The aim of this paper is to provide basic stylized facts about the spatial patterns of location and co‐location of clusters of creative industries in Europe. The research proposes a novel methodology for detailing the spatial delimitation of clusters, based on a geo‐statistical algorithm and firm‐based micro‐data. The procedure is applied to a continuous space of 16 European countries and 15 creative industries in 2009. The investigation reveals that creative firms are highly clustered, and that clusters are concentrated in a ‘creative belt’ stretching from the South of England to the South‐east of Germany. These clusters are predominantly metropolitan, heterogeneous, cross borders, and may co‐locate to form assemblages.

This paper examines the existence of regional agglomerations of manufacturing, service and creative industries, the relationship between these industries and the wealth of regions and their industrial structure. Through an analysis of 250 European regions, three important conclusions can be inferred from the results obtained in this paper. The first is that creative industries play an important role in the wealth of a region. The second is that the most creative regions are characterized by having more high-tech manufacturing industries than the rest of the regions although the number of low-tech manufacturing firms is similar. Lastly, the industrial structure of each region has a greater influence on regional wealth than the existence of industrial agglomerations. The importance of this paper resides in the fact that up until now no analysis has demonstrated that creative industries are the most important industries in regional wealth.

This paper compares the total impact of cultural and creative industries (CCIs) on per capita income of countries, regions and municipalities. We estimate the total effects of CCIs in 78 developed and developing countries in 5 continents, in 275 European regions and in 518 municipalities in the European region of Valencia, using data obtained from multiple databases and nonparametric local linear least squares. The average effects of CCIs are positive in the three territorial scales, in both low- and high-income locations, and increase in conjunction with increases in development, with high and very high developed places showing greater impacts. CCIs are, thus, a powerful resource for improving the well-being of rich and poor places at all geographic scales; however, they also act as a double-edged sword, as they increase inequalities between places.

The objective of this study is two-fold: on the one hand, to determine whether literature has studied the relationship between intangible heritage and gastronomy; on the other, we have explored the use of UNESCO-recognized elements for marketing purposes. Two research questions have been addressed: (a) Is there a specific definition of gastronomy as intangible heritage? and (b) can the UNESCO-recognized elements be used for marketing purposes? We have used a method that combines content analysis and network analysis via the identification and study of keywords. The results showed a definition of gastronomy as intangible world heritage would be required. We have also observed that the use of the UNESCO-recognized elements, for marketing purposes, could be an opportunity for differentiating place’s identity.