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Title: | A social network analysis of the Spanish network of smart cities |
Author: | Serrano, Ivan Calvet-Mir, Laura Ribera-Fumaz, Ramon Díaz-Reviriego, Isabel March, Hug |
Others: | Universitat Oberta de Catalunya (UOC) |
Citation: | Serrano-Balaguer, I., Calvet-Mir, L., Ribera Fumaz, R., Díaz-Reviriego, I. & March, H. (2020). A social network analysis of the Spanish network of smart cities. Sustainability, 12(12), 1-13. doi: 10.3390/su12125219 |
Abstract: | This paper explores the relations of centrality and hierarchy between cities and firms implementing Smart City strategies in the context of the Spanish Network of Smart Cities (RECI). While the literature has usually focused on the global dimension of cities and firms networks, exploring a national case offers interesting insights about the presence of multinational firms in these contexts and the role played by medium-sized cities in their market expansion. The analysis is based on a two-mode network of cities and firms participating in Smart City projects with the usual measures of betweenness, in-degree and closeness, as well as computing the Gini index for each of them to assess the levels of inequality. We then explore whether the structural advantages of participating in these networks have a leveling effect or rather reinforce existing hierarchies of cities. Second, we explore how firms are intertwined in Smart City projects and whether medium-sized local firms have a relevant presence. Our findings suggest these networks become a regional gateway for multinational firms to expand their presence in Smart City national markets, rather than empowering medium-sized cities and small national firms. |
Keywords: | smart cities Spain networks firms |
DOI: | 10.3390/su12125219 |
Document type: | info:eu-repo/semantics/article |
Version: | info:eu-repo/semantics/publishedVersion |
Issue Date: | 26-Jun-2020 |
Publication license: | https://creativecommons.org/licenses/by/4.0/ |
Appears in Collections: | Articles Articles cientÍfics |
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sustainability-12-05219.pdf | 1,26 MB | Adobe PDF | View/Open |
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