Maps capture data expressing the economic complexity of countries from Albania to Zimbabwe, offering current economic measures and as well as a guide to achieving prosperity Why do some countries grow and others do not? The authors of The Atlas of Economic Complexity offer readers an explanation based on "Economic Complexity," a measure of a society's productive knowledge. Prosperous societies are those that have the knowledge to make a larger variety of more complex products. The Atlas of Economic Complexity attempts to measure the amount of productive knowledge countries hold and how they can move to accumulate more of it by making more complex products. Through the graphical representation of the "Product Space," the authors are able to identify each country's "adjacent possible," or potential new products, making it easier to find paths to economic diversification and growth. In addition, they argue that a country's economic complexity and its position in the product space are better predictors of economic growth than many other well-known development indicators, including measures of competitiveness, governance, finance, and schooling. Using innovative visualizations, the book locates each country in the product space, provides complexity and growth potential rankings for 128 countries, and offers individual country pages with detailed information about a country's current capabilities and its diversification options. The maps and visualizations included in the Atlas can be used to find more viable paths to greater productive knowledge and prosperity.

This comprehensive and innovative Handbook applies the tools of the economics of complexity to analyse 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.

This book redesigns environmental governance for a sustainability transition, helping academics and decision-makers truly understand the socio-economic impacts of policy.

A collection of previous published papers by the author on the subject of complexity economics, appearing from the 1980s to the present.

This book combines the human development approach and innovation economics in order to explore the effects that structural economic change has on human development. While economic diversification can provide valuable new social choices and capabilities, it also tends to lead to more complex decision processes and changes to the set of capabilities required by people to self-determine their future. Within this process of structural transformation, social networks are crucial for accessing information and social support, but networks can also be a root cause of exclusion and inequality reproduction. This implies the need to encourage innovation and economic diversification beyond production expansion, focusing on the promotion of human agency and social inclusion. This book provides such a modern perspective on development economics, emphasizing the role of social networks, economic diversity and entrepreneurship for social welfare. The author discusses how innovation, social networks, economic dynamics and human development are interlinked, and provides several practical examples of social and micro-entrepreneurship in contexts as diverse as Peruvian rural villages and Brazil’s urban areas. The interdisciplinary perspective put forward in this book illustrates theoretical and methodological methods of exploring the complexity of development in a practical and relevant way. It also provides useful information about structural factors which need to be considered by practitioners when designing pro-poor growth policies. Furthermore, the coverage of the core concepts of innovation, networks and development economics, enriched with multiple examples, makes it a valuable resource for scholars and advanced students of modern development economics.

Soaring income inequality and unemployment, expanding populations of the displaced and imprisoned, accelerating destruction of land and water bodies: today’s socioeconomic and environmental dislocations cannot be fully understood in the usual terms of poverty and injustice, according to Saskia Sassen. They are more accurately understood as a type of expulsion—from professional livelihood, from living space, even from the very biosphere that makes life possible. This hard-headed critique updates our understanding of economics for the twenty-first century, exposing a system with devastating consequences even for those who think they are not vulnerable. From finance to mining, the complex types of knowledge and technology we have come to admire are used too often in ways that produce elementary brutalities. These have evolved into predatory formations—assemblages of knowledge, interests, and outcomes that go beyond a firm’s or an individual’s or a government’s project. Sassen draws surprising connections to illuminate the systemic logic of these expulsions. The sophisticated knowledge that created today’s financial “instruments” is paralleled by the engineering expertise that enables exploitation of the environment, and by the legal expertise that allows the world’s have-nations to acquire vast stretches of territory from the have-nots. Expulsions lays bare the extent to which the sheer complexity of the global economy makes it hard to trace lines of responsibility for the displacements, evictions, and eradications it produces—and equally hard for those who benefit from the system to feel responsible for its depredations.

Today it appears that we understand more about the universe than about our interconnected socio-economic world. In order to uncover organizational structures and novel features in these systems, we present the first comprehensive complex systems analysis of real-world ownership networks. This effort lies at the interface between the realms of economics and the emerging field loosely referred to as complexity science. The structure of global economic power is reflected in the network of ownership ties of companies and the analysis of such ownership networks has possible implications for market competition and financial stability. Thus this work presents powerful new tools for the study of economic and corporate networks that are only just beginning to attract the attention of scholars.

This book provides a useful introduction to evolutionary economics. Adam Gifford, Journal of Bioeconomics With this important collection of fine new papers, Foster and Metcalfe have brought together another volume that will make an impact on the newly unfolding science-of-complexity approach to economics. Ranging from the theoretical foundations to modeling tools and concrete empirical applications, the contributions cover all relevant areas. The reader is being offered exciting new views on variety generating and selecting mechanisms in the economy and their role for technological and commercial change. Ulrich Witt, Max Planck Institute, Jena, Germany Dedicated to the goal of furthering evolutionary economic analysis, this book provides a coherent scientific approach to deal with the real world of continual change in the economic system. Expansive in its scope, this book ranges from abstract discussions of ontology, analysis and theory to more practical discussions on how we can operationalize notions such as capabilities from what we understand as knowledge . Simulation techniques and empirical case studies are also used. Sharpening the focus of the relationship between economic evolution and economic complexity, the book will be of great interest to academics, students and researchers of evolutionary economics.

This book presents a survey of the aspects of economic complexity, with a focus on foundational, interdisciplinary ideas. The long-awaited follow up to his 2011 volume Complex Evolutionary Dynamics in Urban-Regional and Ecologic-Economic Systems: From Catastrophe to Chaos and Beyond, this volume draws together the threads of Rosser’s earlier work on complexity theory and its wide applications in economics and an expanded list of related disciplines. The book begins with a full account of the broader categories of complexity in economics--dynamic, computational, hierarchical, and structural--before shifting to more detailed analysis. The next two chapters address problems associated with computational complexity, especially those of computability, and discuss the Godel Incompleteness Theorem with a focus on reflexivity. The middle chapters discuss the relationship between entropy, econophysics, evolution, and economic complexity, respectively, with applications in urban and regional dynamics, ecological economics, general equilibrium theory, as well as financial market dynamics. The final chapter works to bring together these themes into a broader framework and expose some of the limits concerning analysis of deeper foundational issues. With applications in all disciplines characterized by interconnected nonlinear adaptive systems, this book is appropriate for graduate students, professors and practitioners in economics and related disciplines such as regional science, mathematics, physics, biology, environmental sciences, philosophy, and psychology.

A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.