Science, technology and innovation for economic growth: Linking policy research and practice in ‘STIG Systems’

Abstract

This paper reflects on the relevance of “systems-theoretic” approaches to the interdependent policy issues relating to the dynamics of science, technology and innovation and their relationship to economic growth. Considering the approach that characterizes much of the current economics literature's treatment of technology and growth policies, we pose the critical question: what kind of systems paradigm is likely to prove particularly fruitful in that particular problem-domain? Evolutionary, neo-Schumpeterian, and complex system dynamics approaches are conceptually attractive, and we examine their respective virtues and limitations. Both qualities are readily visible when one tries to connect systems-relevant research with practical policy-making in this field.