C14, F01,

The need for a better understanding of the role location plays in economic life was first and most famously made explicit by Bertil Ohlin in 1933. However it is only recently, with the development of computer packages able to handle complex systems, as well as advances in economic theory (in particular an increased understanding of returns to scale and imperfect competition), that Ohlin's vision has been met and a framework developed which explains the distribution of economic activity across space. This book is an integrated, non-mathematical, first-principles textbook presenting geographical economics to advanced students. Never avoiding advanced concepts, its emphasis is on examples, diagrams, and empirical evidence, making it the ideal starting point prior to monographic and journal material. Contains copious computer simulation exercises, available in book and electronic format to encourage learning and understanding through application. Uses case study material from North America, Europe, Africa and Australasia.

Geographical economics starts from the observation that economic activity is clearly not randomly distributed across space. This revised and updated introduction to geographical economics uses the modern tools of economic theory to explain the who, why and where of the location of economic activity. The text provides an integrated, first-principles introduction to geographical economics for advanced undergraduate students and first-year graduate students, and has been thoroughly revised and updated to reflect important developments in the field, including new chapters on alternative core models and policy implications. It presents a truly global analysis of issues in geographical economics using case studies from all over the world, including North America, Europe, Africa and Australasia, and contains many computer simulations and end-of chapter exercises to encourage learning and understanding through application.

We offer a general-equilibrium economic approach to Zipf 's Law or, more generally, the rank-size distribution-the striking empirical regularity concerning the size distribution of cities. We provide some further understanding of Zipf 's Law by incorporating negative feedbacks (congestion) in a popular model of economic geography and international trade. This model allows the powers of agglomeration and spreading to be in long-run equilibrium, which enhances our understanding of the existence of a rank-size distribution of cities.

Using a novel data set for 207 European regions from 22 different countries, we analyse the relevance of urbanisation for the short-term resilience to a major shock. We take the Great Recession, the economic and financial crisis that started in 2008, as our shock and analyse how the European NUTS 2 regions differ in their short-run resilience in the aftermath to the crisis in terms of unemployment and real GDP per capita. We find that the degree and nature of regional urbanisation is important for resilience. EU regions with a relatively large share of the population in commuting areas are relatively more resilient. In addition, regions with a large output share in medium-high tech industries were also less affected by the crisis.