Contexts in source publication

Context 1
... accounts for 51% and 9% of the Catalan and Spanish GDP, respectively. The MAB is composed of 36 municipalities (see Table A (Annex) and Figure 1), of which its capital (Barcelona) accounts for 50% of the population of the whole area. SABI contains comprehensive information on firms in Spain, detailed by firms' geographical information (plain coordinates), employment, and among others characteristics at the 3-digit NACE level. ...
Context 2
... is significant coagglomeration, if and when, both symmetric cases exceed the significance bands. Then, the first conclusion we can draw is that CIs and Non-CIs do not colocate However when we calculate inter-industry M functions for CIs by size (in terms of number of workers) we find some interesting facts (see Figure 10). On the one hand, previous results are confirmed by obtaining not significant results for the coagglomeration of CIs and Non-CIs for the cases of small, medium and large subsamples. ...
Context 3
... INSERT FIGURE 10 HERE] Despite the forcefulness of previous results, it could be interesting to analyse the coagglomeration patterns of particular CIs' sectors. Figure 11 shows inter-industry significant M functions results for selected CIs. 12 Results for significant inter-industry concentration can also be found in Table 3. ...

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... In the economic geography literature, the focus is primarily put on the location patterns of the CCIs (Comunian et al., 2010;Boix et al., 2015;Coll-Martínez et al., 2019b), the impact of CCIs clusters on firm creation and performance (De Jong et al., 2007;Piergiovanni et al., 2012;Coll-Martínez and Arauzo-Carod, 2017;Coll-Martínez, 2019a;Cruz and Teixeira, 2021;Cruz and Teixeira, 2023), and innovation and growth (Bakhshi and McVittie, 2009;Lee and Rodríguez-Pose, 2014;Innocenti and Lazzeretti, 2019). Most of these contributions agree that there are strong inter-industry linkages between creative and non-creative industries that enhance the positive e↵ects of the former over the latter. ...
... Providing such a framework that enables a skills-based approach for CCI research is particularly valuable as it might be empirically integrated into several crucial debates on the potential that CCIs have for fostering creativity and innovation at the regional level. First, a skills-based approach may help to improve the measurement of spillovers arising from the agglomeration of the CCIs and their co-location with other key sectors (STAM) (Cunningham and Potts, 2015;Coll-Martínez et al., 2019b;Rodríguez-Pose and Lee, 2020) given that cognitive distance among industries is reflected on the skills and knowledge of their workforce. Second, since the production activities of the CCIs seem to require diverse and specialised skill sets and knowledge (Turok, 2003), this approach may help to identify the skill composition of the CCIs in regional labour markets that contribute to the set-up of regional diversification strategies (Clifton et al., 2015;Cooke and De Propris, 2014). ...
... The CCI skills are expected to di↵er significantly by region due to the uneven distribution of CCIs across space which is widely analysed by the cluster studies (Boix, 2012 ;Gong and Hassink, 2017;Coll-Martínez et al., 2019b). To briefly document the variation of the CCI skills across Italian regions, we first create a measure of the average CCI skills (CCI Skills) by region (p) and time (t) as follows. ...
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