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This paper investigates whether related variety, among other types of spatial externalities, affected regional growth in Spain at the NUTS 3 level during the period 1995-2007. We found evidence that related variety matters for growth across regions, especially when using two new methods that measure revealed relatedness between industries. The first method is based on Porter's cluster classification while the second method uses the proximity index proposed by Hidalgo et al. Our analyses show that Spanish provinces with a wide range of related industries tend to show higher economic growth rates, once we control for other determinants of growth. Este artículo investiga si la variedad relacionada, entre otros tipos de externalidades espaciales, afectó el crecimiento regional en España a nivel NUTS 3 durante el periodo 1995-2007. Hallamos pruebas de que la variedad relacionada influye en el crecimiento entre regiones, especialmente al utilizar dos métodos nuevos que miden el grado de conexión manifiesto entre industrias. El primer método está basado en la clasificación de conglomerados de Porter, mientras que el segundo método utiliza el índice de proximidad propuesto por Hidalgo et al. Nuestros análisis muestran que las provincias españolas con un amplio rango de industrias relacionadas tienden a mostrar tasas de crecimiento económico más altas, una vez que se logra controlar otros factores determinantes del crecimiento. [ABSTRACT FROM AUTHOR]

The aim of this research was to study the influence of related variety on the economic performance of Spanish provinces during the international crisis (2009–2013) and the post‐crisis period (2014–2018), with the goal of contributing to assess the validity of the skill‐relatedness approach. The research is based on labor flows in a sample of more than one million affiliated workers. Our results confirmed the influence of related variety on the growth of GDP and employment in knowledge‐based industries, in protecting against unemployment, as well as on the creation of new firms, although with marked differences according to the economic cycle. Robustness issues and possible lines of progress using this novel methodology are also discussed. [ABSTRACT FROM AUTHOR]

Determination of optimal population densities underlies the economic rationality when planning the provision of basic public infrastructure by local governments. Using econometric techniques based on the translog cost function, we investigate the existence of economies of scale, associated to a larger urban size in terms of population and housing, determine the effect of alternative urban patterns - compact or dispersed - on the cost of provision, and calculate optimal population densities as targets for urban planning. We illustrate the practicality of our model using Spanish municipal data, and unveil latent economies of scale and suboptimal urban densities due to excessive dispersion. Based on these findings we propose specific policy guidelines in terms of desirable urban structures. [ABSTRACT FROM AUTHOR]