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The new economic geography (NEG) has become a mainstay of regional science in the last two decades, as signified by the awarding of Paul Krugman, the Nobel Prize. Yet, most American regional scientists and urban/regional economists do not use NEG in determining regional growth patterns. Instead, they rely on factors such as natural amenity migration, whose roots lie back to the work of Philip Graves in the mid 1970s. Conversely, two of the world's leading economic geographers – Allen Scott and Michael Storper – have strongly argued that job availability not household amenities have determined US regional dynamics. Given the disparity of views over the largest developed economy in the world, we hold a competition to determine which of these leading contenders accurately predict US interregional growth dynamics over the last 40–60 years. The runaway winner of the duel is natural amenity led growth with the crown going to Graves. Implications are drawn for both empirical research and EU economic integration. [ABSTRACT FROM AUTHOR]

This study develops an economic growth model with residential distribution. The model synthesises the main ideas in the Solow-Uzawa growth model, the Alonso urban model, and the Muth housing model with perfect competition in all the markets, by proposing an alternative approach to household behaviour. We show that economic growth with the economic geography is governed by a single differential equation and analyse dynamic behaviour of the model. For explanation, we simulate the model over time and space. Resumen. Este estudio desarrolla un modelo de crecimiento económico con distribución residencial. El modelo sintetiza las ideas principales del modelo de crecimiento de Solow-Uzawa, el modelo urbano de Alonso, y el modelo de vivienda de Muth con una competencia perfecta en todos los mercados, por medio de proponer un enfoque alternativo al comportamiento de hogares. Mostramos que el crecimiento económico con la geografía económica está gobernado por una única ecuación diferencial y analizamos el comportamiento dinámico del modelo. A modo de explicación, realizamos una simulación del modelo en el tiempo y en el espacio. [ABSTRACT FROM AUTHOR]

The theory of endogenous growth and the geography and growth synthesis both consider that local growth and spatial concentration of economic activities emanate from localised knowledge spillovers ( Lucas 1988 ; Martin and Ottaviano 1999 ). Since the end of the 1980's, the spatial dimension of knowledge diffusion has been investigated from an empirical point of view, and the existence and role of local spillovers has been generally confirmed (see among others Jaffe 1989 ; Audretsch and Feldman 1996 ). The concern that now arises is to unravel the mechanisms underlying and explaining the geographical knowledge spillovers. The aim of this special issue is to present the latest new findings on such questions and to identify some new lines of research for future work. Before presenting the content of this special issue, we very briefly review the main results of the empirical literature on the geography of innovation. We also explain the context of this special issue by pointing out some of the limitations faced by this literature and, by stressing the complex dynamic and network dimensions of the observed processes of production and diffusion of knowledge. [ABSTRACT FROM AUTHOR]

This article presents an overview of the recent development in the new economic geography (NEG), and discusses possible directions of its future development. Since several surveys on this topic already exist, we focus on the selected features of NEG which are important yet have attracted insufficient attention, and also on the recent refinements and extensions of the framework. [ABSTRACT FROM AUTHOR]

In the present article we propose a spatial micro econometric approach for studying the geographical concentration of economic activities. We analyse the incentives to use this approach rather than the traditional one based on regional aggregates. As an example, we present our prototypical theoretic model – to be seen as a continuous space version of Krugman's concentration model – that includes birth, survival and growth components. We present a numerical estimation of the birth model for a set of data referring to the concentration of the manufacturing industries in the San Marino Republic. [ABSTRACT FROM AUTHOR]