IDEAS home Printed from https://ideas.repec.org/p/ags/pugtwp/333115.html
   My bibliography  Save this paper

Survey based versus non survey based Multi-Regional Input-Output Tables – the case of Austria

Author

Listed:
  • Rokicki, Bartlomiej
  • Fritz, Oliver
  • Horridge, Mark
  • Hewings, Geoffrey

Abstract

Spatial CGE models rely on detailed information from multiregional input-output systems. Multiregional input-output tables (IOT) are usually not available and have to be compiled. This paper compares two different approaches to compile regional IOT – algorithm based approach that mechanically regionalizes national IOT using a predefined set of regional variables and hybrid approach that uses as much regional data as possible. We aim at verifying whether a use of a given approach has a significant impact on CGE simulation results. In our case, we compile regional IOT for Austria applying ready-made Horridge algorithm and a hybrid approach. We find that aggregate simulation results are surprisingly similar. As a result, we could claim that algorithm based approach is in fact an effective way of regionalizing national IOT. However, once we compare the results at the sectoral level they start to differ significantly. This may raise serious concerns about the adequacy of certain results based on ready-made disaggregation models.

Suggested Citation

  • Rokicki, Bartlomiej & Fritz, Oliver & Horridge, Mark & Hewings, Geoffrey, 2019. "Survey based versus non survey based Multi-Regional Input-Output Tables – the case of Austria," Conference papers 333115, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    • Handle: RePEc:ags:pugtwp:333115
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/333115/files/9389.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Patrick Canning & Zhi Wang, 2005. "A Flexible Mathematical Programming Model to Estimate Interregional Input–Output Accounts," Journal of Regional Science, Wiley Blackwell, vol. 45(3), pages 539-563, August.
    3. Stanislaw Czamanski & Emil E. Malizia, 1969. "Applicability And Limitations In The Use Of National Input‐Output Tables For Regional Studies," Papers in Regional Science, Wiley Blackwell, vol. 23(1), pages 65-78, January.
    4. Sharon M. Brucker & Steven E. Hastings & William R. Latham III, 1990. "The Variation of Estimated Impacts from Five Regional Input-Output Models," International Regional Science Review, , vol. 13(1-2), pages 119-139, April.
    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)

    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. 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.
    2. Xiaoyun Zhao & Sung-Goan Choi, 2015. "On the regionalization of input–output tables with an industry-specific location quotient," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(3), pages 901-926, May.
    3. 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.
    4. Bonfiglio, A. & Camaioni, B. & Coderoni, Silvia & Esposti, Roberto & Pagliacci, F. & Sotte, F., 2015. "Distribution and re-distribution of CAP expenditure throughout the EU," 2015 Conference, August 9-14, 2015, Milan, Italy 211364, International Association of Agricultural Economists.
    5. A. Bonfiglio & B. Camaioni & S. Coderoni & R. Esposti & F. Pagliacci & F. Sotte, 2016. "Where does EU money eventually go? The distribution of CAP expenditure across the European space," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 43(4), pages 693-727, November.
    6. Kronenberg, Tobias & Többen, Johannes, 2011. "Regional input-output modelling in Germany: The case of North Rhine-Westphalia," MPRA Paper 35494, University Library of Munich, Germany.
    7. Andrea Bonfiglio & Roberto Esposti & Francesco Pagliacci & Franco Sotte & Beatrice Camaioni, 2014. "Regional Perspectives and Distributional Effects of European Regional Policies. WWWforEurope Working Paper No. 66," WIFO Studies, WIFO, number 47499, April.
    8. Oliver Krebs, 2018. "RIOTs in Germany – Constructing an interregional input-output table for Germany," Working Papers 182, Bavarian Graduate Program in Economics (BGPE).
    9. Cristian Mardones & Darling Silva, 2021. "Estimation of regional input coefficients and output multipliers for the regions of Chile," Papers in Regional Science, Wiley Blackwell, vol. 100(4), pages 875-889, August.
    10. Sunggoan Choi, 2013. "Revealing the Growth Potentials with Input-Output Model at Sub-national Level," ERSA conference papers ersa13p73, European Regional Science Association.
    11. Bonfiglio, Andrea & Esposti, Roberto, 2016. "Analysing the economy-wide impact of the supply chains activated by a new biomass power plant. The case of cardoon in Sardinia," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 5(1), pages 1-22, April.
    12. Cristian Mardones & Darling Silva, 2023. "Evaluation of Non-survey Methods for the Construction of Regional Input–Output Matrices When There is Partial Historical Information," Computational Economics, Springer;Society for Computational Economics, vol. 61(3), pages 1173-1205, March.
    13. José Daniel Buendía Azorín & Rubén Martínez Alpañez & Maria del Mar Sánchez de la Vega, 2022. "A new proposal to model regional input–output structures using location quotients. An application to Korean and Spanish regions," Papers in Regional Science, Wiley Blackwell, vol. 101(5), pages 1219-1237, October.
    14. 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.
    15. 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).
    16. Georgios Lampiris & Christos Karelakis & Efstratios Loizou, 2020. "Comparison of non-survey techniques for constructing regional input–output tables," Annals of Operations Research, Springer, vol. 294(1), pages 225-266, November.
    17. 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.
    18. Jorge Omar Razo De Anda & Luis Lorenzo Romero Castro & María Alejandra Herrera Pasillas, 2022. "Sectores económicos determinantes para el Estado de Durango. Una aplicación de la Matriz Insumo Producto Regional," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 17(1), pages 1-27, Enero - M.
    19. Szabó, Norbert, 2015. "Methods for regionalizing input-output tables," MPRA Paper 73947, University Library of Munich, Germany.
    20. 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.

    More about this item

    Keywords

    Research Methods/ Statistical Methods;

    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:ags:pugtwp:333115. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/gtpurus.html .

    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.