Author: Isabel Almudi
Publisher: Cambridge University Press
ISBN: 1108854990
Category : Business & Economics
Languages : en
Pages : 98
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Book Description
Coevolution in economic systems plays a key role in the dynamics of contemporary societies. Coevolution operates when, considering several evolving realms within a socioeconomic system, these realms mutually shape their respective innovation, replication and/or selection processes. The processes that emerge from coevolution should be analyzed as being globally codetermined in dynamic terms. The notion of coevolution appears in the literature on modern innovation economics since the neo-Schumpeterian inception four decades ago. In this Element, these antecedents are drawn on to formally clarify and develop how the coevolution notion can expand the analytical and methodological scope of evolutionary economics, allowing for further unification and advance of evolutionary subfields.
Author: Richard R. Nelson
Publisher: Cambridge University Press
ISBN: 1108660789
Category : Business & Economics
Languages : en
Pages : 285
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Book Description
Evolutionary economics sees the economy as always in motion with change being driven largely by continuing innovation. This approach to economics, heavily influenced by the work of Joseph Schumpeter, saw a revival as an alternative way of thinking about economic advancement as a result of Richard Nelson and Sidney Winter's seminal book, An Evolutionary Theory of Economic Change, first published in 1982. In this long-awaited follow-up, Nelson is joined by leading figures in the field of evolutionary economics, reviewing in detail how this perspective has been manifest in various areas of economic inquiry where evolutionary economists have been active. Providing the perfect overview for interested economists and social scientists, readers will learn how in each of the diverse fields featured, evolutionary economics has enabled an improved understanding of how and why economic progress occurs.
Author: Geoffrey M. Hodgson
Publisher: Cambridge University Press
ISBN: 9781108738002
Category : Business & Economics
Languages : en
Pages : 75
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Book Description
This Element examines the historical emergence of evolutionary economics, its development into a strong research theme after 1980, and how it has hosted a diverse set of approaches. Its focus on complexity, economic dynamics and bounded rationality is underlined. Its core ideas are compared with those of mainstream economics. But while evolutionary economics has inspired research in a number of areas in business studies and social science, these have become specialized and fragmented. Evolutionary economics lacks a sufficiently-developed core theory that might promote greater conversation across these fields. A possible unifying framework is generalized Darwinism. Stronger links could also be made with other areas of evolutionary research, such as with evolutionary anthropology and evolutionary psychology. As evolutionary economics has migrated from departments of economics to business schools, institutes of innovation studies and elsewhere, it also needs to address the problem of its lack of a single disciplinary location within academia.
Author: Peter A. Hall
Publisher: Oxford University Press
ISBN: 0199247749
Category : Business & Economics
Languages : en
Pages : 557
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Book Description
Applying the new economics of organisation and relational theories of the firm to the problem of understanding cross-national variation in the political economy, this volume elaborates a new understanding of the institutional differences that characterise the 'varieties of capitalism' worldwide.
Author: Johann Peter Murmann
Publisher: Cambridge University Press
ISBN: 9780521813297
Category : Business & Economics
Languages : en
Pages : 324
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Book Description
A comparison of the development of the synthetic dye industry in Europe and the US.
Author: George Modelski
Publisher: Univ of South Carolina Press
ISBN: 9781570030543
Category : Business & Economics
Languages : en
Pages : 290
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Book Description
The idea that political and economic power moves in coordinated cycles has long intrigued political scientists and political economists, for if a pattern exists in the rise and fall of international political power, a model explaining this pattern gains predictive qualities. In Leading Sectors and World Powers, George Modelski and William R. Thompson venture beyond previous attempts to explain why major powers rise, fall, and fight about their changing status to establish an explicit connection between war, economic innovation, and world leadership. They argue that surges in economic innovation, which in turn are tied to global war, determine leadership in the global system. Modelski and Thompson base their theory on the coordination of long cycles (phases of world order and decay punctuated by intensive bouts of global war) and K-waves (cycles delineating the wax and wane of leading industrial sectors). They contend that K-waves appear in paired sets correlated to long-cycle shifts in political power. Modelski and Thompson conclude by discussing the nature and timing of the next K-wave/long cycle peak, commenting on the relevance of it for U.S. industrial policy and speculating on the possibility of evolving away from this pattern in the near future.
Author: David S. Wilson
Publisher: MIT Press
ISBN: 0262035383
Category : Business & Economics
Languages : en
Pages : 409
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Book Description
An exploration of how approaches that draw on evolutionary theory and complexity science can advance our understanding of economics. Two widely heralded yet contested approaches to economics have emerged in recent years: one emphasizes evolutionary theory in terms of individuals and institutions; the other views economies as complex adaptive systems. In this book, leading scholars examine these two bodies of theory, exploring their possible impact on economics. Relevant concepts from evolutionary theory drawn on by the contributors include the distinction between proximate and ultimate causation, multilevel selection, cultural change as an evolutionary process, and human psychology as a product of gene-culture coevolution. Applicable ideas from complexity theory include self-organization, fractals, chaos theory, sensitive dependence, basins of attraction, and path dependence. The contributors discuss a synthesis of complexity and evolutionary approaches and the challenges that emerge. Focusing on evolutionary behavioral economics, and the evolution of institutions, they offer practical applications and point to avenues for future research. Contributors Robert Axtell, Jenna Bednar, Eric D. Beinhocker, Adrian V. Bell, Terence C. Burnham, Julia Chelen, David Colander, Iain D. Couzin, Thomas E. Currie, Joshua M. Epstein, Daniel Fricke, Herbert Gintis, Paul W. Glimcher, John Gowdy, Thorsten Hens, Michael E. Hochberg, Alan Kirman, Robert Kurzban, Leonhard Lades, Stephen E. G. Lea, John E. Mayfield, Mariana Mazzucato, Kevin McCabe, John F. Padgett, Scott E. Page, Karthik Panchanathan, Peter J. Richerson, Peter Schuster, Georg Schwesinger, Rajiv Sethi, Enrico Spolaore, Sven Steinmo, Miriam Teschl, Peter Turchin, Jeroen C. J. M. van den Bergh, Sander E. van der Leeuw, Romain Wacziarg, John J. Wallis, David S. Wilson, Ulrich Witt
Author: Antonelli, Cristiano
Publisher: Edward Elgar Publishing
ISBN: 1839106999
Category : Business & Economics
Languages : en
Pages : 579
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Book Description
A landmark reference work in the field, this Elgar Encyclopedia presents over 60 entries from scholars that have shaped the making of the economics of innovation as a distinct and specialised field of investigation within the broad range of economic disciplines. 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.
Author: John N. Thompson
Publisher: University of Chicago Press
ISBN: 0226797627
Category : Science
Languages : en
Pages : 456
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Book Description
Coevolution—reciprocal evolutionary change in interacting species driven by natural selection—is one of the most important ecological and genetic processes organizing the earth's biodiversity: most plants and animals require coevolved interactions with other species to survive and reproduce. The Geographic Mosaic of Coevolution analyzes how the biology of species provides the raw material for long-term coevolution, evaluates how local coadaptation forms the basic module of coevolutionary change, and explores how the coevolutionary process reshapes locally coevolving interactions across the earth's constantly changing landscapes. Picking up where his influential The Coevolutionary Process left off, John N. Thompsonsynthesizes the state of a rapidly developing science that integrates approaches from evolutionary ecology, population genetics, phylogeography, systematics, evolutionary biochemistry and physiology, and molecular biology. Using models, data, and hypotheses to develop a complete conceptual framework, Thompson also draws on examples from a wide range of taxa and environments, illustrating the expanding breadth and depth of research in coevolutionary biology.
Author: Evangelia Mitleton-Kelly
Publisher: Springer
ISBN: 3642366147
Category : Technology & Engineering
Languages : en
Pages : 289
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Book Description
As the interconnectivity between humans through technical devices is becoming ubiquitous, the next step is already in the making: ambient intelligence, i.e. smart (technical) environments, which will eventually play the same active role in communication as the human players, leading to a co-evolution in all domains where real-time communication is essential. This topical volume, based on the findings of the Socionical European research project, gives equal attention to two highly relevant domains of applications: transport, specifically traffic, dynamics from the viewpoint of a socio-technical interaction and evacuation scenarios for large-scale emergency situations. Care was taken to investigate as much as possible the limits of scalability and to combine the modeling using complex systems science approaches with relevant data analysis.
