This book provides an assessment of the evolution and dynamics of regional innovation systems (RISs) and the economic and social impact of resulting knowledge spillovers, presenting comparative case studies on the regions of several Central and Eastern European (CEE) countries (Czech Republic, Poland, Hungary, Slovakia, Lithuania and Estonia). It analyses RISs on the basis of several dimensions, such as absorption capacity and intellectual capital, and using several methods such as data envelopment analysis, patent network analysis, and weighted sum approach. Further, by looking at the economic and social impact of knowledge spillovers in RISs and networking, it identifies key distinguishing factors, including foreign direct investments, still prevalent centralized decision-making, EU-driven innovation policies and public financing of innovations. Sectoral case studies, e.g. from the automobile, chemical and other hi-tech manufacturing industries, are presented to help readers understand the different types of knowledge spillovers in CEE countries and the evolution and dynamics of RISs, and provide a multifaceted overview of the CEE regions.

Embedding the theoretical discussion on the framework of evolutionary regional innovation systems (RIS), this book reveals the informal nature of the emerging RIS in China, within which interactive learning is organized on the basis of social networks. Furthermore, in a comparative study in the Pearl River Delta, China demonstrates that dirigiste governance in the initial industrialization phase leads to a more mature and developed RIS than does grassroots governance. The theoretical developments and empirical investigation presented in this book will grant readers a deeper understanding of the specific features of RIS within the transitional context of emerging economies.

Inhaltsangabe:Abstract: Innovation is essential for the competitiveness of companies within the globalised knowledge economy. In the actual situation of high unemployment rates in most western countries public economy support works thereby actively on the improvement of innovation activity conditions. The regional level is for this attempt the most interesting spatial entity because of its high significance in global economic mechanisms. The questions motivating this master thesis are how regional innovation policy can improve a regional innovation system and which of the possible policy instruments the most effective ones are to combat unemployment. Innovations are the new combination of recent or established knowledge, whose implementation had a noticeable effect on the performance of the organisation, it was implemented in. This includes product, process, organisational and people innovations. Innovations are not anymore an individual effort but a process which involves many actors and institutions. The basis for the exploration of how to support the development and implementation of these innovations is the regional innovation system approach. It divides the innovation process into phases and their linkages and allows identifying analytically the evolved actors and the weaknesses of the innovation process. The analysis of innovation policy instruments assigns each weakness within the innovation process an instrument which is explained and analysed in detail. The examined instruments are competence centres, start-up centres, science parks, networks, regional knowledge management and diffusion agencies. Each instrument s function and its main characteristics get described together with a best practice example, which leads to a conclusion on its effects on innovation and employment. The result of the analysis is that competence centres, start-up centres and science parks are central instruments and have the highest potential for employment effects. Networks, regional knowledge management and diffusion agencies are more supporting measures that improve the performance of the first three. For the success of all instruments, their combination with each other and the utilisation of synergies and dependencies between them is essential. A holistic concept including all instruments is the most effective way to support regional innovation processes. These findings get transferred to the case study region Bonn where, as an example for an [...]

This book highlights a number of issues at the leading edge of both research and policy making, such as knowledge generation/production, knowledge distribution/transfer, knowledge spillovers, learning, knowledge management, information logistics, industrial clusters, industrial networks and regional innovation systems. This book will appeal to academics and researchers of knowledge management, technology and innovation and industrial organisation. Policy makers and planners in international organisations, national and regional governments - in particular those dealing with R & D policies, industrial policies and regional policies - will also find much to engage them.

The book provides conceptual and empirical insights into the complex relationship between knowledge flows and regional growth in the EU. The author critically scrutinizes and enhances the RIS (Regional Innovation System) approach, discussing innovation as a technological, institutional and evolutionary process. Moreover, she advances the ongoing discourse on the role of space and technological proximity in the process of innovation and technological externalities. The book closes with an investigation of the role of technological change and knowledge spillovers in the dynamic growth and “catching-up” of EU regions. ​

This original and timely book presents the most comprehensive, empirically based analysis of clustering dynamics in the high-technology sector across liberal and co-ordinated market economies.

This book discusses the latest theoretical advances in regional innovation research, presents empirical cases involving the development of regional innovation systems (RISs), and explores regional innovation policy approaches. Grounded in the extensive literature on RISs, it addresses state-of-the-art developments in light of recent theoretical advances in economic geography and related disciplines. Written in honor of Bjørn Asheim's seventieth birthday, the book includes novel and carefully selected chapters prepared by collaborators, colleagues and former PhD-students of one of the founding fathers of RIS research. Further, it makes a significant contribution to the academic debate on regional innovation and growth and offers valuable insights for scholars and policymakers alike.

This book constitutes the refereed proceedings of the 9th China National Conference on Big Data and Social Computing, BDSC 2024, held in Harbin, China, during August 810, 2024. The 28 full papers presented in this volume were carefully reviewed and selected from a total of 141 submissions. The papers in the volume are organized according to the following topics: digital society and public security; modelling and simulation of social systems; internet intelligent algorithm governance; social network and group behavior; innovation, risks, and network security of large language models; and artificial intelligence and cognitive science.

While aerospace and aircraft form two poles in Montreal and Toronto, Ottawa is Canada's centre for semiconductor and telecommunication innovation. Niosi explores how these regional configurations are shaped by national and provincial public policy incentives.

This volume covers the topic of innovation in three sections, first demonstrating that processes of innovation and technological change are spatially differentiated, second examining the increasing importance of knowledge creation and diffusion, and third raising key issues related to the systems of innovation approach as a conceptual framwork for regional innovation analysis. Includes enlightening conceptual and empirical work on the issue of how knowledge spills over locally.