Innovation Dynamics and Industry Structure Under Different Technological Spaces
Authored by Alessandro Caiani
Date Published: 2017
DOI: 10.1007/s40797-017-0049-z
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Abstract
The paper presents an Agent-Based model to analyze the reciprocal
influence between industry structure and industry innovation patterns.
This topic was originally investigated through the seminal models of
Schumpeterian competition developed by Nelson and Winter (Am Econ Rev
67:271-276, 1977, An Evolutionary Theory of Economic Change. Harvard
University Press, Cambridge, 1982 ), Winter (J Econ Behav Organ
5:287-320, 1984), and Nelson (National innovation systems. A comparative
analysis. Oxford University Press, Oxford, 1993). However, the knowledge
accumulation process depicted in these models was extremely simplified.
In particular, they did not provide any insight about the direction of
firms' technological advancement, within the range of possible
alternative technological paths. This aspect is instead of topical
importance for the generation of sectoral spillovers affecting the
diffusion of innovations and the evolution of the industry structure.
Our model aims at filling this gap by amending the framework proposed in
Nelson and Winter (An Evolutionary Theory of Economic Change. Harvard
University Press, Cambridge, 1982) so to to account for different
characterizations of the `technology structure' of the industry, and
their possible influence on the process of Schumpeterian selection. More
precisely, technology is represented as a directed network where each
node constitutes a batch of technological skills to be learned by firms.
The model shows that firms' ability to imitate competitors generates
spillover effects whose relevance depends upon the topological structure
of Technology Network and firms' specialization trajectories. In turn,
by influencing the process of Schumpeterian competition, these
spillovers exert a fundamental impact on both the industry innovative
performance and the evolution of the industry structure.
Tags
Agent-based models
Innovation
networks
Evolutionary economics
history-friendly model
Regimes
Trajectories
Firms
Technical change
Schumpeterian competition