inter-industrial Relations and Sectoral Employment Development in German Regions," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 233(4), pages 486-504, August.
    5. Szabó, Norbert, 2015. "Methods for regionalizing input-output tables," MPRA Paper 73947, University Library of Munich, Germany.
    6. Julian S. Leppin & Stefan Reitz, 2016. "The Role of a Changing Market Environment for Credit Default Swap Pricing," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 21(3), pages 209-223, July.
    7. Jahn, Malte, 2014. "A spatial computable general equilibrium model for the analysis of regional climate change impacts and adaptation policies," HWWI Research Papers 154, Hamburg Institute of International Economics (HWWI).
    8. Bräuninger, Michael, 2014. "Tax sovereignty and feasibility of international regulations for tobacco tax policies," HWWI Research Papers 152, Hamburg Institute of International Economics (HWWI).
    9. Jahn, Malte, 2015. "A location quotient-based interregional input-output (IRIOLQ) framework," HWWI Research Papers 161, Hamburg Institute of International Economics (HWWI).
    10. 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.
    11. Kowalewski, Julia & Teuber, Mark-Oliver, 2013. "Die Bedeutung des industriellen Sektors in der Freien und Hansestadt Hamburg," HWWI Policy Reports 19, Hamburg Institute of International Economics (HWWI).
    12. Vöpel, Henning, 2013. "A Zidane clustering theorem: Why top players tend to play in one team and how the competitive balance can be restored," HWWI Research Papers 141, Hamburg Institute of International Economics (HWWI).
    13. 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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    Keywords

    regional input-output table; non-survey method; empirical analysis;

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