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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.
The uneven geographical distribution of economic activities is a huge challenge worldwide and also for the European Union. In Krugman’s New Economic Geography economic systems have a simple spatial structure. This book shows that more sophisticated models should visualise the EU as an evolving trade network with a specific topology and different aggregation levels. At the highest level, economic geography models give a bird eye’s view of spatial dynamics. At a medium level, institutions shape the economy and the structure of (financial and labour) markets. At the lowest level, individual decisions interact with the economic, social and institutional environment; the focus is on firms’ decision on location and innovation. Such multilevel models exhibit complex dynamic patterns – path dependence, cumulative causation, hysteresis – on a network structure; and specific analytic tools are necessary for studying strategic interaction, heterogeneity and nonlinearities.
This book redesigns environmental governance for a sustainability transition, helping academics and decision-makers truly understand the socio-economic impacts of policy.
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.
The internationally-renowned contributors to this book examine the causes and consequences of complexity among the broadly economic phenomena of firms, industries and socio-economic policy. They make a valuable contribution to the increasingly prominent subject of complexity, especially for those whose interests include evolutionary, behavioral, political and social approaches to understanding economics and economic phenomena.
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.
"Hidalgo has made a bold attempt to synthesize a large body of cutting-edge work into a readable, slender volume. This is the future of growth theory." -- Financial Times What is economic growth? And why, historically, has it occurred in only a few places? Previous efforts to answer these questions have focused on institutions, geography, finances, and psychology. But according to MIT's antidisciplinarian Cér Hidalgo, understanding the nature of economic growth demands transcending the social sciences and including the natural sciences of information, networks, and complexity. To understand the growth of economies, Hidalgo argues, we first need to understand the growth of order. At first glance, the universe seems hostile to order. Thermodynamics dictates that over time, order-or information-disappears. Whispers vanish in the wind just like the beauty of swirling cigarette smoke collapses into disorderly clouds. But thermodynamics also has loopholes that promote the growth of information in pockets. Although cities are all pockets where information grows, they are not all the same. For every Silicon Valley, Tokyo, and Paris, there are dozens of places with economies that accomplish little more than pulling rocks out of the ground. So, why does the US economy outstrip Brazil's, and Brazil's that of Chad? Why did the technology corridor along Boston's Route 128 languish while Silicon Valley blossomed? In each case, the key is how people, firms, and the networks they form make use of information. Seen from Hidalgo's vantage, economies become distributed computers, made of networks of people, and the problem of economic development becomes the problem of making these computers more powerful. By uncovering the mechanisms that enable the growth of information in nature and society, Why Information Grows lays bear the origins of physical order and economic growth. Situated at the nexus of information theory, physics, sociology, and economics, this book propounds a new theory of how economies can do not just more things, but more interesting things.
A collection of previous published papers by the author on the subject of complexity economics, appearing from the 1980s to the present.
The Microeconomics of Complex Economies uses game theory, modeling approaches, formal techniques, and computer simulations to teach useful, accessible approaches to real modern economies. It covers topics of information and innovation, including national and regional systems of innovation; clustered and networked firms; and open-source/open-innovation production and use. Its final chapter on policy perspectives and decisions confirms the value of the toolset. Written so chapters can be used independently, the book includes an introduction to computer simulation and pedagogical supplements. Its formal, accessible treatment of complexity goes beyond the scopes of neoclassical and mainstream economics. The highly interdependent economy of the 21st century demands a reconsideration of economic theories. - Describes the usefulness of complex heterodox economics - Emphasizes divergences and convergences with neoclassical economic theories and perspectives - Fits easily into courses on intermediate microeconomics, industrial organization, and games through self-contained chapters
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.