Claudia Werker

Learning innovation policy based on historical experience

Innovation fosters structural change and growth and drives socio-economic change. The generation and diffusion of innovation is a dynamic process, which cannot adequately be guided by static policy conceptions. In this paper we will explore the possibility of devising and implementing a ‘learning’ innovation policy. As organisational and technological change is not completely haphazard, we argue that innovation policy can make use of structural regularities in socio-economic change whilst, at the same time, be open to advances in scientific knowledge. We devise a method that achieves these two aims and apply it to a concrete example (knowledge systems). We conclude with practical implications originating from such a ‘learning’ innovation policy.

Innovation and the Learning Policy Maker – An Evolutionary Approach Based on Historical Experience

This book focuses on the emerging field of evolutionary economic policy, highlighting the interface between the state, markets, and the evolutionary complexity of modern economies. The contributors explore the possibilities and limitations of governance, and provide a unique platform for the advancement of modern evolutionary economic theory.