Socio-economic typologies of bureaucratic corruption and implications
Corruption all over the world is an ancient, but it seems very topical too, concern in politics and in the media. This paper investigates spatial and dynamic aspects of corruption using cellular automata. Although cellular automata are very simple, deterministic machines and thus crude approximations of real, economic situations, they are capable of describing self organization and complex patterns (of corruption). It is shown that neither social pressure nor pure economic incentives allow for complex patterns, although social pressure may lead to clusters of corrupt and uncorrupt segments within a bureaucracy. However, blending both above characteristics is capable explaining complex behavior. Extending the concept of cellular automata through mixing rules - across space (= bureaucrats) and time (accounting for global effects) - does not affect the fundamental properties.
If you experience problems downloading a file, check if you have the proper application to view it first. 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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 8 (1998)
Issue (Month): 2 ()
|Contact details of provider:|| Web page: http://link.springer.de/link/service/journals/00191/index.htm |
|Order Information:||Web: http://link.springer.de/orders.htm|
When requesting a correction, please mention this item's handle: RePEc:spr:joevec:v:8:y:1998:i:2:p:199-220. 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: (Guenther Eichhorn)or (Christopher F Baum)
If references are entirely missing, you can add them using this form.