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Evaluating the FLQ and AFLQ formulae for estimating regional input coefficients: empirical evidence for the province of Córdoba, Argentina

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  • Anthony T. Flegg
  • Leonardo J. Mastronardi
  • Carlos A. Romero

Abstract

This paper uses survey-based data of the Argentinian province of Córdoba to conduct an empirical test of the performance of the Flegg's location quotient (FLQ) and augmented FLQ (AFLQ) formulae for estimating regional input coefficients. A comparison is made with conventional methods based on location quotients. The possibility of using prior information about the extent of self-sufficiency of particular sectors is explored. The empirical work employs a range of statistical criteria with contrasting properties, and examines performance in terms of each method's ability to estimate regional input coefficients, output multipliers and imports. Particular attention is paid to the problem of choosing a value for the unknown parameter δ in the FLQ and AFLQ formulae. These formulae are found to give the best overall results of the non-survey methods considered in the paper. However, the AFLQ typically produces slightly more accurate results than the FLQ, in line with the findings of previous studies.

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  • 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.
    • Handle: RePEc:taf:ecsysr:v:28:y:2016:i:1:p:21-37
    DOI: 10.1080/09535314.2015.1103703
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    References listed on IDEAS

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    2. Amaral Haddad, Eduardo & Fernandes de Araújo, Inácio & Ibarraran, María Eugenia & Boyd, Roy & Elizondo, Alejandra & Liedo-Orozco, Pedro & Menchero-Garcia, Mariana & Belausteguigoitia, Juan Carlos, 2019. "Interregional Input-Output System for Mexico, 2013," TD NEREUS 7-2019, Núcleo de Economia Regional e Urbana da Universidade de São Paulo (NEREUS).
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    4. Lorenzo Perrotta, 2020. "Impacto Regional del Desarrollo de Bioenergía (Biomasa) en Argentina. Un análisis Insumo-Producto para la provincia de Misiones," Asociación Argentina de Economía Política: Working Papers 4388, Asociación Argentina de Economía Política.
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    7. Piotr Jurga & Efstratios Loizou & Stelios Rozakis, 2021. "Comparing Bioeconomy Potential at National vs. Regional Level Employing Input-Output Modeling," Energies, MDPI, vol. 14(6), pages 1-17, March.
    8. 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.
    9. 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.
    10. 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.
    11. Hongli Zhang & Lei Shen & Shuai Zhong & Ayman Elshkaki, 2020. "Economic Structure Transformation and Low-Carbon Development in Energy-Rich Cities: The Case of the Contiguous Area of Shanxi and Shaanxi Provinces, and Inner Mongolia Autonomous Region of China," Sustainability, MDPI, vol. 12(5), pages 1-14, March.
    12. 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.
    13. Malte Jahn & Anthony Flegg & Timo Tohmo, 2018. "A new approach to estimating interregional output multipliers using input-output data for South Korean regions," Working Papers 20181805, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    14. 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.
    15. 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.
    16. 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.

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