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The regionalization of national input‐output tables: A study of South Korean regions

Author

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  • Anthony T. Flegg
  • Timo Tohmo

Abstract

This paper uses survey‐based data for 16 South Korean regions to refine the application of Flegg's location quotient (FLQ) and its variant, the sector‐specific FLQ (SFLQ). These regions vary markedly in terms of size. Especial attention is paid to the problem of choosing appropriate values for the unknown parameter δ in these formulae. Alternative approaches to this problem are evaluated and tested. Our paper adds to earlier research that aims to find a cost‐effective way of adapting national coefficients, so as to produce a satisfactory initial set of regional input coefficients for regions where survey‐based data are unavailable. Este documento utiliza datos basados en encuestas de 16 regiones de Corea del Sur para refinar la aplicación del cociente de localización de Flegg (FLQ, por sus siglas en inglés) y su variante, el FLQ específico para un sector (SFLQ, por sus siglas en inglés). Estas regiones varían notablemente en términos de tamaño. Se presta especial atención al problema de elegir valores apropiados para el parámetro desconocido δ en estas fórmulas. Se evalúan y prueban enfoques alternativos a este problema. Este artículo se suma a investigaciones anteriores con el objetivo común de encontrar una forma eficaz en función del costo de adaptar los coeficientes nacionales, a fin de producir un conjunto inicial satisfactorio de coeficientes regionales de insumos para las regiones en las que no se dispone de datos basados en encuestas. 本稿では、韓国の16の地域の調査に基づくデータを使用して、Fleggの立地係数法 (Flegg's location quotient: FLQ)とその変形である、セクター特異的なFLQ (sector‐specific FLQ:SFLQ)の応用を改良する。これらの地域は互いに規模に大きな差がある。これらの式の不明なパラメータ δ に適切な値を選択する上での問題に特に注意する。この問題への他のアプローチを評価してテストする。本研究は、調査に基づくデータのない地域でも申し分のない地域の入力係数を求めることができるよう、全国的な係数を調整する費用効果の良い方法を探索した先行研究の結果を更新する。

Suggested Citation

  • Anthony T. Flegg & Timo Tohmo, 2019. "The regionalization of national input‐output tables: A study of South Korean regions," Papers in Regional Science, Wiley Blackwell, vol. 98(2), pages 601-620, April.
  • Handle: RePEc:bla:presci:v:98:y:2019:i:2:p:601-620
    DOI: 10.1111/pirs.12364
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    Citations

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    Cited by:

    1. Oliver Krebs, 2018. "RIOTs in Germany – Constructing an interregional input-output table for Germany," Working Papers 182, Bavarian Graduate Program in Economics (BGPE).
    2. Rubén Martínez-Alpañez & José Daniel Buendía-Azorín & María del Mar Sánchez-de-la-Vega, 2023. "A New Improvement Proposal to Estimate Regional Input–Output Structure Using the 2D-LQ Approach," Economies, MDPI, vol. 11(1), pages 1-17, January.
    3. 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.
    4. 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.
    5. 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.
    6. Marek Radvanský & Ivan Lichner, 2021. "An alternative approach to the construction of multi-regional input–output tables of the Czech Republic: application of the CHARM method," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(4), pages 1083-1111, November.
    7. Anthony T. Flegg & Guiseppe R. Lamonica & Francesco M. Chelli & Maria C. Recchioni & Timo Tohmo, 2021. "A new approach to modelling the input–output structure of regional economies using non-survey methods," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 10(1), pages 1-31, December.
    8. Mattia Cai, 2021. "Doubly constrained gravity models for interregional trade estimation," Papers in Regional Science, Wiley Blackwell, vol. 100(2), pages 455-474, April.
    9. Michael L. Lahr & João Pedro Ferreira & Johannes R. Többen, 2020. "Intraregional trade shares for goods‐producing industries: RPC estimates using EU data," Papers in Regional Science, Wiley Blackwell, vol. 99(6), pages 1583-1605, December.

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