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Encadenamientos, Clústeres y Flujos de Trabajo en la Economía Colombiana

Author

Listed:
  • Julián VILLAMIL S
  • Gustavo HERNANDEZ

Abstract

Conocer de manera profunda las relaciones de interdependencia de la estructura económica es de gran importancia en el ejercicio de diseno de políticas económicas. Este trabajo usa el modelo insumo-producto para el análisis de impacto. Se aplican dos enfoques no usados tradicionalmente para la economía colombiana: análisis de descomposición espectral (Dietzenbacher, 1992) e identificación de clústeres (Garbellini & Wirkierman, 2014). El resultado es la construcción de indicadores de encadenamientos sin sesgo de sobrestimación o subestimación; y la identificación de clústeres de manera endógena. Adicionalmente se derivan los flujos de trabajo involucrado que se propagan a través de la red productiva. Cada uno de estos flujos se descompone en indicadores que permiten caracterizar los clústeres de acuerdo a: su cercanía con la demanda final, a su grado de cohesión con la red y a su importancia para el resto del sistema.

Suggested Citation

  • Julián VILLAMIL S & Gustavo HERNANDEZ, 2015. "Encadenamientos, Clústeres y Flujos de Trabajo en la Economía Colombiana," Archivos de Economía 12647, Departamento Nacional de Planeación.
    • Handle: RePEc:col:000118:012647
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    References listed on IDEAS

    as
    1. Mirko Titze & Matthias Brachert & Alexander Kubis, 2010. "The Identification of Industrial Clusters – Methodical Aspects in a Multidimensional Framework for Cluster Identification," IWH Discussion Papers 14, Halle Institute for Economic Research.
    2. Gustavo Hernández, 2012. "Matrices insumo-producto y análisis de multiplicadores: una aplicación a Colombia," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 14(26), pages 203-221, January-J.
    3. Titze, Mirko & Brachert, Matthias & Kubis, Alexander, 2010. "The Identification of Industrial Clusters – Methodical Aspects in a Multidimensional Framework for Cluster Identification," IWH Discussion Papers 14/2010, Halle Institute for Economic Research (IWH).
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    9. Juan C. Duque & Sergio J. Rey & Dairo A. Gómez, 2009. "Identifying industry clusters in Colombia based on graph theory," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 27(59), pages 14-45, June.
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    Cited by:

    1. Andrés Camilo ÁLVAREZ-ESPINOSA & Daniel Alejandro ORDO�EZ & Alejandro NIETO & William WILLS & German ROMERO & Silvia Liliana CALDER�N, 2015. "Compromiso de Reducción de Emisiones de Gases de Efecto Invernadero: Consecuencias económicas," Archivos de Economía 14157, Departamento Nacional de Planeación.

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    Keywords

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    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • Y - Miscellaneous Categories
    • B51 - Schools of Economic Thought and Methodology - - Current Heterodox Approaches - - - Socialist; Marxian; Sraffian

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