Search results for ""author cristiano antonelli""

This comprehensive and innovative Handbook applies the tools of the economics of complexity to analyze the causes and effects of technological and structural change. It grafts the intuitions of the economics of complexity into the tradition of analysis based upon the Schumpeterian and Marshallian legacies. The Handbook elaborates the notion of innovation as an emerging property of the organized complexity of an economic system, and provides the basic tools to understand the recursive dynamics between the emergence of innovation and the unfolding of organized complexity. In so doing, it highlights the role of organizational thinking in explaining the introduction of innovations and the dynamics of structural change. With a new methodological approach to the economics of technological change, this wide-ranging volume will become the standard reference for postgraduates, academics and practitioners in the fields of evolutionary economics, complexity economics and the economics of innovation.

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The notion of endogenous innovation as the outcome of the creative response of firms to out-of-equilibrium conditions is the cornerstone of the new evolutionary complexity. In this book, Cristiano Antonelli elaborates, applies and tests, with his colleagues, the Schumpeterian framework established in the author?s previous work Endogenous Innovation: The Economics of an Emergent System Property.The author carefully explores the role of the reactivity of firms to out-of-equilibrium conditions with a unique mix of econometric tools and simulation techniques. He examines the central role of knowledge externalities in shaping the likelihood of creative responses, and hence the generation of new knowledge and the introduction of innovations, as an alternative to adaptive responses that lead the system to equilibrium with no growth. In so doing, he confirms that innovation is the outcome of the interaction between individual decision-making and the endogenous and path-dependent properties of the system into which firms are embedded.This original and insightful work will be required reading for all those working on evolutionary economics, complexity economics, and the economics of innovation and knowledge.

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Tackling innovation as an endogenous process, this groundbreaking new book builds upon the Schumpeterian creative response by implementing the tools of complexity economics. This reappraisal of the Schumpeterian legacy allows the author to apply complexity economics to endogenous knowledge externalities and consequently move away from the Darwinistic and biological accounts of evolutionary economics. This approach proves that firms, in out-of-equilibrium conditions, try and react by means of introducing innovations. The success of this reaction is contingent upon access conditions to knowledge externalities. Cristiano Antonelli demonstrates that the consequent introduction of innovations may, in turn, knock firms further out of equilibrium and cause positive changes in the system's properties that feed the introduction of further innovations. In addition, this can also engender the decline of the system's properties and push firms to adaptive response that drive the system towards an equilibrium without growth and change. This path dependent loop of interactions between the system properties and the individual actions of firms is central to this book. Paving the way to a new phase of evolutionary economics, the book's prime readership will be students and scholars who study and teach evolutionary economics, the economics of innovation and/or the economics of growth.

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A landmark reference work in the field, this Elgar Encyclopedia presents over 60 entries from scholars that have shaped the economics of innovation as a distinct and specialised field of investigation. Comprehensive and accessible, it further elaborates the relationship between the economics of knowledge and the economics of innovation.The Encyclopedia offers an overview of the classical origins of the early economics of technical change, and the role of Schumpterian legacies and the Arrovian economics of knowledge as indispensable ingredients to understanding innovation. The entries demonstrate that the analysis of the full array of feedbacks, interactions and transactions that take place within economic systems show how and why out-of-equilibrium conditions in both factor and product markets are the cause and consequence of the introduction and diffusion of innovations.This will be a critical read for economics scholars, particularly those focusing on knowledge and innovation as it offers an understanding of the definitions of key terms in the field, the founding tenets of the topic, and the economics of knowledge and innovation in more specific contexts. It will also be a useful reference tool for business school students.Key Features: Contributions from 67 scholars in the field of the economics of knowledge and innovation Informative table offering thematic groupings of the entries in a thorough introduction Provides readers with the framework to elaborate innovation policies and firms’ strategies

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This volume presents a compilation of key papers chronicling the evolution of the economics of information into the economics of knowledge. It traces the unfolding of the fertile ambiguity and ambivalence of the notion of information with the identification and eventual separation of its two basic, quite distinct meanings: knowledge and signals. It documents the progressive understanding that it is not only necessary to search, screen and understand signals, but also to assess and select them so as to distinguish between true, false and fake ones. The capability to process signals and transform them into actual information stems from the stock of competence and knowledge that individuals and organizations possess and mobilize. The success of information economics paves the way to the economics of knowledge and this review will be an indispensable research tool for all those working and studying in the field.

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This comprehensive and innovative Handbook applies the tools of the economics of complexity to analyze the causes and effects of technological and structural change. It grafts the intuitions of the economics of complexity into the tradition of analysis based upon the Schumpeterian and Marshallian legacies. The Handbook elaborates the notion of innovation as an emerging property of the organized complexity of an economic system, and provides the basic tools to understand the recursive dynamics between the emergence of innovation and the unfolding of organized complexity. In so doing, it highlights the role of organizational thinking in explaining the introduction of innovations and the dynamics of structural change. With a new methodological approach to the economics of technological change, this wide-ranging volume will become the standard reference for postgraduates, academics and practitioners in the fields of evolutionary economics, complexity economics and the economics of innovation.

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This book elaborates a new dependent and localized growth theory based upon knowledge externalities by making two important contributions. Firstly, it elaborates the hypothesis that total factor productivity growth stems from pecuniary knowledge externalities that consist in the access to localized external knowledge, at costs that are below equilibrium levels. Secondly, it implements the economic analysis of complex dynamic systems with a novel approach to understanding the role of knowledge interactions and knowledge governance mechanisms in the generation of new technological knowledge within economic systems characterized by webs of interdependence. This approach provides a consistent interpretation of the puzzling experience of Italian economic growth in the years 1950-1992, which consisted of very low levels of expenditure in R&D yet high levels of productivity growth. The Italian case is analysed as an original distributed innovation system where knowledge externalities were generated by intensive interactions-cum-transactions between upstream producers and downstream users of capital goods, and exploited through the introduction of capital-intensive process innovations. This valuable book illustrates a new endogenous dependent growth theory based on localized knowledge interactions, knowledge externalities and knowledge governance. In so doing it makes a major step forward in the analysis of the economic of complexity of technological change. As such, it will be required reading for academics, researchers and advanced students of innovation and growth economics, industrial organization, and economic and business history.

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This volume presents the most important contributions of the last decade in the fields of science and innovation, demonstrating the key relationship between the two. Early chapters emphasize the intrinsic characteristics of knowledge as an economic activity, and later chapters document the importance of science as an input to technology and innovation. This continuum has pushed the field of economics to investigate in detail the processes that shaped the generation, dissemination, and exploitation of technological knowledge.The ideas of nearly fifty eminent researchers are assembled in this volume. Students of the field at all stages of their careers will benefit from reading this collection.

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Recent research on the economics of innovation has acknowledged the importance of path dependence and networks in the evolution of economies and the diffusion of new techniques, products, and processes. These are topics pioneered by Paul A. David, one of the world's leading scholars in the economics of innovation. This outstanding collection provides a fitting tribute to the diversity and depth of Paul David's contributions. The papers included range from simulation models of the evolution of market structure in the presence of innovation, through historical investigations of knowledge networks and empirical analysis of contemporary networks, to the analysis of the diffusion of innovations using simulation and analytic models and of the diffusion of knowledge using patent data.With an emphasis on simulation models, data analysis, and historical evidence, this book will be required reading for researchers in innovation economics and regional development as well as economists, sociologists, and historians of innovation and intellectual property.

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Recent research on the economics of innovation has acknowledged the importance of path dependence and networks in the evolution of economies and the diffusion of new techniques, products, and processes. These are topics pioneered by Paul A. David, one of the world's leading scholars in the economics of innovation. This outstanding collection provides a fitting tribute to the diversity and depth of Paul David's contributions. The papers included range from simulation models of the evolution of market structure in the presence of innovation, through historical investigations of knowledge networks and empirical analysis of contemporary networks, to the analysis of the diffusion of innovations using simulation and analytic models and of the diffusion of knowledge using patent data.With an emphasis on simulation models, data analysis, and historical evidence, this book will be required reading for researchers in innovation economics and regional development as well as economists, sociologists, and historians of innovation and intellectual property.

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