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La producción del conocimiento de las regiones competitivas: una aproximación basada en modelos de variables latentes

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  • Henry Caicedo-Asprilla *

Abstract

En este documento se propone una función de producción del conocimiento, con base en la medición de variables no observables, que aporta una solución práctica a los problemas metodológicos en esta área de estudio. Al respecto, se define una función de producción de conocimiento que depende del capital humano, los gastos en investigación y desarrollo, los spillovers y el entorno innovador. La función es estimada con la técnica partial least squares path modeling, la cual permite medir el efecto de variables no observables. Se logró mostrar que estos constructos (variables latentes) son confiables y significativos; además, se concluye que esta función describe acertadamente cómo se crea y explota el conocimiento en una región.

Suggested Citation

  • Henry Caicedo-Asprilla *, 2020. "La producción del conocimiento de las regiones competitivas: una aproximación basada en modelos de variables latentes," Estudios Gerenciales, Universidad Icesi, vol. 36(155), pages 177-192, June.
    • Handle: RePEc:col:000129:018336
    DOI: 10.18046/j.estger.2020.155.3257
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    More about this item

    Keywords

    función de producción de conocimiento; innovación; modelos de ecuaciones estructurales; mínimos cuadrados parciales.;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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