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On The Parameterization Of Techniques For Representing Regional Economic Structures

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  • Andrea Bonfiglio

Abstract

This paper is concerned with two parameterized methods of regionalising input-output coefficients: the Flegg et al. Location Quotient (FLQ) and its augmented version (AFLQ). For applying the two techniques, a parameter δ has to be estimated. In this regard, the paper faces two matters that are still open in the literature: the existence of a range of δ that can be used in different regions and the estimation of the most appropriate value of δ. For this aim, a Monte Carlo simulation has been carried out in order to generate 'true' multiregional I-O tables randomly. From the simulation, analyses based on probability distributions and regression were also carried out. Finally, these simulation results have been compared with those of an empirical case. Results confirm that there is actually a range of values of δ within which the best δ is more likely to fall. For the FLQ, this range is centred on 0.3 with an associated probability of 33% (if the width of the range is set at 0.1), whereas, for the AFLQ, the relevant range is between 0.3 and 0.4 with a probability by 38%. Finally, this paper provided a way to estimate the best δ for a given region, without knowing the relevant and detailed economic structure at sectoral level.

Suggested Citation

  • 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.
    • Handle: RePEc:taf:ecsysr:v:21:y:2009:i:2:p:115-127
    DOI: 10.1080/09535310902995727
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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. 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.
    4. 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).
    5. Xesús Pereira-López & Napoleón Guillermo Sánchez-Chóez & Melchor Fernández-Fernández, 2021. "Performance of bidimensional location quotients for constructing input–output tables," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 10(1), pages 1-16, December.
    6. 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.
    7. 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.
    8. Sunggoan Choi, 2013. "Revealing the Growth Potentials with Input-Output Model at Sub-national Level," ERSA conference papers ersa13p73, European Regional Science Association.
    9. 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.
    10. 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.
    11. 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.
    12. Bonfiglio, Andrea & Esposti, Roberto, 2011. "Assessing the Economic Impact of an Agricultural Project in a Petroleum-Exporting Country. The Case of Palm Oil in the Republic of Congo," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114260, European Association of Agricultural Economists.
    13. Bonfiglio, Andrea & Camaioni, Beatrice & Esposti, Roberto & Pagliacci, Francesco & Sotte, Franco, 2015. "Distributional and Re-distributional Patterns of CAP Expenditure through the EU Space," 2015 Fourth Congress, June 11-12, 2015, Ancona, Italy 207273, Italian Association of Agricultural and Applied Economics (AIEAA).
    14. 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.
    15. 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.
    16. Mattia Cai, 2021. "Doubly constrained gravity models for interregional trade estimation," Papers in Regional Science, Wiley Blackwell, vol. 100(2), pages 455-474, April.
    17. 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.
    18. 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, January.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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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