The transition to a circular economy (CE) is essential to address pressing environmental challenges. This transition heavily relies on technological progress and innovation. However, the geography of CE innovations is uneven, with some regions outperforming others in developing CE-related inventions. In this paper, we aim to deepen the understanding of the geography of CE innovations and its drivers at the regional level. Specifically, we investigate how the composition of regional knowledge bases is associated with CE innovation, distinguishing between knowledge related to the invention of novel products (product knowledge) and knowledge related to the development of new production processes (process knowledge). Our empirical analysis draws on two unique datasets: one uses natural language processing to identify CE inventions from patent data, while the other identifies process and product knowledge from patent data. Combining these datasets, we analyze data from 283 European NUTS-2 regions and 128 CPC technology fields between 1980 and 2016. Our findings reveal that a higher share of process knowledge within a region’s knowledge base is associated with greater regional intensity of CE innovations. These results contribute to the literature on the geography of the CE, highlighting the importance of place-based policy approaches to foster CE innovation.

Trust the process: Regional process knowledge and the geography of circular economy innovation in Europe / Cicerone, G., Losacker, S., Montresor, S., Rentocchini, F.. - In: EUROPEAN URBAN AND REGIONAL STUDIES. - ISSN 0969-7764. - 2026:(2026). [10.1177/09697764261457099]

Trust the process: Regional process knowledge and the geography of circular economy innovation in Europe

Montresor, Sandro
Penultimo
;
2026-01-01

Abstract

The transition to a circular economy (CE) is essential to address pressing environmental challenges. This transition heavily relies on technological progress and innovation. However, the geography of CE innovations is uneven, with some regions outperforming others in developing CE-related inventions. In this paper, we aim to deepen the understanding of the geography of CE innovations and its drivers at the regional level. Specifically, we investigate how the composition of regional knowledge bases is associated with CE innovation, distinguishing between knowledge related to the invention of novel products (product knowledge) and knowledge related to the development of new production processes (process knowledge). Our empirical analysis draws on two unique datasets: one uses natural language processing to identify CE inventions from patent data, while the other identifies process and product knowledge from patent data. Combining these datasets, we analyze data from 283 European NUTS-2 regions and 128 CPC technology fields between 1980 and 2016. Our findings reveal that a higher share of process knowledge within a region’s knowledge base is associated with greater regional intensity of CE innovations. These results contribute to the literature on the geography of the CE, highlighting the importance of place-based policy approaches to foster CE innovation.
2026
Cicerone, Gloria; Losacker, Sebastian; Montresor, Sandro; Rentocchini, Francesco
Trust the process: Regional process knowledge and the geography of circular economy innovation in Europe / Cicerone, G., Losacker, S., Montresor, S., Rentocchini, F.. - In: EUROPEAN URBAN AND REGIONAL STUDIES. - ISSN 0969-7764. - 2026:(2026). [10.1177/09697764261457099]
File in questo prodotto:
File Dimensione Formato  
EURS2026_onlinefirst.pdf

accesso aperto

Descrizione: PDF online-first
Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Creative commons
Dimensione 951.35 kB
Formato Adobe PDF
951.35 kB Adobe PDF Visualizza/Apri
Presub_manuscript.pdf

accesso aperto

Tipologia: Pre-print non referato (Non-refereed preprint)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 1.13 MB
Formato Adobe PDF
1.13 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/510353
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
  • OpenAlex ND
social impact