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Regional Innovation in the US over Space and Time

  • Attila Varga
  • Zoltan Acs


  • Luc Anselin

Modeling the spatial aspect of growth has finally become an important subject of economics as exemplified by the increasing popularity of the new economic geography. However, new economic geography models have still not been able to develop a consistent approach to integrate innovation, space and economic growth into a coherent theoretical framework A potential reason for this is that the spatial dimension of knowledge production is still only partly understood in the empirical literature. To shed some additional light on the spatial dimension of innovation we present results of a first-cut analysis building on a recently developed cross sectional-time series data set of US innovation, private and university research and high technology employment. The novelty of this data set is that it opens up the possibilities to incorporate the time dimension into knowledge production function analysis at an appropriate level of spatial aggregation (i.e., US metropolitan areas) that has not been possible in empirical research yet.

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Paper provided by Max Planck Institute of Economics, Entrepreneurship, Growth and Public Policy Group in its series Papers on Entrepreneurship, Growth and Public Policy with number 2004-18.

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Length: 14 pages
Date of creation: Dec 2003
Date of revision:
Handle: RePEc:esi:egpdis:2004-18
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  1. Anselin, Luc & Varga, Attila & Acs, Zoltan, 1997. "Local Geographic Spillovers between University Research and High Technology Innovations," Journal of Urban Economics, Elsevier, vol. 42(3), pages 422-448, November.
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