1 Models and Simulations of GDP per Inhabitant Across Europe¿s Regions: A Preliminary View.- 2 An Exploratory Spatial Data Analysis of European Regional Disparities, 1980¿1995.- 3 A Spatial Econometric Analysis of Convergence Across European Regions, 1980¿1995.- 4 Spatial Convergence Clubs and the European Regional Growth Process,1980¿1995.- 5 Spatial Distance in a Technology Gap Model.- 6 The Spatial Distribution of Labour Productivity in the European Regions: A Study in Spatial Econometrics.- 7 Trade, Human Capital and Innovation: The Engines of European Regional Growth in the 1990s.- 8 The Technology Gap and European Regional Growth Dynamics.- 9 Employment Growth of Small Computing Services Firms and the Role of Horizontal Clusters: Evidence from Great Britain 1991¿2000.- 10 Externalities and Local Economic Growth in Manufacturing Industries.- 11 Regional Disparities in Income and Unemployment in Europe.- 12 Regional Growth in Western Europe: An Empirical Exploration of Interactions with Agriculture and Agricultural Policy.- 13 Explaining the Distribution of Manufacturing Productivity in the EU Regions.- Author Index.- Figures.- Tables.- Contributors.
Looking into the future and trying to visualize long-run regional disparities is difficult. There is no agreed single theory to guide our model building, although some insight can be gained from analysisofthe past and by looking at the differ ent theoretical positions to see if there is any agreement at least in terms of out come ifnot in terms of mechanism. This is what is attempted in this book, which brings together specialists with a common interest in European regional growth and in applying quantitative analytical and simulation techniques in order to pro vide different perspectives on the topic. Manyofthe Chapters in the book employ the methods of spatial econometrics. Spatial econometrics is a suite of statistical and econometric tools dedicated to the analysisofspatial data, in other words data that is set within the context of socio-econornic theories and which can be repre sented most informatively in mapped form. These methods have emerged over the last half-century from aseries of influential papers and books in the fields of re gional science, spatial statistics and quantitative geography, and are ripe for seri ous application in the context of the EU's development. In particular they provide the means by which to analyze spatially indexed data where the time dimension is essentially suppressed because, for instance the variables of interest are not avail able or are of questionable accuracy, which is often the case when one is inter ested in regional, rather than national, variations across a numberofcountries.