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Agglomeration, Innovation and Regional Development: Theoretical Perspectives and Meta-Analysis

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Author Info
Henri L.F. de Groot () (Vrije Universiteit Amsterdam)
Jacques Poot () (University of Waikato, Hamilton, NZ)
Martijn J. Smit () (Vrije Universiteit Amsterdam)

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Abstract

Innovation and technological change are central to the quest for regional development. In the globally-connected knowledge-driven economy, the relevance of agglomeration forces that rely on proximity continues to increase, paradoxically despite declining real costs of information, communication and transportation. Globally, the proportion of the population living in cities continues to grow and sprawling cities remain the engines of regional economic transformation. The growth of cities results from a complex chain that starts with scale, density and geography, which then combines with industrial structure characterised by its extent of specialisation, competition and diversity, to yield innovation and productivity growth that encourages employment expansion, and further urban growth through inward migration. This paper revisits the central part of this virtuous circle, namely the Marshall-Arrow-Romer externalities (specialisation), Jacobs externalities (diversity) and Porter externalities (competition) that have provided alternative explanations for innovation and urban growth. The paper evaluates the statistical robustness of evidence for such externalities presented in 31 scientific articles, all building on the seminal work of Glaeser et al. (1992). These articles yield 393 estimates of those externalities, which are characterized by their sign and statistical significance. We aim to explain variation in estimation results using study characteristics by means of ordered probit analysis. The evidence in the literature on the role of the specific externalities is rather mixed, although for each type of externality we can identify how various aspects of primary study design, such as the adopted proxy for growth, the data used, and the choice of covariates influence the outcomes.

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Publisher Info
Paper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number 07-079/3.

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Date of creation: 10 Oct 2007
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Handle: RePEc:dgr:uvatin:20070079

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Web page: http://www.tinbergen.nl/

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Related research
Keywords: innovation regional development agglomeration urban externalities meta-analysis

Find related papers by JEL classification:
C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation and Testing
O18 - Economic Development, Technological Change, and Growth - - Economic Development - - - Regional, Urban, and Rural Analyses
O31 - Economic Development, Technological Change, and Growth - - Technological Change - - - Innovation and Invention: Processes and Incentives
R11 - Urban, Rural, and Regional Economics - - General Regional Economics - - - Analysis of Growth, Development, and Changes

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  1. Charles King & Alvin J. Silk & Niels Ketelhöhn, 2003. "Knowledge Spillovers and Growth in the Disagglomeration of the Us Advertising-Agency Industry," Journal of Economics & Management Strategy, Blackwell Publishing, vol. 12(3), pages 327-362, 09. [Downloadable!] (restricted)
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    Other versions:
  3. Roland Andersson & John M. Quigley & Mats Wilhelmsson, 2005. "Agglomeration and the spatial distribution of creativity," Papers in Regional Science, Blackwell Publishing, vol. 84(3), pages 445-464, 08. [Downloadable!] (restricted)
    Other versions:
  4. Zoltan Acs & Catherine Armington, 2004. "Employment Growth and Entrepreneurial Activity in Cities," Regional Studies, Taylor and Francis Journals, vol. 38(8), pages 911-927, January. [Downloadable!] (restricted)
    Other versions:
  5. Nijkamp, Peter & Poot, Jacques, 2004. "Meta-analysis of the effect of fiscal policies on long-run growth," European Journal of Political Economy, Elsevier, vol. 20(1), pages 91-124, March. [Downloadable!] (restricted)
  6. Raymond J.G.M. Florax & Henri L.F. de Groot & Ruud A. de Mooij, 2002. "Meta-analysis: A Tool for Upgrading Inputs of Macroeconomic Policy Models," Tinbergen Institute Discussion Papers 02-041/3, Tinbergen Institute. [Downloadable!]
  7. G. M. Peter Swann & Rui Baptista, 1999. "A comparison of clustering dynamics in the US and UK computer industries," Journal of Evolutionary Economics, Springer, vol. 9(3), pages 373-399. [Downloadable!] (restricted)
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  10. Mark J. Koetse & Henri L.F. de Groot & Raymond J.G.M. Florax, 2006. "The Impact of Uncertainty on Investment: A Meta-Analysis," Tinbergen Institute Discussion Papers 06-060/3, Tinbergen Institute. [Downloadable!]
  11. Feldman, Maryann P. & Audretsch, David B., 1999. "Innovation in cities:: Science-based diversity, specialization and localized competition," European Economic Review, Elsevier, vol. 43(2), pages 409-429, February. [Downloadable!] (restricted)
    Other versions:
  12. Mody, Ashoka & Wang, Fang-Yi, 1997. "Explaining Industrial Growth in Coastal China: Economic Reforms . . . and What Else?," World Bank Economic Review, Oxford University Press, vol. 11(2), pages 293-325, May.
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