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Are more competitive industries more innovative? Empirical investigation into various theories of innovation in industrial organization, agency theory, or endogenous growth, make diverse predictions with respect to this long-standing open question in economics. In this paper, we investigate the empirical relationship between competition intensity and firm innovation using a new micro-database containing a large sample of Canadian manufacturing enterprises over the 2000-05 period. Using three different measures of competition intensity, we find evidence that competition intensity is positively related to firm-level expenditures on research and development (R&D) in Canadian manufacturing industries. However, we also find that this relationship is dampened when more firms are further from the technological frontier of their industry. Nevertheless, the results provide evidence for a Schumpeterian interpretation, whereby market power can increase business incentives for innovation when many firms are technological laggards.

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Markets are being populated with new generations of pricing algorithms, powered with artificial intelligence (AI), that have the ability to autonomously learn to operate. This ability can be both a source of efficiency and cause of concern for the risk that algorithms autonomously and tacitly learn to collude. In this paper we explore recent developments in the economic literature and discuss implications for policy.