Learning from the best: how regional knowledge stimulates circular economy transition at company level

Meili, Rahel; Stucki, Tobias; Kissling-Näf, Ingrid (2024). Learning from the best: how regional knowledge stimulates circular economy transition at company level Cambridge Journal of Regions, Economy and Society Oxford University Press 10.1093/cjres/rsae011

	Text Meili et al. 2024.pdf - Published Version Restricted to registered users only Available under License Publisher holds Copyright. Download (716kB) | Request a copy
	Text Für Arbor.pdf - Accepted Version Restricted to registered users only until 1 May 2026. Available under License Publisher holds Copyright. Download (581kB) | Request a copy

This paper investigates whether, and what kind of, regional knowledge has a stimulating effect on circular economy (CE) innovation by companies. We thus add to the literature on regional knowledge spillovers, which has rarely focussed explicitly on the CE. For the empirical study, we create econometric regressions based on a representative dataset with extensive information on the CE activities of about 1400 Swiss firms. The results confirm that regional knowledge is important for the implementation of CE innovations. However, geographical distance and the quality of the knowledge must be taken into account, that is, companies primarily learn from the best.

Item Type:	Journal Article (Original Article)
Division/Institute:	Business School > Institute for Sustainable Business Business School > Institute for Sustainable Business > Circular Economy Business School
Name:	Meili, Rahel0000-0002-1185-2781; Stucki, Tobias0000-0002-2400-0107 and Kissling-Näf, Ingrid0000-0001-5225-1723
Subjects:	G Geography. Anthropology. Recreation > G Geography (General) H Social Sciences > HB Economic Theory
ISSN:	1752-1378
Publisher:	Oxford University Press
Language:	English
Submitter:	Rahel Meili
Date Deposited:	03 May 2024 10:13
Last Modified:	07 Jun 2024 12:26
Publisher DOI:	10.1093/cjres/rsae011
Uncontrolled Keywords:	circular economy, sustainability transition, regional knowledge spillover, anchor tenant, company level data, quantitative analysis
ARBOR DOI:	10.24451/arbor.21834
URI:	https://arbor.bfh.ch/id/eprint/21834