Author
Abstract
Striking a balance between the costs and benefits of information processing is a fundamental problem in a dynamic system. The point of this analysis is to identify conditions that determine whether that balance actually occurs in an economy, with particular attention to the question of how institutional arrangements determine market outcomes. This paper extends the theoretical framework for exploring the diffusion of new technologies through firms and industries. A useful technique for studying information processing is to construct a network; the links of the network represent channels through which information flows between agents located at the nodes. Two important aspects of networks are particularly relevant to this analysis. One, the structure of a network may be the result of individual agents within the network. Actions that result in better outcomes for agents at the nodes may not result in structures that work best for the entire group. Two, the problem of finding the optimal network for a given situation can be computationally demanding, making it unrealistic to assume that a "manager" could actually solve this problem. Thus, it is not credible to assume that the networks that form in an economy will necessarily be the ones that optimize the flow of information. This analysis will rely on an alternate presumption: an evolutionary process drives the development of networks. The focus of this paper is to identify how these evolutionary outcomes compare with optimal solutions. An important innovation in this analysis is to show how the institutional environment shapes the evolutionary outcome. In the network model, different institutional regimes correspond to different distributions of the costs and benefits of information processing. The analysis of evolutionary outcomes hinges on the relevant institutional regime. This leads directly to the identification of institutional changes that can improve outcomes, free the flow of information, and encourage the diffusion of profitable new technologies.
Suggested Citation
Glenn T. Mitchell, 1999.
"Evolution of Networks and the Diffusion of New Technology,"
Computing in Economics and Finance 1999
244, Society for Computational Economics.
Handle:
RePEc:sce:scecf9:244
Download full text from publisher
To our knowledge, this item is not available for
download. To find whether it is available, there are three
options:
1. Check below whether another version of this item is available online.
2. Check on the provider's
web page
whether it is in fact available.
3. Perform a
search for a similarly titled item that would be
available.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sce:scecf9:244. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F. Baum (email available below). General contact details of provider: https://edirc.repec.org/data/sceeeea.html .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.