The green-restructuring of clusters: investigating a biocluster's transition using a complex adaptive system model

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dc.contributor.authorKamath, Ram
dc.contributor.authorElola Ceberio, Aitziber
dc.contributor.authorHermans, Frans
dc.date.accessioned2025-06-18T16:23:59Z
dc.date.available2025-06-18T16:23:59Z
dc.date.issued2023
dc.date.updated2025-06-18T16:23:59Z
dc.description.abstractBioclusters’ promise of helping achieving sustainable bioeconomies has invoked great interest among policymakers and academia. However, bioclusters are not intrinsically sustainable. If they are to fulfil their promise, bioclusters must undergo green-restructuring. While cluster-research has elaborated on green regional development, we need more clarity on how clusters transition to normatively desired states; we need more evidence of how green-restructuring unfolds. In this study, we conduct a longitudinal analysis to demonstrate how a biocluster green-restructures through the interactions of agency, regional and industrial structures, and phenomena at (supra-)national levels. To execute this analysis, we created a novel cluster-evolution framework that treats clusters, and the regional innovation system and sectoral systems of innovation that contain the cluster, as complex adaptive systems. We applied this framework to study the greening of the Basque pulp-and paper-biocluster, over four phases between 1986 and 2019. Our analysis helped us discover patterns of agency, structural dynamics, and of agency-structure interactions and how supra-regional phenomena shaped structures and agency over the four phases. Based on our findings, we recommend policymakers encourage not only green-tech entrepreneurs, but also institutional-entrepreneurs and place-leaders who can help shape both (supra-)regional and industrial structures.en
dc.description.sponsorshipThis work was supported by the Bundesministerium für Bildung und Forschung (BMBF) [grantnumber 031B0020]
dc.identifier.citationKamath, R., Elola, A., & Hermans, F. (2023). The green-restructuring of clusters: investigating a biocluster’s transition using a complex adaptive system model. European Planning Studies, 31(9), 1842-1867. https://doi.org/10.1080/09654313.2022.2141054
dc.identifier.doi10.1080/09654313.2022.2141054
dc.identifier.eissn1469-5944
dc.identifier.issn0965-4313
dc.identifier.urihttps://hdl.handle.net/20.500.14454/3093
dc.language.isoeng
dc.publisherRoutledge
dc.rights© 2022 The Author(s)
dc.subject.otherAgency
dc.subject.otherBioeconomy
dc.subject.otherGreen clusters
dc.subject.otherMultiscalarity
dc.subject.otherPath dependency
dc.subject.otherPlace dependency
dc.titleThe green-restructuring of clusters: investigating a biocluster's transition using a complex adaptive system modelen
dc.typejournal article
dcterms.accessRightsopen access
oaire.citation.endPage1867
oaire.citation.issue9
oaire.citation.startPage1842
oaire.citation.titleEuropean Planning Studies
oaire.citation.volume31
oaire.licenseConditionhttps://creativecommons.org/licenses/by/4.0/
oaire.versionVoR
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