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In this paper, we cluster spatial economic activities through a multi-scalar approach making use of percolation theory. We consider both the industrial similarity and the geographical proximity between firms, through their joint probability function which is constructed as a copula. This gives rise to an emergent nested hierarchy of geoindustrial clusters, which enables us to analyse the relationships between the different scales, and specific industrial sectors. Using longitudinal business microdata from the Office for National Statistics, we look at the evolution of clusters which spans from very local groups of businesses to the metropolitan level, in 2007 and in 2014, so that the changes stemming from the financial crisis can be observed.<\/jats:p>","DOI":"10.1007\/s41109-019-0246-9","type":"journal-article","created":{"date-parts":[[2020,1,7]],"date-time":"2020-01-07T15:03:33Z","timestamp":1578409413000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["The nested structure of urban business clusters"],"prefix":"10.1007","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2452-3901","authenticated-orcid":false,"given":"Cl\u00e9mentine","family":"Cottineau","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elsa","family":"Arcaute","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,1,7]]},"reference":[{"issue":"4","key":"246_CR1","doi-asserted-by":"publisher","first-page":"363","DOI":"10.1007\/s10109-018-0279-0","volume":"20","author":"A Adam","year":"2018","unstructured":"Adam, A, Delvenne J-C, Thomas I (2018) Detecting communities with the multi-scale louvain method: robustness test on the metropolitan area of brussels. 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