Advanced Search
MyIDEAS: Login to save this article or follow this journal

A class of spatial econometric methods in the empirical analysis of clusters of firms in the space

Contents:

Author Info

  • Giuseppe Arbia

    ()

  • Giuseppe Espa

    ()

  • Danny Quah

    ()

Abstract

In this paper we aim at identifying stylized facts in order to suggest adequate models of spatial co–agglomeration of industries. We describe a class of spatial statistical methods to be used in the empirical analysis of spatial clusters. Compared to previous contributions using point pattern methods, the main innovation of the present paper is to consider clustering for bivariate (rather than univariate) distributions, which allows uncovering co–agglomeration and repulsion phenomena between the different industrial sectors. Furthermore we present the results of an empirical application of such methods to a set of European Patent Office (EPO) data and we produce a series of empirical evidences referred to the the pair–wise intra–sectoral spatial distribution of patents in Italy in the nineties. In this analysis we are able to identify some distinctive joint patterns of location between patents of different sectors and to propose some possible economic interpretations.

(This abstract was borrowed from another version of this item.)

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://hdl.handle.net/10.1007/s00181-007-0154-1
Download Restriction: Access to full text is restricted to subscribers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Bibliographic Info

Article provided by Springer in its journal Empirical Economics.

Volume (Year): 34 (2008)
Issue (Month): 1 (February)
Pages: 81-103

as in new window
Handle: RePEc:spr:empeco:v:34:y:2008:i:1:p:81-103

Contact details of provider:
Postal: Stumpergasse 56, A-1060 Vienna
Phone: ++43 - (0)1 - 599 91 - 0
Fax: ++43 - (0)1 - 599 91 - 555
Web page: http://link.springer.de/link/service/journals/00181/index.htm
More information through EDIRC

Order Information:
Web: http://link.springer.de/orders.htm

Related research

Keywords: Agglomeration; Bivariate K-functions; Co-agglomeration; Spatial clusters; Spatial econometrics; C21; D92; L60; O18; R12;

Other versions of this item:

Find related papers by JEL classification:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. Ellison, Glenn & Glaeser, Edward L, 1997. "Geographic Concentration in U.S. Manufacturing Industries: A Dartboard Approach," Journal of Political Economy, University of Chicago Press, vol. 105(5), pages 889-927, October.
  2. Yannis M. Ioannides & Henry G. Overman, 2004. "Spatial evolution of the US urban system," Journal of Economic Geography, Oxford University Press, vol. 4(2), pages 131-156, April.
  3. Antonio Ciccone & Robert E. Hall, 1993. "Productivity and the Density of Economic Activity," NBER Working Papers 4313, National Bureau of Economic Research, Inc.
  4. Devereux, Michael P & Griffith, Rachel & Simpson, Helen, 2002. "The Geographical Distribution of Production Activity in the UK," CEPR Discussion Papers 3627, C.E.P.R. Discussion Papers.
  5. Jaffe, Adam B & Trajtenberg, Manuel & Henderson, Rebecca, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, MIT Press, vol. 108(3), pages 577-98, August.
  6. Stefano Breschi & Francesco Lissoni, 2001. "Knowledge spillovers and local innovation systems: a critical survey," LIUC Papers in Economics 84, Cattaneo University (LIUC).
Full references (including those not matched with items on IDEAS)

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. Gerald A. Carlino & Robert M. Hunt & Jake K. Carr & Tony E. Smith, 2012. "The agglomeration of R&D labs," Working Papers 12-22, Federal Reserve Bank of Philadelphia.
  2. Barlet, M. & Briant, A. & Crusson, L., 2013. "Location patterns of service industries in France: A distance-based approach," Regional Science and Urban Economics, Elsevier, vol. 43(2), pages 338-351.
  3. Eric Marcon & Florence Puech, 2009. "Measures of the Geographic Concentration of Industries: Improving Distance-Based Methods," Working Papers halshs-00372617, HAL.
  4. Giuseppe Espa & Giuseppe Arbia & Diego Giuliani, 2013. "Conditional versus unconditional industrial agglomeration: disentangling spatial dependence and spatial heterogeneity in the analysis of ICT firms’ distribution in Milan," Journal of Geographical Systems, Springer, vol. 15(1), pages 31-50, January.
  5. Reinhold Kosfeld & Hans-Friedrich Eckey & Jørgen Lauridsen, 2009. "Spatial Point Pattern Analysis and Industry Concentration," MAGKS Papers on Economics 200916, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
  6. Eric Marcon & Florence Puech, 2012. "A typology of distance-based measures of spatial concentration," Working Papers halshs-00679993, HAL.
  7. Hans-Friedrich Eckey & Reinhold Kosfeld & Alexander Werner, 2012. "Bivariate K functions as instruments to analyze inter-industrial concentration processes," Jahrbuch für Regionalwissenschaft, Springer, vol. 32(2), pages 133-157, September.
  8. Arbia, Giuseppe & Espa, Giuseppe & Giuliani, Diego & Mazzitelli, Andrea, 2010. "Detecting the existence of space-time clustering of firms," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 311-323, September.
  9. HAEDO, Christian & MOUCHART, Michel, 2012. "A stochastic independence approach for different measures of concentration and specialization," CORE Discussion Papers 2012025, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  10. Arbia, G. & Espa, G. & Giuliani, D. & Mazzitelli, A., 2012. "Clusters of firms in an inhomogeneous space: The high-tech industries in Milan," Economic Modelling, Elsevier, vol. 29(1), pages 3-11.
  11. José M. Albert & Marta R. Casanova & Jorge Mateu & Vicente Orts, 2013. "Distance-Based Methods: An improvement of Ripley’s K function vs. the K density function," Working Papers 2013/07, Economics Department, Universitat Jaume I, Castellón (Spain).
  12. Laura de Dominicis & Giuseppe Arbia & Henri L.F. de Groot, 2007. "The Spatial Distribution of Economic Activities in Italy," Tinbergen Institute Discussion Papers 07-094/3, Tinbergen Institute.
  13. Arnab Bhattacharjee & Taps Maiti & Dennis Petrie, 2014. "Spatial structures of health outcomes and health behaviours in Scotland: Evidence from the Scottish Health Survey," SEEC Discussion Papers 1401, Spatial Economics and Econometrics Centre, Heriot Watt University.
  14. Laura de Dominicis & Giuseppe Arbia & Henri L.F. de Groot, 2007. "The Spatial Distribution of Economic Activities in Italy," Tinbergen Institute Discussion Papers 07-094/3, Tinbergen Institute.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:spr:empeco:v:34:y:2008:i:1:p:81-103. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Guenther Eichhorn) or (Christopher F Baum).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.