Title
IMITATION, PROXIMITY, AND GROWTH — A COLLECTIVE SWARM DYNAMICS APPROACH
Abstract
This paper is based on the premise that economic growth is driven by an interplay between innovation and imitation in an economy composed of interacting firms operating in a stochastic environment. A novel approach to modeling imitation is presented based on range-dependent processes that describe how firms consider proximity when imitating peers who are found in a given neighborhood in terms of productivity. Using a particularly tractable approach, we are able to analyze how drastically different economic growth scenarios emerge from different imitation strategies. These emerging scenarios range from diffusive growth where the variance of productivity grows indefinitely, to balanced growth described by a traveling wave with fixed variance. The latter scenario is sustained only when imitation strength among firms exceeds a critical bifurcation threshold.
Year
DOI
Venue
2019
10.1142/S0219525919500115
ADVANCES IN COMPLEX SYSTEMS
Keywords
DocType
Volume
Economic growth,innovation propagation,imitation process,interaction range,growth regime transition,mean-field games
Journal
22
Issue
ISSN
Citations 
5
0219-5259
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Olivier Gallay183.06
Fariba Hashemi200.34
Max-Olivier Hongler300.34