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The KFLQ revisited: estimating regional input–output tables for regions in South Korea

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  • Timo Tohmo

    (University of Jyväskylä, JSBE)

Abstract

Our study utilizes survey-based data from 17 regions in South Korea to analyze the KFLQ formula to estimate regional input–output tables. This article builds on the work of Kwon and Choi (Ann Reg Sci 72: 561–578, 2023), who proposed an interesting variant of the FLQ by letting the CILQ adjustment in the FLQ method in situations where SLQi

Suggested Citation

  • Timo Tohmo, 2025. "The KFLQ revisited: estimating regional input–output tables for regions in South Korea," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 74(1), pages 1-24, March.
    • Handle: RePEc:spr:anresc:v:74:y:2025:i:1:d:10.1007_s00168-024-01345-3
    DOI: 10.1007/s00168-024-01345-3
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    References listed on IDEAS

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    1. Anthony T. Flegg & Timo Tohmo, 2016. "Estimating Regional Input Coefficients and Multipliers: The Use of FLQ is Not a Gamble," Regional Studies, Taylor & Francis Journals, vol. 50(2), pages 310-325, February.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
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    More about this item

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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