Logistics clusters, including inter-firm relations through community detection
(2018) European Journal of Transport and Infrastructure Research — Vol. 18, n° 2, p. 178-195 (2018)
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- Abstract
- This paper studies clusters in the logistics sector. Like traditional cluster research, indicators of concentration to detect co-location of employment are calculated. However, this approach is enhanced by including a quantitative analysis of the inter-firm relations between logistics companies through the use of a community detection algorithm on a microeconomic dataset of buyer-supplier relations. Combining both results in a typology of logistics clusters. Next to the big clusters characterized by employment concentration and many internal and external relations, spill-over and polycentric clusters are identified. This approach seems promising to detect in future research clusters in other sectors and places.
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Citations
Beckers, J., Thomas, I., Vanoutrive, T., & Verhetsel, A. (2018). Logistics clusters, including inter-firm relations through community detection. European Journal of Transport and Infrastructure Research, 18(2), 178-195. https://hdl.handle.net/2078.5/171945 (Original work published 2018)