Firm Interactions and Potential Ecosystems: A Bottom-Up Approach to Territorial Network Analysis
Ugo Fratesi and
Pietro Vicari
No 2612, Papers in Evolutionary Economic Geography (PEEG) from Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography
Abstract:
The concept of ecosystem has gained significant traction, both in academic and policy domains, however, most of the literature adopts given spatial scales, mostly regional statistical units, and then investigates the extent to which those places exhibit ecosystem features. To contribute overcoming this limit, this paper proposes a bottom-up methodology to identify “potential ecosystems†, i.e. clusters of local labour systems aggregated on the basis of firm interactions and territorial networks. The methodology is illustrated and validated with Italian data where identified “ potential ecosystems†are shown to exhibit several of the features that are expected in actual ecosystems. This methodological innovation could provide a support to evidence-based regional policy, e.g. better targeting areas for innovation measures.
Keywords: Ecosystems; Firm Networks; Cluster Identification; Regional Development (search for similar items in EconPapers)
JEL-codes: L26 R12 R58 (search for similar items in EconPapers)
Date: 2026-07, Revised 2026-07
New Economics Papers: this item is included in nep-ent, nep-sbm and nep-uep
References: Add references at CitEc
Citations:
Downloads: (external link)
http://econ.geo.uu.nl/peeg/peeg2612.pdf Version July 2026 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:egu:wpaper:2612
Access Statistics for this paper
More papers in Papers in Evolutionary Economic Geography (PEEG) from Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography Contact information at EDIRC.
Bibliographic data for series maintained by ( this e-mail address is bad, please contact ).