Cities are key places of economic activity, as they produce an enormous amount of wealth compared to the land they cover. Their study is, therefore, of primary importance in understanding the success of nations. Given the many interactions among people that happen within them, cities are well described as complex evolving systems, and a thorough analysis of their economy should be able to deal with this complexity. A likely candidate to grasp the reality of complex evolving systems, such the economy of cities, is the Economic Complexity framework (Hidalgo and Hausmann, 2009), given its capacity to synthesize a large amount of informa- tion into a single index. We use patent data to compute the knowledge complexity index (KCI) of European metropolitan areas and describe their economy in terms of their innovative potential. Interpreted as a dimensionality-reduction algorithm, as proposed by Mealy et al. (2019), KCI helps to filter out the background noise from the abundant information produced by the interactions that happen within cities. By extending the work by van Dam et al. (2021), we highlight the relevance of going beyond the first leading eigenvector, to the analysis of which the rest of the literature is limited. We define clusters of similar cities, based on the additional dimensions obtained through this dimensionality-reduction procedure. The introduction of clusters dramatically increases the predicting power of KCI. Under this lens, the Economic Complexity framework is more than a single index: it is a powerful methodology to reveal the organized complexity hidden behind the large amount of chaotic information produced by out-of-equilibrium economic systems such as cities.

In recent years there has been growing scientific interest in the triangular relationship between knowledge. complexity and innovation systems. The concept of'innovation systems' carries the idea that innovations do not originate as isolated discrete phenomena, but are generated through the interaction of a number of actors or agents. This set of actors and interactions possess certain specific characteristics that tend to remain over time. Such characteristics are also shared by national, regional, sectoral and technological interaction systems. They can all be represented as sets of [institutional] actors and interactions, whose ultimate goal is the production and diffusion of knowledge. The major theoretical and policy problem posed by these systems is that knowledge is generated not only by individuals and organisations, but also by the often complex pattern of interaction between them. To understand how organisations create new products, new production techniques and new organisational forms is important. An even more fundamental need is to understand how organisations create new knowledge if this knowledge creation lies in the mobilisation and conversion of tacit knowledge. Although much has been written about the importance of knowledge in management, little attention has been paid to how knowledge is created and how the knowledge creation process is managed. The third component of the research triangle concerns complexity.

This book provides new insights on cities and the nature of urban development, and the role of knowledge management in urban growth. It considers how knowledge informs policies and supports decision making, and can assist in addressing the drivers of urban change. The way that knowledge is produced and used in urban development is analysed, with examples drawn from a range of European countries. This book illustrates how the development and implementation of policies for urban areas can draw on knowledge management, even as the knowledge economy itself stimulates the evolution of the city as a place of innovation and creativity. Whilst knowledge grows in importance, so do urban issues, particularly in economic and political contexts at both European and national levels. These essays explore growth in the range of knowledge available in urban contexts, the ways to generate new knowledge from a wide range of stakeholders, and how these can make an effective contribution to decision making processes in urban development. The attractiveness of cities and surrounding areas to knowledge based forms of industry and investment and the competitiveness and performance of cities are a matter of major concern for national governments. In a sense it has become too important to leave to city politicians, and it is a topic requiring sustained reflection. This book gives the reader a detailed understanding of the issues involved and prompts further reflections.

The book addresses the relationship between knowledge, complexity and innovation systems. It integrates research findings from a broad area including economics, business studies, management studies, geography, mathematics and science & technology contributions from a wide range group of international experts. In particular, it offers insights about knowledge creation and spillovers, innovation and learning systems, innovation diffusion processes and innovation policies. The contributions provide an excellent coverage of current conceptual and theoretical developments and valuable insights from both empirical and conceptual work. The reader gets an overview about the state of the art of the role of innovation systems and knowledge creation and diffusion in geographical space.

Combining economic analysis with in-depth industry studies, the 2024 edition of the World Intellectual Property Report introduces a new data-driven methodology designed to help policymakers make informed decisions by leveraging existing local innovation capabilities and strengthen their national innovation ecosystems. Complementing this framework are three case studies across the agriculture technology, motorcycle and video game industries, spanning eight different countries. These studies demonstrate how countries have successfully carved out specialized trajectories within innovative and complex industries.

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.

This book presents the fmdings of a comparative study of three European metropolitan regions: Vienna, Barcelona and Stockholm. The heart of the work consists of empirical studies carefully designed and developed in order to identify the main actors and mechanisms supporting technological innovation in each of the metropolitan regions. The authors have also highlighted the similarities and differences across regions and countries, investigating how these came to be, and discussing the possible implications. The introductory as well as the concluding Chapter was written by Manfred M. Fischer who, assisted by Attila Varga, was also responsible for Chapter 2 on the Metropolitan Region of Vienna. Javier Revilla Diez contributed Chapter 3 on the Barcelona Metropolitan Region. Folke Snickars has provided Chapter 4 which examines the Metropolitan Region of Stockholm and. All authors have reviewed and commented on the whole contents so that the volume represents a collective endeavour which has been rendered as homogeneous as possible. A particular effort has been made to ensure that the study is based on a common conceptual framework.

Metropolitan growth has been dramatic in the past several decades, and today metropolitan regions are recognized as the main driving forces in national growth and development as well as in national and global innovation processes. The purpose of this book is to contribute to a better understanding of how metropolitan regions and their subsystems interact and compete, why they differ in their capacity to nurture innovation and growth, and how metropolitan policies must be designed to secure the region’s long-term vitality. To that end, it presents new contributions on theories of urban growth, institutions and policies of urban change, and case studies of urban growth prepared by international experts.

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. ​

Karlsson has assembled a strong mix of papers that collectively provide a good sense of some of the latest research in the field. Edward Feser, Review of Regional Studies This is a book every regional scientist and spatial analyst should have on their bookshelf. Like most Handbook type publications it provides depth and breadth on the basics of the industrial clustering concept. However, unlike most of these type of collections, it goes beyond the foundation material to identify and speculate on questions that are emerging on the research frontiers such as at the intersection of cluster theory and agglomeration processes, knowledge spillovers and technology transfer not to mention the obvious link to economic development theory, policy and practice. Roger R. Stough, George Mason University, US This eclectic volume presents a host of methods to describe tendencies for the joint location of economic agents in space. And it illustrates useful applications of these concepts in diverse fields financial services, culture, tourism, and industry, to name just a few. John M. Quigley, University of California, US Clusters have increasingly dominated local and regional development policies in recent decades and the growing intellectual and political interest for clusters and clustering is the prime motivation for this Handbook. Charlie Karlsson unites leading experts to present a thorough overview of economic cluster research. Topics explored include agglomeration and cluster theory, methods for analysing clusters, clustering in different spatial contexts and clustering in service industries. Encompassing the developed economies of Europe and North America, the Handbook provides a basis for improving cluster policy formulation, interpretation and analyses. This comprehensive overview of research on economic clusters will be of interest to scholars and PhD students in (regional) economics, economic geography, regional planning and management as well as practitioners and policymakers at the national, regional and local levels involved in cluster formation and cluster management.