Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/286351 
Year of Publication: 
2023
Series/Report no.: 
IES Working Paper No. 22/2023
Publisher: 
Charles University in Prague, Institute of Economic Studies (IES), Prague
Abstract: 
We analyze the relationships within the liquid fuels system and its associated supply chain using innovative network filtering methods, namely the Minimum Spanning Tree and Triangulated Maximally Filtered Graph. Our findings reveal that biofuels form robust connections with their feedstocks that intensify during periods of economic or legislative uncertainty. Conversely, fossil fuels form detached clusters primarily influenced by global economic conditions. These insights significantly enhance our understanding of the liquid fuels market dynamics and suggest potential avenues for integrating additional liquid fuels into the supply chain network.
Subjects: 
fossil fuels
biofuels
crude oil
complex network analysis
community detection
triangulated maximally filtered graph
minimum spanning tree
relationship analysis
JEL: 
C38
Q41
Q55
Document Type: 
Working Paper

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