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The current dynamics in the Western European urban system are in marked contrast with the bourgeoning literature stressing the importance of agglomeration for economic growth. This paper explores whether this is due to the rise of 'city network economies', leading to processes of borrowed size as well as the rise of agglomeration shadows in networks of cities. The spread of metropolitan functions over Western European cities is analysed. It is found that network connectivity positively enhances the presence of metropolitan functions, but local size remains the most significant determinant for most types of functions. The importance of size and network connectivity differs across metropolitan functions and across cities. [ABSTRACT FROM AUTHOR]

The paper analyses the impact of domestic and international tourism on the economic growth process for 179 European regions. The econometric analysis is based on a spatial growth regression framework where the rate of GDP per capita growth at the regional level for the period 1999-2009 depends on tourism flows, in addition to the traditional growth variables. Besides controlling for initial conditions, we also include a wide set of covariates to account for the endowment of human and technological capital and for the geographical, social and institutional features of the regions. The results, confirmed by several robustness checks, demonstrate that regional growth is positively affected by domestic and international tourism. [ABSTRACT FROM AUTHOR]

The response by regional and national economies to exogenous impulses has a well-established literature in both spatial econometrics and in mainstream econometrics and is of considerable importance given the post-2007 economic crisis, which is characterized by a period of severe global instability resulting from unprecedented economic shocks. This paper focuses on dynamic counterfactual predictions and impulse-response functions derived from appropriate econometric models. These provide insight regarding the question of whether responses to economic shocks are transitory or whether they have a permanent effect. Analysis shows that output shocks have had permanent effects on productivity so that economies have tended not to return to the pre-shock path but rather adjust to new levels. This suggests that the current recession will be embodied permanently within the memory of some of Europe's leading economies as a hysteretic effect. [ABSTRACT FROM AUTHOR]

The economic growth literature suggests that knowledge spillovers are subject to distance decay effects. In this paper the main aim is to provide a theoretical framework and empirical evidence on the role played by other kinds of proximities, namely relational, social and technological proximity, in explaining productivity growth. Using a sample of 249 EU 27 NUTS 2 regions in the period 1990-2004, semiparametric spatial autoregressive models are estimated. Results provide evidence of a positive role of social and relational proximities as important channels of knowledge spillovers, and on the fact that, when simultaneously present, different kinds of proximities generate synergic effects on growth. Resumen La literatura sobre el crecimiento económico sugiere que los spillovers de conocimiento están sujetos a efectos de deterioro por distancia. El objetivo principal de este artículo es proporcionar un marco teórico y pruebas empíricas sobre el papel desempeñado por otros tipos de proximidades (relacional, social y tecnológica), a la hora de explicar el crecimiento de la productividad. Utilizando una muestra de 249 regiones NUTS 2 de la UE 27 para el período 1990-2004, se estiman modelos autorregresivos espaciales semiparamétricos. Los resultados aportan pruebas del papel positivo de las proximidades sociales y relacionales como canales importantes de spillovers de conocimientos, y del hecho de que, cuando se presentan simultáneamente, los diferentes tipos de proximidades generan efectos sinérgicos sobre el crecimiento. [ABSTRACT FROM AUTHOR]

This paper provides a spatial neoclassical growth model for a system of N regional economies. Regional output growth is determined by interregional fixed capital relocations which depend on initial factor endowments as well as a region's relative location in space. The dynamics of the model are captured by a Taylor approximation, which provides a testable spatial econometric model specification that is applied for European regions on the NUTS 2 level. Both theoretical and empirical results show how relatively high human capital endowments are beneficial to growth if found within one region, but disadvantageous if found in neighbouring regions. Este artículo proporciona un modelo de crecimiento neo-clásico espacial para un sistema de N economías regionales. El crecimiento del producto regional viene determinado por deslocalizaciones interregionales de capital fijo que dependen de la dotación de factores inicial, así como de la relativa localización espacial de una región. Las dinámicas del modelo son capturadas mediante una aproximación de Taylor, que proporciona una especificación comprobable de modelo econométrico espacial que se aplica a regiones europeas a nivel NUTS 2. Tanto los resultados teoréticos como los empíricos muestran como las dotaciones relativamente elevadas de capital humano son ventajosas para el crecimiento cuando se concentran en una región, pero una desventaja si se encuentran en regiones vecinas. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to shed light on the controversial issue of regional development incentives. Although extensive research has been conducted, a review of the literature gives an inconclusive answer to whether economic incentives are effective. Why do researchers arrive at different conclusions, even after analysing the same programmes? Among the problems that we find, for example, is the fact that for some researchers ‘effective’ means the significant location of new firms in targeted areas, while for others the creation of jobs regardless of whether new firms are arriving in a significant fashion. Furthermore, as we elaborate, the selection of an econometric model will have a significant impact on expected results. Different models, with different limitations, will lead researchers to evaluate the same incentive programme but arrive at different conclusions regarding its effectiveness. The contribution of the paper is to inform policymakers about the potential opportunities and pitfalls when designing incentive strategies. This is particularly relevant, given that both the US and Europe have been promoting incentives as a tool for regional economic development. [ABSTRACT FROM AUTHOR]

ABSTRACT Aim This paper identifies socio-economic driving forces of biodiversity change and analyses their political and economic dynamics by modelling socio-economic parts of three scenario storylines developed for the ALARM (assessing large-scale risks for biodiversity with tested methods) project. In the BAMBU (business-as-might-be-usual) scenario policy decisions already made in the European Union (EU) are implemented and enforced, but no additional measures are introduced. The GRAS (growth applied strategy) scenario describes a future world orientated towards economic growth and complete deregulation. And finally, SEDG (sustainable European development goal) is a normative scenario focusing on the achievement of sustainable development. Methods The GINFORS (global inter-industry forecasting system) model is applied to quantify the effects of different sets of policy measures representing the three scenarios. It allows investigation of the inter-relations between socio-economic driving forces and the state of the environment. Results The presented results for the 25 EU countries focus on the following variables: unemployment, material extraction, energy supply and CO2 emissions. The lowest amount of unemployment is in the SEDG scenario, where it steadily decreases from 2005 to 2020. In BAMBU it falls to a level that is also below that of 2005. In GRAS, the number of unemployed people in 2020 is clearly over the value of 2005. The development of total material extraction from 2005 to 2020 is nearly stable in BAMBU, while it clearly increases in GRAS. Only in SEDG is there a reduction in resource use. None of the scenarios achieves a substantial reduction in energy use. However, the development of CO2 emissions shows a decoupling from energy supply. For BAMBU there is a slight decline in CO2 emissions over time, for GRAS they increase but with a slightly smaller growth rate than energy supply. In SEDG the emissions are reduced. The decoupling trends can be explained by a shift to more renewable energy sources in all scenarios, with the highest share in SEDG. Main conclusions The results indicate that a growth-oriented policy design, such as presented in the GRAS scenario, is not compatible with the conservation of biodiversity. Only in the SEDG scenario do the policy measures support the idea of a sustainable development, but in some respects they are still not ambitious enough. [ABSTRACT FROM AUTHOR]

In this article a semiparametric spatial Durbin model is employed to analyse the growth behaviour of 155 European regions in the period 1988–2000. This specification combines the semiparametric approach with the usual parametric spatial econometric technique to accommodate both spatial dependence and nonlinearities as suggested by recent neoclassical growth models with spatial technological interdependence. The results provide evidence of nonlinearities in the effect of initial per capita incomes and human capital investments. Moreover, the specification used allows identifying the effect of the interaction between the characteristics (initial conditions and structural variables) of each region and those of its neighbours. Finally, it shows some indication of global spillovers across-country and local spatial spillovers from domestic neighbours. Resumen En este artículo se emplea un modelo semiparamétrico espacial de Durbin para analizar el comportamiento del crecimiento de 155 regiones europeas durante el periodo 1988–2000. Esta especificación combina el enfoque semiparamétrico con técnicas econométricas espaciales paramétricas habituales para reconciliar la dependencia espacial y las no linealidades, tal y como sugieren los modelos de crecimiento neoclásicos recientes con interdependencia tecnológica espacial. Los resultados ofrecen pruebas de no linealidades en el efecto de ingresos per capita iniciales e inversiones en capital humano. Además, la especificación utilizada permite utilizar el efecto de la interacción entre las características (condiciones iniciales y variables estructurales) de cada región y las de sus vecinos. Finalmente, da una idea de spillovers (efectos de derrame) globales entre países y spillovers espaciales locales de regiones vecinas dentro del país. [ABSTRACT FROM AUTHOR]