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Growth, technological interdependence and spatial externalities : theory and evidence

Author

Listed:
  • Cem Ertur

    (LEO - Laboratoire d'économie d'Orleans [2008-2011] - UO - Université d'Orléans - CNRS - Centre National de la Recherche Scientifique)

  • Wilfried Koch

    (LEG - Laboratoire d'Economie et de Gestion - UB - Université de Bourgogne - CNRS - Centre National de la Recherche Scientifique)

Abstract

This paper presents a theoretical model, based on the neoclassical growth literature, which explicitly takes into account technological interdependence among economies and examines the impact of location and neighborhood effects in explaining growth. Technological interdependence is supposed working through spatial externalities. The magnitude of the physical capital externalities at steady state, which is usually not identified in the literature, is estimated using a spatial econometric specification explaining the steady state income level. This spatially augmented Solow model yields a conditional convergence equation which is characterized by parameter heterogeneity. A locally linear spatial autoregressive specification is then estimated.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Cem Ertur & Wilfried Koch, 2007. "Growth, technological interdependence and spatial externalities : theory and evidence," Post-Print halshs-00203005, HAL.
  • Handle: RePEc:hal:journl:halshs-00203005
    DOI: 10.1002/jae.963
    as

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    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity

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