In this paper we analyse the intensity and extent of agglomeration and coagglomeration of creative industries (CIs) in the metropolitan area of Barcelona (MAB). To do so, we use firm-level geo-located data to calculate distance-based M and m functions of agglomeration and co-agglomeration. Our results show that CIs are relatively more agglomerated than non-CIs at short distances, and that each individual CI sector displays high levels of agglomeration (especially symbolic-based sectors). Also, the co-agglomeration of CIs and Non-CIs is only observed for micro-firms and that there is significant co-agglomeration among symbolicbased CI sectors. Finally, we confirm the role of the city-centre of Barcelona as a magnet for CIs.JEL classification: R39, Z100
This paper focuses on the creative industries – those industries that produce and commercialise creative goods and services – and the role played by the existing spatial distribution and agglomeration economies of these kinds of activities in their location decisions. Our main statistical source is the Register of Manufacturing Establishments of Catalonia (REIC), which has plant-level microdata on the location of new plants. We use count data models to show that location determinants are quite similar in both creative and non-creative industries and that both industries are positively influenced by the specialisation level of creative industries. Moreover, our results provide evidence that an unobserved ‘ creative milieu’ has a considerable impact on attracting firms.
Since the adoption of the Sustainable Development Goals by the United Nations, sustainability has been a key priority for European governments. While previous studies have investigated the associations between indicators of sustainable development, few have directly considered a multidimensional approach to assess and compare the performance of regions in terms of sustainable development. As such, a comprehensive assessment of regional sustainable performance is thus still needed. In this paper, the concept of sustainability relies on the construction of six composite indices (environment and natural resources, energy transition, sustainable mobility, economic dynamism, social cohesion and solidarity, and governance and citizenship) with the aim to provide an evaluation framework for empirically comparing the performance of the 96 metropolitan French Departments. Each dimension is explored by spatial autocorrelation analysis and Hierarchical Ascending Classification (HAC) to classify French Departments providing five different regional profiles of sustainable development. The findings make it possible to identify the strengths and weaknesses of the departments in the implementation of sustainable development. This approach provides the bases for a systematic monitoring of sustainable development policies at the regional scale.
The present paper investigates the location patterns and the effects co-working spaces (CWS) generate on the urban context. The focus is on Barcelona, one of the most important creative hubs in Europe in terms of knowledge-based, creative, digital, and sharing economy, and the city hosting the largest number of co-working spaces in Spain. The paper addresses three main questions: (1) Which are the location patterns of co-working spaces in Barcelona? (2) Do CWS agglomerate in the same areas? And, (3) Do CWS coagglomerate with the creative industries (CIs)? To do that, this paper uses open data on Barcelona neighbourhoods' socioeconomic composition provided by the Statistics Department of the Council of Barcelona and micro-geographic data of private CWS and creative labs in Barcelona. By using Geographical Information Systems (GIS) and Kd functions of agglomeration and coagglomeration, results show that CWS are highly concentrated in central areas of Barcelona where there are greater chances to meet customers and suppliers, the proximity to urban amenities and the fact of being associated to a specific place-image. Moreover, they coagglomerate with CIs firms, especially with symbolic and synthetic knowledge-based CIs. These results are relevant when assessing the actual goal of urban policies in Barcelona.
This paper focuses on creative industries and the role played by the existing spatial distribution and agglomeration economies of these activities in relation to their entry decisions. We rely on employment and firm-level data in the creative industries (provided by INSEE) and compare the location of new establishments in the creative and non-creative industries between 2009 and 2013 in French departments (NUTS 3 regions). We use count data models and spatial econometrics to show that location determinants are rather similar in creative and non-creative industries and that specialisation in creative industries positively influences the entry of all other industries. The French case provides new insights to understand the geographical patterns of creative industries.
In recent years, scholars have highlighted the role of cities as incubators for start‐ups. Several studies identify the city of Barcelona as one of the major hubs in Europe for start‐up creation, especially in emergent industries. The present paper examines how local attributes, proximity to the elements of an entrepreneurial ecosystem (EE), and to nearby economic activity, influence the location of ambitious start‐ups in Barcelona between 2012 and 2015. To do this, we use micro‐geographic data of Barcelona start‐ups provided by the Catalan Government (ACCIÓ) and open data on the socioeconomic composition of Barcelona neighbourhoods from the Statistics Department of the Council of Barcelona. By dealing with neighbouring effects and endogeneity, our results suggest that localisation economies and proximity to the elements of the EE are the key factors attracting start‐ups to Barcelona's neighbourhoods. These results are crucial in helping policymakers understand the locational factors of start‐ups within the city.
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