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Patents and Innovations for Growth and Welfare
The aim of this ending chapter is to present a structured summary of the previous chapters and tie them together through lingering on some cross-chapter themes and contributions in view of the aims of the book. Some of the main themes in this book at macro-level will moreover be tied into a previous book of mine 20 years back (as of April 2018) on the rise of intellectual capitalism and the economics and management of IP at micro-level. The chapter will end with a final plea for transnational technology and innovation governance in light of the crucial roles of new technologies and innovations and for global challenges and welfare. The general aim of this book has been to present a research-based analysis of the linkages between R & D, patents, innovations, growth and welfare and thereby increase our knowledge about how R & D of new technologies and innovations can contribute to growth and ultimately to welfare in society. A corollary aim has then been to focus specifically on patents and their linkages since patent and IP issues have been somewhat disconnected in general from R & D, innovations and economic growth in studies and debate of the latter. A subsidiary aim has been to clarify and offer a number of key concepts, distinctions and models in an attempt to contribute to a professional language in the innovation policy and management area. A final aim of the book has been to contribute to research in the innovation and IP area by offering some answers to common research questions as well as offering methods and suggestions for further IP policy research.
Xue Han and Jorge Niosi
Innovation and the Economics of the Solar Photovoltaic Industry
Xue Han and Jorge Niosi
Xue Han and Jorge Niosi
Chapter 2 extracts the key points of the solar PV sectors in terms of industrial performance, technologies and regulations. This chapter acts as the foundation for understanding further specific studies in the following chapter.
Edited by Faïz Gallouj and Faridah Djellal
Sander Faber and Marina van Geenhuizen
This chapter investigates adoption of medical technology in the form of eHealth solutions in hospitals. A model of organizational eHealth adoption is developed and empirically explored using a survey among hospitals in cities in the Netherlands and structural equation modelling (SEM). Technology adoption is seen as a process in different stages, revealing a high level of interest (about 60 per cent of hospitals) but very limited actual adoption (ranging from 6 per cent to 23 per cent). Furthermore, adoption levels tend to be higher in larger cities, and this is confirmed by significant direct influence of urban size on eHealth adoption. Other important factors tend to be organizational readiness and top management of hospitals, but these are not affected by urban size. The results leave the question open as to what makes hospitals in large cities more often adopt new technology if this is not mediated by hospital size and other organizational characteristics.
This chapter investigates innovation in urban passenger transport and clarifies how cities play a leading role. By focusing on liveability, intelligent systems management and new mobility, single innovations are discussed and the results summarized in a matrix. The most important ‘initiators’ are city governments, citizen groups, public transport authorities and universities, with the enterprise world somewhat lagging until recently. On the physical side, larger cities create more inventions and high density plays a role in feasibility of public transport. Universities are important, as is a historical city centre. On the social side, a well-educated population wishing to continue living in the city enhances innovation, but in some developing countries the electorate which does not own cars appears to be important. Also helpful are city governments acting on openness and trust and active political leaders. Furthermore, the early adopting cities often faced a crisis in mobility or failure of projects.
Pieter E. Stek
This chapter presents a bibliometric study identifying clusters (cities) that are ‘champions’ in acceleration of invention in solar photovoltaics (PV), using patent analysis. The number of inventions has increased rapidly in the past decades, particularly since 2003. In this process, leading clusters change, in part, over time. Some have held their position since 2000 – Tokyo, Osaka, Seoul and Taipei in East Asia, and San Jose in the US – whereas most high-performing clusters in the US have somewhat lost their position, for example Los Angeles. Over time, there is an increased spread of inventive performance in PV technology across the world. To improve understanding of these patterns, a regression model has been estimated. Using data from 110 clusters, it appears that agglomeration factors and relational factors are equally influential, and they also tend to reinforce each other. Leadership tends to follow from a delicate balance between the size of the cluster and size/diversity of its networks.