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This chapter explores established approaches in the economic analysis of structural dynamics, in order to describe observed and potential changes in the economy triggered by automation and digitalisation. In particular, the discussion of mechanisation and computer-based automation by means of Classical Input-Output methods is complemented by an overview of recent empirical evidence on robot deployment. A Neoclassical framework of task-based skill-biased automation is considered in the light of empirical evidence on the routine intensity of tasks. Moreover, the emerging value of digital data is assessed through the lens of the System of National Accounts (SNA). Finally, the changing industry composition of the economy -nuanced by the distinction between immaterial goods and servicesis explained by interacting mechanisms of Keynesian inspiration between sectoral productivity, demand and income dynamics.

To cite this article: Marlies Schütz & Rita Strohmaier (2020): Power relations in European RDIcollaboration networks. Disparities in policy-driven opportunities for knowledge generation in ICT,

At present, the discussion on the dichotomy between statics and dynamics is resolved by concentrating on its mathematical meaning. Yet, a simple formalisation masks the underlying methodological discussion. Overcoming this limitation, the paper discusses Schumpeter's and Veblen's viewpoint on dynamic economic systems as systems generating change from within. It contributes to an understanding on their ideas of how economics could become an evolutionary science and on their contributions to elaborate an evolutionary economics. It confronts Schumpeter's with Veblen's perspective on evolutionary economics and provides insight into their evolutionary economic theorising by discussing their ideas on the evolution of capitalism.

Regional specifics reveal in differences in economic activity and structure, the institutional, socio-economic and cultural environment and not least in the capability of regions to create new knowledge and to generate innovations. Focusing on the regional level, this paper for three Australian territories (New South Wales, Victoria and Queensland) explores patterns of innovative activities in their private business sectors. Furthermore, these patterns are compared to specifics of each region's economic structure. We make use of input–output-based innovation flow networks, which are directed and weighted instead of binary. The value added of the proposed analysis is that we are able to trace a variety of different aspects related to the structure of innovative activities for each territory. It gets evident that mostly innovative activities in each territory are not strong in ‘niche’ branches but in fields of intense economic activity, signalising the high path-dependency of innovative activities in a specific geographical environment.