This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Death of distance and agglomeration forces of firms in the urban e-economy : an artificial intelligence approach using rough set analysis

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Geenhuizen, Marina van (Vrije Universiteit Amsterdam, Faculteit der Economische Wetenschappen en Econometrie (Free University Amsterdam, Faculty of Economics Sciences, Business Administration and Economitrics)
Nijkamp, Peter

Additional information is available for the following registered author(s):

Abstract

The present study addresses the relevance of geographic proximity for companies in our age of advanced ICT. Many visions of, and speculations on, an increased footlooseness of companies and a concomitant dispersal of urban economic activity have been published in recent years. To identify whether urban agglomeration economies (in particular, knowledge spillovers) are still a key force in preventing such dispersal, we investigate the degree of footlooseness of young, innovative companies. First, we briefly review the traditional theory of agglomeration economies, in particular knowledge spillovers. Next, we connect this theory with more recent resource-dependence views. We then present the results of an empirical analysis of young, innovative companies in various city regions in the Netherlands. The selected innovative sectors are medical biotechnology, ICT services, and mechatronics (optronics), and do not include consumer-oriented activities. The exploratory analysis based on interviews with 21 companies employs an artificial intelligence method, called 'rough set analysis', to increase our understanding of the crucial factors that influence the relevance of physical proximity. On the basis of these results, we argue that agglomeration economies still remain important for various categories of young, innovative firms, even those providing ICT services, but that we need to make a distinction between agglomeration economies that work exclusively in the largest city (i.e. Amsterdam) and agglomeration economies that cover a larger metropolitan area. The only fundamental change in proximity needs among these young, innovative companies originates from a small class of network companies, which are footloose even beyond the larger metropolitan area.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help file. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: ftp://zappa.ubvu.vu.nl/20050007.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Free University Amsterdam, Faculty of Economics, Business Administration and Econometrics in its series Serie Research Memoranda with number 0007.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Length:
Date of creation: 2005
Date of revision:
Handle: RePEc:dgr:vuarem:2005-7

Contact details of provider:
Web page: http://www.econ.vu.nl

For technical questions regarding this item, or to correct its listing, contact: (R. Dam).

Related research
Keywords: ICT young and innovative companies agglomeration economies proximity footlooseness rough set analysis artificial intelligence

Find related papers by JEL classification:
R12 - Urban, Rural, and Regional Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

This paper has been announced in the following NEP Reports:

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.:
  1. Glaeser, Edward L, 1998. "Are Cities Dying?," Journal of Economic Perspectives, American Economic Association, vol. 12(2), pages 139-60, Spring. [Downloadable!] (restricted)
  2. Audretsch, David B, 1998. "Agglomeration and the Location of Innovative Activity," CEPR Discussion Papers 1974, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
    Other versions:
  3. Rosenthal, Stuart S. & Strange, William C., 2001. "The Determinants of Agglomeration," Journal of Urban Economics, Elsevier, vol. 50(2), pages 191-229, September. [Downloadable!] (restricted)
  4. Enno Masurel & Peter Nijkamp, 2002. "Motivations and Performance Conditions for Ethnic Entrepreneurship," Growth and Change, Gatton College of Business and Economics, University of Kentucky, vol. 33(2), pages 238-260. [Downloadable!] (restricted)
    Other versions:
  5. Tabuchi, Takatoshi, 1998. "Urban Agglomeration and Dispersion: A Synthesis of Alonso and Krugman," Journal of Urban Economics, Elsevier, vol. 44(3), pages 333-351, November. [Downloadable!] (restricted)
  6. Meric S. Gertler, 2003. "Tacit knowledge and the economic geography of context, or The undefinable tacitness of being (there)," Journal of Economic Geography, Oxford University Press, vol. 3(1), pages 75-99, January.
  7. Hoang, Ha & Antoncic, Bostjan, 2003. "Network-based research in entrepreneurship: A critical review," Journal of Business Venturing, Elsevier, vol. 18(2), pages 165-187, March. [Downloadable!] (restricted)
Full references

Statistics
Access and download statistics

Did you know? All bibliographic data on IDEAS has been put in the public domain by the publishers.

This page was last updated on 2008-7-3.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.