The authors show how a common approach that emphasizes the three-way interaction among increasing returns, transportation costs, and the movement of productive factors can be applied to a wide range of issues in urban, regional, and international economics. Since 1990 there has been a renaissance of theoretical and empirical work on the spatial aspects of the economy—that is, where economic activity occurs and why. Using new tools—in particular, modeling techniques developed to analyze industrial organization, international trade, and economic growth—this "new economic geography" has emerged as one of the most exciting areas of contemporary economics. The authors show how seemingly disparate models reflect a few basic themes, and in so doing they develop a common "grammar" for discussing a variety of issues. They show how a common approach that emphasizes the three-way interaction among increasing returns, transportation costs, and the movement of productive factors can be applied to a wide range of issues in urban, regional, and international economics. This book is the first to provide a sound and unified explanation of the existence of large economic agglomerations at various spatial scales.

With the dawn of the twenty-first century comes the awareness that current rapid political-economic-social and technological transformations will affect our of living, by producing new forms of information, communications, common way market, work-style and leisure. In this context, human behaviour will certainly change its 'fixed' parameters. It is likely that the relationships between internal structures and external influences, between individual components and collective behaviour, as well as between multi-scale networks and interrelated dynamics, will show spatio-temporal patterns which will be difficult to predict by means of our usual tools. As a consequence, academic research is increasingly being required to play an active role in addressing new ways of understanding and forecasting the sets of interacting structures, ranging from the technical to the organizational, and from the social to the economic and political levels, while at the same time incorporating concerns about the 'new' economy, environment, society, information and technology. It is now evident that social science - especially spatial and economic scienc- needs innovative 'paths', together with continuous cross-fertilization among the many disciplines involved. In order to investigate these intriguing perspectives, we seem to have embarked on an era of methodological reflections - rather than developing strong theoretical foundations. This volume aims to provide an overview of these new insights and frontiers for theoretical/methodological studies and research applications in the space-economy.

This book brings together a collection of innovative papers on strategies for analyzing the spatial and economic impacts of disasters. Natural and human-induced disasters pose several challenges for conventional modeling. For example, disasters entail complex linkages between the natural, built, and socio-economic environments. They often create chaos and economic disequilibrium, and can also cause unexpected long-term, structural changes. Dynamic interactions among agents and behavioral adjustments in a disaster become complicated. The papers in this volume make notable progress in tackling these challenges through refinements of conventional methods, as well as new modeling frameworks and multidisciplinary, integrative strategies. The papers also provide case study applications that afford new insights on disaster processes and loss reduction strategies.

This book is open access under a CC BY-NC 4.0 license. This collected volume represents the final outcome of the COST Action IS1104 “The EU in the new complex geography of economic systems: models, tools and policy evaluation”. Visualizing the EU as a complex and multi-layered network, the book is organized in three parts, each of them dealing with a different level of analysis: At the macro-level, Part I considers the interactions within large economic systems (regions or countries) involving trade, workers migration, and other factor movements. At the meso-level, Part II discusses interactions within specific but wide-ranging markets, with a focus on financial markets and banking systems. Lastly, at the micro-level, Part III explores the decision-making of single firms, especially in the context of location decisions.

World-renowned experts in spatial statistics and spatial econometrics present the latest advances in specification and estimation of spatial econometric models. This includes information on the development of tools and software, and various applications. The text introduces new tests and estimators for spatial regression models, including discrete choice and simultaneous equation models. The performance of techniques is demonstrated through simulation results and a wide array of applications related to economic growth, international trade, knowledge externalities, population-employment dynamics, urban crime, land use, and environmental issues. An exciting new text for academics with a theoretical interest in spatial statistics and econometrics, and for practitioners looking for modern and up-to-date techniques.

This open access book is the first to systematically introduce the principles of urban informatics and its application to every aspect of the city that involves its functioning, control, management, and future planning. It introduces new models and tools being developed to understand and implement these technologies that enable cities to function more efficiently – to become ‘smart’ and ‘sustainable’. The smart city has quickly emerged as computers have become ever smaller to the point where they can be embedded into the very fabric of the city, as well as being central to new ways in which the population can communicate and act. When cities are wired in this way, they have the potential to become sentient and responsive, generating massive streams of ‘big’ data in real time as well as providing immense opportunities for extracting new forms of urban data through crowdsourcing. This book offers a comprehensive review of the methods that form the core of urban informatics from various kinds of urban remote sensing to new approaches to machine learning and statistical modelling. It provides a detailed technical introduction to the wide array of tools information scientists need to develop the key urban analytics that are fundamental to learning about the smart city, and it outlines ways in which these tools can be used to inform design and policy so that cities can become more efficient with a greater concern for environment and equity.

Spatial econometrics deals with spatial dependence and spatial heterogeneity, critical aspects of the data used by regional scientists. These characteristics may cause standard econometric techniques to become inappropriate. In this book, I combine several recent research results to construct a comprehensive approach to the incorporation of spatial effects in econometrics. My primary focus is to demonstrate how these spatial effects can be considered as special cases of general frameworks in standard econometrics, and to outline how they necessitate a separate set of methods and techniques, encompassed within the field of spatial econometrics. My viewpoint differs from that taken in the discussion of spatial autocorrelation in spatial statistics - e.g., most recently by Cliff and Ord (1981) and Upton and Fingleton (1985) - in that I am mostly concerned with the relevance of spatial effects on model specification, estimation and other inference, in what I caIl a model-driven approach, as opposed to a data-driven approach in spatial statistics. I attempt to combine a rigorous econometric perspective with a comprehensive treatment of methodological issues in spatial analysis.