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! ]

The Effect of a Region’s Location on It’s Development

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Vassilis Angelis ()
Eleni Gaki ()
Abstract

The sustainable development of a region depends on its power to attract industrial units. Industrial mobility, however, is largely a voluntary process. Hence, a region’s growth or decline depends on its power to “pull†and “retain†industries but also the right blend of people to run them; this pulling power depends on what we call the Image of a region. At each time instant the region “sends out†its Image and depending on its impact on the people (both employers and employees) the region may be considered Attractive or Repulsive. The image of a region may be defined as a function of a multitude of factors physical, economic, social and environmental. One of those factors, ïn which our emphasis is placed in the present work, is the region’s proximity to influence centers (markets, resources and decision centers). This proximity may be expressed through a variable, which is referred to as the region’s Location Multiplier. As a first attempt to quantify this multiplier we may express it as a function of the region’s distance and / or transportation cost to and from the main influence centers. Such an approach, although sound and realistic in most cases, has a serious shortcoming as it cannot take into account the problems of spatial discontinuity faced by remote and especially island regions. To overcome this problem we may extend the above function so as to include the region’s spatial continuity dimension expressed by the availability in the region of all or only a number of the classic transportation modes. This new multiplier is clearly much improved as compared to the previous one, but still has a weakness, as it cannot take into account the opportunities offered to a remote region by the new Information and Communication Technologies. To alleviate this weakness we may extend the multiplier so as to include the information continuity dimension expressed by the availability in the region of the infrastructure required for the implementation of such technologies. Our objective in this paper is to define a region’s Location Multiplier, going through the three stages described above, suggest ways of quantifying it and finally applying it to a number of regions in Greece, a country with many islands and thus having an intense spatial continuity problem but also a lot to gain from an information continuity situation.

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 page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www-sre.wu-wien.ac.at/ersa/ersaconfs/ersa06/papers/888.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by European Regional Science Association in its series ERSA conference papers with number ersa06p888.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: Aug 2006
Date of revision:
Handle: RePEc:wiw:wiwrsa:ersa06p888

Contact details of provider:
Postal: Augasse 2-6, 1090 Vienna, Austria
Web page: http://www.ersa.org

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

Related research
Keywords:

This paper has been announced in the following NEP Reports:

Statistics
Access and download statistics

Did you know? Use the JEL tree to browse through the database by subfields.

This page was last updated on 2009-10-17.


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.