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From the Geography of Innovation to Development Policy Analysis: The GMR–approach

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  • Attila VARGA

Abstract

Most policy evaluation models do not incorporate geography which is in contradiction with the increased interest in agglomeration effects (such as localized knowledge spillovers) in economics. This paper explains the manner how the geography of innovation literature contributes to develop models to be used for assessing regional, macro and interregional impacts of development policy interventions. The case of the paper is the GMR-Hungary model. Policy simulation results demonstrate the power of such a modeling approach.

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File URL: http://www.jstor.org/stable/27650043
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Bibliographic Info

Article provided by ENSAE in its journal Annals of Economics and Statistics.

Volume (Year): (2007)
Issue (Month): 87-88 ()
Pages: 83-101

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Handle: RePEc:adr:anecst:y:2007:i:87-88:p:05

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  1. Attila Varga, 1998. "Local academic knowledge spillovers and the concentration of economic activity," ERSA conference papers ersa98p493, European Regional Science Association.
  2. Baldwin, Richard & Forslid, Rikard, 1997. "The Core-Periphery Model and Endogenous Growth," CEPR Discussion Papers 1749, C.E.P.R. Discussion Papers.
  3. Acs, Zoltan J. & Anselin, Luc & Varga, Attila, 2002. "Patents and innovation counts as measures of regional production of new knowledge," Research Policy, Elsevier, vol. 31(7), pages 1069-1085, September.
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Cited by:
  1. Attila Varga & Péter Járosi & Tamás Sebestyén, 2011. "Modeling the growth effects of regional knowledge production: The GMR-Europe model and its applications for EU Framework Program policy impact simulations," ERSA conference papers ersa11p1426, European Regional Science Association.

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