A modification of the Cross-Industry Location Quotient for Projecting Sub-Territorial Input-Output Tables

• Napoleón Guillermo Sánchez-Chóez ^[1] ; Xesús Pereira-López ^[1] ; Melchor Fernández-Fernández ^[1]
  1. [1] Universidade de Santiago de Compostela

     Universidade de Santiago de Compostela

     Santiago de Compostela, España

     
• Localización: Revista de economía mundial, ISSN 1576-0162, Nº 62, 2022, págs. 25-50
• Idioma: inglés
• DOI: 10.33776/rem.vi62.5130
• Títulos paralelos:
  • Una modificación del cociente de localización interindustrial para la proyección de las tablas input-output subterritoriales
• Enlaces
  • Texto completo
• Resumen
  • español

    La proyección de cuentas económicas a nivel sub-territorial se establece primordialmente a través de cocientes de localización (LQ). Así, los grados de especialización sectoriales a dicho nivel actuarán como piezas clave en las proyecciones espaciales. En este artículo se reivindica un uso rectificado del Cross-Industry Location Quotient (CILQ). Indirectamente, se trata de comprobar hasta qué punto los CILQ están bien explotados, dado que son la referencia fundamental en otras técnicas. A efectos de análisis, se toman como referencia las tablas input-output (IO) del Área Euro 19 para los años 2010 y 2015. Se recurre a un estadístico para medir el grado de similitud entre los marcos contables de diez países de dicha área y sus proyecciones mediante el CILQ, la fórmula de Flegg, su versión aumentada y la variante del CILQ.

  • English

    Economic accounts at sub-territorial level are projected primarily through Location Quotients (LQ). The degrees of sectoral specialisation at this level will therefore be key in spatial projections. This article advocates rectified use of the Cross-Industry Location Quotient (CILQ). Indirectly, the aim is to check to what extent CILQs are well exploited, given that they are the fundamental reference in other techniques. The input-output (IO) tables for the Euro 19 Area for 2010 and 2015 are taken as a reference for analysis purposes. A statistic is used to measure the degree of similarity between the accounting frameworks of ten countries in the Euro Area and their projections using CILQ, Flegg's formula, its augmented version, and the CILQ variant.

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