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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]

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]

Geographical clustering of economic activity and business firms was first incisively and extensively analyzed by in his seminal text on economics (1890). However, ) remains the paradigm model for cluster formation in modern economies. Developments in the economics of geography, institutional economics, and strategic management indicate that Porter's and others' models of cluster formation may be incomplete. The Global Economic Management System (GEMS) model of cluster formation and sustainability extends scholarly work in this area by outlining a comprehensive model of cluster formation and testing its robustness against data collected from a sample of global cluster managers. The results indicate the significance of a number of hitherto ignored factors in cluster success and provide guidelines for policy makers, cluster managers, and international firm managers for location decisions and cluster formation. [ABSTRACT FROM AUTHOR]

Because the economy is not found as an empirical object among other worldly things, in order for it to be ‘seen’ by the human perceptual apparatus it has to undergo a process, crucial for science, of representational mapping. This is doubling, but with a difference; the map shifts the point of view so that viewers can see the whole as if from the outside, in a way that allows them, from a specific position inside, to find their bearings. ( Buck-Morss 1995 , 440) [ABSTRACT FROM AUTHOR]

The article presents the World Bank's 2009 World Development Report (WDR), which focuses on the spatial transformations that must happen for countries to develop. It discusses several concerns and social issues to be considered in reshaping economic geography. Moreover, the report provides several argumentation on re-energizing geography's place in understanding economic and human development.

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]