<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
doi: 10.1007/bf01237517
This paper analyzes some important factors determining firms' innovative activity by using a dynamic stochastic oligopoly model. We suppose that the rivals in an industry maximize their expected discounted cash flows with respect to R&D expenditures and output levels. Optimal innovative activity is shown to depend positively on market size, but negatively on demand and technological uncertainty, spillovers, and interest rates. Using an isoelastic demand function, we can show that, if spillovers are modest and demand is relatively inelastic, firms' maximum innovative activity is not necessarily to be expected in the monopoly case. The maximum may also occur in either a duopoly or triopoly.
Auctions, bargaining, bidding and selling, and other market models, Economic growth models, Stochastic systems in control theory (general)
Auctions, bargaining, bidding and selling, and other market models, Economic growth models, Stochastic systems in control theory (general)
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 7 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |