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Using a Structural Equation Model to Analyze Potential Determinants of Spatial Variations in Endogenous Regional Growth Performance

In: Applied Regional Growth and Innovation Models

Author

Listed:
  • Patricio Aroca

    (Universidad Adolfo Ibáñez)

  • Robert Stimson

    (University of Melbourne)

  • Roger Stough

    (George Mason University)

Abstract

There have been relatively few attempts to develop operational models explicitly designed to measure endogenous regional economic performance and to identify those factors that potentially might explain spatial variations in that performance across a national space economy. This chapter does that by experimenting with structural equation modelling as an alternative to the commonly used ordinary least square (OLS) regression modelling.

Suggested Citation

  • Patricio Aroca & Robert Stimson & Roger Stough, 2014. "Using a Structural Equation Model to Analyze Potential Determinants of Spatial Variations in Endogenous Regional Growth Performance," Advances in Spatial Science, in: Karima Kourtit & Peter Nijkamp & Robert Stimson (ed.), Applied Regional Growth and Innovation Models, edition 127, chapter 0, pages 335-360, Springer.
    • Handle: RePEc:spr:adspcp:978-3-642-37819-5_14
    DOI: 10.1007/978-3-642-37819-5_14
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    Cited by:

    1. Jóna, György, 2015. "New trajectories of the Hungarian regional development: balanced and rush growth of territorial capital," MPRA Paper 73951, University Library of Munich, Germany.

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