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Modelling Individual Behaviour of Firms in the Study of Spatial Concentration

In: Growth and Innovation of Competitive Regions

Author

Listed:
  • Giuseppe Arbia

    (University G. d’Annunzio)

  • Massimiliano Copetti

    (University of Foggia
    CSS Hospital in San Giovanni Rotondo)

  • Peter Diggle

    (Lancaster University School of Health and Medicine
    Johns Hopkins University School of Public Health)

Abstract

The aim of this chapter is to present a class of statistical models to study the location of economic agents and their geographical concentration and explain their spatial interacting behaviour. Traditionally, the problem of the spatial location of economic activities has been approached in three different ways.

Suggested Citation

  • Giuseppe Arbia & Massimiliano Copetti & Peter Diggle, 2009. "Modelling Individual Behaviour of Firms in the Study of Spatial Concentration," Advances in Spatial Science, in: Ugo Fratesi & Lanfranco Senn (ed.), Growth and Innovation of Competitive Regions, pages 297-327, Springer.
    • Handle: RePEc:spr:adspcp:978-3-540-70924-4_14
    DOI: 10.1007/978-3-540-70924-4_14
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    Citations

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    Cited by:

    1. 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.
    2. repec:elg:eechap:14395_6 is not listed on IDEAS
    3. 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.
    4. Kai Li & Yunzhi Zhang & Wensi Wang & Yonglei Jiang & Hexin Zhang, 2022. "Spatial location of new foreign firms in Shanghai under the transformation of urban development," Bulletin of Economic Research, Wiley Blackwell, vol. 74(2), pages 405-420, April.

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