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The agglomeration of R&D labs

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  • Gerald A. Carlino
  • Jake Carr
  • Robert M. Hunt
  • Tony E. Smith

Abstract

Superseded by Working Paper 12-22> The authors document the spatial concentration of more than 1,000 research and development (R&D) labs located in the Northeast corridor of the U.S. using point pattern methods. These methods allow systematic examination of clustering at different spatial scales. In particular, Monte Carlo tests based on Ripley's (1976) K-functions are used to identify clusters of labs — at varying spatial scales — that represent statistically significant departures from random locations reflecting the underlying distribution of economic activity (employment). Using global K-functions, they first identify significant clustering of R&D labs at two different spatial scales. This clustering is by far most significant at very small spatial scales (a quarter of a mile), with significance attenuating rapidly during the first half mile. The authors also observe statistically significant clustering at distances of about 40 miles. This corresponds roughly to the size of the four major R&D clusters identified in the second stage of their analysis — one each in Boston, New York-Northern New Jersey, Philadelphia-Wilmington, and Virginia (including the District of Columbia). In this second stage of the analysis, explicit clusters are identified by a new procedure based on local K-functions, which they designate as the multiscale core-cluster approach. This new approach yields a natural nesting of clusters at different scales. The authors' global finding of clustering at two spatial scales suggests the possibility of two distinct forms of spillovers. First, the rapid attenuation of significant clustering at small spatial scales is consistent with the view that knowledge spillovers are highly localized. Second, the scale at which larger clusters are found is roughly comparable to that of local labor markets, suggesting that such markets may be the source of additional spillovers (e.g., input sharing or labor market matching externalities).

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Bibliographic Info

Paper provided by Federal Reserve Bank of Philadelphia in its series Working Papers with number 10-33.

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Date of creation: 2010
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Handle: RePEc:fip:fedpwp:10-33

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Keywords: Research and development ; Cities and towns ; Industrial location;

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References

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  1. Gilles Duranton & Henry Overman, 2002. "Testing for Localisation Using Micro-Geographic Data," CEP Discussion Papers dp0540, Centre for Economic Performance, LSE.
  2. MORI Tomoya & Tony E. SMITH, 2013. "A Probabilistic Modeling Approach to the Detection of Industrial Agglomerations," Discussion papers 13013, Research Institute of Economy, Trade and Industry (RIETI).
  3. Glenn Ellison & Edward L. Glaeser & William Kerr, 2007. "What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns," NBER Working Papers 13068, National Bureau of Economic Research, Inc.
  4. Yasusada Murata & Ryo Nakajima & Ryosuke Okamoto & Ryuichi Tamura, 2011. "Localized knowledge spillovers and patent citations: A distance-based approach," KIER Working Papers 763, Kyoto University, Institute of Economic Research.
  5. Mohammad Arzaghi & J. Vernon Henderson, 2008. "Networking off Madison Avenue," Review of Economic Studies, Oxford University Press, vol. 75(4), pages 1011-1038.
  6. Giuseppe Arbia & Giuseppe Espa & Danny Quah, 2007. "A class of spatial econometric methods in the empirical analysis of clusters of firms in the space," Department of Economics Working Papers 0705, Department of Economics, University of Trento, Italia.
  7. Kristy Buzard & Gerald Carlino, 2009. "The geography of research and development activity in the U.S," Working Papers 09-16, Federal Reserve Bank of Philadelphia.
  8. Sergey Lychagin & Joris Pinkse & Margaret E. Slade & John Van Reenen, 2010. "Spillovers in Space: Does Geography Matter?," NBER Working Papers 16188, National Bureau of Economic Research, Inc.
  9. Giuseppe Arbia & Giuseppe Espa & Diego Giuliani & Andrea Mazzitelli, 2009. "Clusters of firms in space and time," Department of Economics Working Papers 0902, Department of Economics, University of Trento, Italia.
  10. William R. Kerr & Scott Duke Kominers, 2010. "Agglomerative Forces and Cluster Shapes," NBER Working Papers 16639, National Bureau of Economic Research, Inc.
  11. Carlino, Gerald A. & Chatterjee, Satyajit & Hunt, Robert M., 2007. "Urban density and the rate of invention," Journal of Urban Economics, Elsevier, vol. 61(3), pages 389-419, May.
  12. Colin Webb & Hélène Dernis & Dietmar Harhoff & Karin Hoisl, 2005. "Analysing European and International Patent Citations: A Set of EPO Patent Database Building Blocks," OECD Science, Technology and Industry Working Papers 2005/9, OECD Publishing.
  13. Paulo Guimar�es & Octávio Figueiredo & Douglas Woodward, 2007. "Measuring The Localization Of Economic Activity: A Parametric Approach," Journal of Regional Science, Wiley Blackwell, vol. 47(4), pages 753-774.
  14. Bronwyn H. Hall & Adam B. Jaffe & Manuel Trajtenberg, 2001. "The NBER Patent Citation Data File: Lessons, Insights and Methodological Tools," NBER Working Papers 8498, National Bureau of Economic Research, Inc.
  15. repec:bla:restud:v:75:y:2008:i:4:p:1011-1038 is not listed on IDEAS
  16. Holmes, Thomas J. & Stevens, John J., 2004. "Spatial distribution of economic activities in North America," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 63, pages 2797-2843 Elsevier.
  17. Shihe Fu, 2005. "Smart Café Cities: Testing Human Capital Externalities in the Boston Metropolitan Area," Boston College Working Papers in Economics 609, Boston College Department of Economics.
  18. Gerald Carlino & Robert Hunt, 2009. "What explains the quantity and quality of local inventive activity?," Working Papers 09-12, Federal Reserve Bank of Philadelphia.
  19. Agrawal, Ajay & Kapur, Devesh & McHale, John, 2008. "How do spatial and social proximity influence knowledge flows? Evidence from patent data," Journal of Urban Economics, Elsevier, vol. 64(2), pages 258-269, September.
  20. Dietmar Harhoff & Francis Narin & F. M. Scherer & Katrin Vopel, 1999. "Citation Frequency And The Value Of Patented Inventions," The Review of Economics and Statistics, MIT Press, vol. 81(3), pages 511-515, August.
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Cited by:
  1. David Neumark & Helen Simpson, 2014. "Place-Based Policies," NBER Working Papers 20049, National Bureau of Economic Research, Inc.
  2. Franz-Josef Bade & Eckhardt Bode & Eleonora Cutrini, 2012. "Spatial fragmentation of industries by functions," Working Papers 39-2012, Macerata University, Department of Studies on Economic Development (DiSSE), revised Feb 2012.

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