IDEAS home Printed from
   My bibliography  Save this article

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


  • Giuseppe Arbia


  • Giuseppe Espa


  • Danny Quah



No abstract is available for this item.

Suggested Citation

  • Giuseppe Arbia & Giuseppe Espa & Danny Quah, 2008. "A class of spatial econometric methods in the empirical analysis of clusters of firms in the space," Empirical Economics, Springer, vol. 34(1), pages 81-103, February.
  • Handle: RePEc:spr:empeco:v:34:y:2008:i:1:p:81-103 DOI: 10.1007/s00181-007-0154-1

    Download full text from publisher

    File URL:
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    1. 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.
    2. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, Oxford University Press, vol. 108(3), pages 577-598.
    3. Devereux, Michael P. & Griffith, Rachel & Simpson, Helen, 2004. "The geographic distribution of production activity in the UK," Regional Science and Urban Economics, Elsevier, vol. 34(5), pages 533-564, September.
    4. Breschi, Stefano & Lissoni, Francesco, 2001. "Knowledge Spillovers and Local Innovation Systems: A Critical Survey," Industrial and Corporate Change, Oxford University Press, vol. 10(4), pages 975-1005, December.
    5. Ciccone, Antonio & Hall, Robert E, 1996. "Productivity and the Density of Economic Activity," American Economic Review, American Economic Association, vol. 86(1), pages 54-70, March.
    6. 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.
    Full references (including those not matched with items on IDEAS)


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

    Cited by:

    1. Buzard, Kristy & Carlino, Gerald A. & Hunt, Robert M. & Carr, Jake & Smith, Tony E., 2015. "Localized Knowledge Spillovers: Evidence from the Agglomeration of American R&D Labs and Patent Data," Working Papers 15-3, Federal Reserve Bank of Philadelphia.
    2. 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.
    3. 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.
    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. Giuseppe Arbia & Patrizia Cella & Giuseppe Espa & Diego Giuliani, 2015. "A micro spatial analysis of firm demography: the case of food stores in the area of Trento (Italy)," Empirical Economics, Springer, vol. 48(3), pages 923-937, May.
    6. 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).
    7. Carlino, Gerald A. & Carr, Jake & Hunt, Robert M. & Smith, Tony E., 2010. "The agglomeration of R&D labs," Working Papers 10-33, Federal Reserve Bank of Philadelphia.
    8. 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.
    9. 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.
    10. 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).
    11. Eric Marcon & Florence Puech, 2009. "Measures of the Geographic Concentration of Industries: Improving Distance-Based Methods," Working Papers halshs-00372617, HAL.
    12. Eric Marcon & Florence Puech, 2012. "A typology of distance-based measures of spatial concentration," Working Papers halshs-00679993, HAL.
    13. repec:eee:juecon:v:101:y:2017:i:c:p:14-26 is not listed on IDEAS
    14. Juan Tomas Sayago-Gomez & Adam Nowak, 2016. "What is Near and Recent in Crime for a Homeowner? The Cases of Denver and Seattle," Working Papers Working Paper 2016-01, Regional Research Institute, West Virginia University.
    15. Reinhold Kosfeld & Hans-Friedrich Eckey & Jørgen Lauridsen, 2011. "Spatial point pattern analysis and industry concentration," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 47(2), pages 311-328, October.
    16. Marcon, Eric & Puech, Florence, 2017. "A typology of distance-based measures of spatial concentration," Regional Science and Urban Economics, Elsevier, vol. 62(C), pages 56-67.
    17. Gabriel Lang & Eric Marcon & Florence Puech, 2016. "Distance-Based Measures Of Spatial Concentration: Introducing A Relative Density Function," Working Papers hal-01082178, HAL.
    18. Benos, Nikos & Karagiannis, Stelios & Karkalakos, Sotiris, 2015. "Proximity and growth spillovers in European regions: The role of geographical, economic and technological linkages," Journal of Macroeconomics, Elsevier, vol. 43(C), pages 124-139.
    19. Hans-Friedrich Eckey & Reinhold Kosfeld & Alexander Werner, 2012. "Bivariate K functions as instruments to analyze inter-industrial concentration processes," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 32(2), pages 133-157, September.
    20. Ashish Arora & Michelle Gittelman & Sarah Kaplan & John Lynch & Will Mitchell & Nicolaj Siggelkow & Juan Alcácer & Minyuan Zhao, 2016. "Zooming in: A practical manual for identifying geographic clusters," Strategic Management Journal, Wiley Blackwell, vol. 37(1), pages 10-21, January.
    21. Buzard, Kristy & Carlino, Gerald A. & Hunt, Robert M. & Carr, Jake & Smith, Tony E., 2017. "The Agglomeration of American Research and Development Labs," Working Papers 17-18, Federal Reserve Bank of Philadelphia.
    22. Marta R. Casanova & Vicente Orts & José M. Albert, 2017. "Sectoral scope and colocalisation of Spanish manufacturing industries," Journal of Geographical Systems, Springer, vol. 19(1), pages 65-92, January.
    23. Galina Boush & Okxana Kulikova & Ivan Shelkov, 2016. "Agent Modelling of Cluster Formation Processes in Regional Economic Systems (p. 64-77)," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(1), pages 64-77.
    24. 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.
    25. Bhattacharjee, Arnab & Maiti, Taps & Petrie, Dennis, 2014. "General equilibrium effects of spatial structure: Health outcomes and health behaviours in Scotland," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 286-297.

    More about this item


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

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • D92 - Microeconomics - - Micro-Based Behavioral Economics - - - Intertemporal Firm Choice, Investment, Capacity, and Financing
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. 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: (Sonal Shukla) or (Rebekah McClure). General contact details of provider: .

    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 CitEc recognized a reference but did not link an item in RePEc 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 RePEc Author Service 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.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.