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Spatial Dispersion of Interconnection Clusters in the European Internet

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  • Alessio D'Ignazio
  • Emanuele Giovannetti

Abstract

Abstract This paper studies the effects of geographical distance on the interconnection agreements between providers participating at Internet Exchange Points (IXPs) in Europe. We assess separately two main issues: the extent of existing clustering, as well as the role of proximity in bilateral interconnection decisions. Our results show the dominance of spatial random patterns in the interconnection agreement distributions. On the other hand, we find that proximity positively affects the probability of establishing interconnection for all the IXPs studied but one. Interesting, the latter is the only one showing an initially clustered morphology. This indicates a prevalence of centripetal forces—local spillovers and mutual knowledge—over geographical differentiation for any pre-existing interconnection pattern morphology except the clustered ones.

Suggested Citation

  • Alessio D'Ignazio & Emanuele Giovannetti, 2007. "Spatial Dispersion of Interconnection Clusters in the European Internet," Spatial Economic Analysis, Taylor & Francis Journals, vol. 2(3), pages 219-236.
    • Handle: RePEc:taf:specan:v:2:y:2007:i:3:p:219-236
    DOI: 10.1080/17421770701576889
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    References listed on IDEAS

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    1. Wagner, Alfred, 1891. "Marshall's Principles of Economics," History of Economic Thought Articles, McMaster University Archive for the History of Economic Thought, vol. 5, pages 319-338.
    2. Edward E Leamer & Michael Storper, 2001. "The Economic Geography of the Internet Age," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 32(4), pages 641-665, December.
    3. Enrico Santarelli, 2004. "Patents and the Technological Performance of District Firms Evidence for the Emilia-Romagna Region of Italy," Papers on Entrepreneurship, Growth and Public Policy 2004-29, Max Planck Institute of Economics, Entrepreneurship, Growth and Public Policy Group.
    4. Chris Forman & Avi Goldfarb & Shane Greenstein, 2002. "Digital Dispersion: An Industrial and Geographic Census of Commerical Internet Use," NBER Working Papers 9287, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Emmanouil Tranos & Peter Nijkamp, 2013. "The Death Of Distance Revisited: Cyber-Place, Physical And Relational Proximities," Journal of Regional Science, Wiley Blackwell, vol. 53(5), pages 855-873, December.
    2. Emmanouil Tranos & Peter Nijkamp, 2014. "Digital infrastructure and physical proximity," Chapters, in: André Torre & Frédéric Wallet (ed.), Regional Development and Proximity Relations, chapter 8, pages 267-290, Edward Elgar Publishing.

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    More about this item

    Keywords

    Internet; peering; clustering; agglomeration; networks; IXP; C21; C25; D85; L86; R12; Z13;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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