Arbeitspapier

Price transmission and policies in biofuels-related global networks

This article investigates the connections between the prices of biofuels and many traded commodities and other relevant assets in Europe, USA and Brazil. The analysis uses a comprehensive dataset covering price data for 38 traded titles over the period 2003-2020. We utilize the minimum spanning tree approach to identify price connections in a complex trading system. Our analysis of mutual price connections discovers the major defining features of world leading biofuels markets during the period since the ground-breaking policy initiatives of the 2003 EU Transport Fuel Directive and Energy Taxation Directive. We provide characteristics of main bioethanol and biodiesel markets with respect to government policies and technical and local features of the production and consumption of particular biofuels. Despite a relatively long and dynamically evolving history of biofuels, we find that the biofuels systems in USA, Brazil and Europe do not converge towards the same pattern of relations among fossil fuels, biofuels, agricultural commodities and financial assets.

Sprache
Englisch

Erschienen in
Series: IES Working Paper ; No. 5/2022

Klassifikation
Wirtschaft
Multiple or Simultaneous Equation Models: Classification Methods; Cluster Analysis; Principal Components; Factor Models
Agricultural R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
Alternative Energy Sources
Thema
ethanol
biodiesel
minimum spanning tree
energy and agricultural policies

Ereignis
Geistige Schöpfung
(wer)
Janda, Karel
Krištoufek, Ladislav
Schererova, Barbora
Zilberman, David
Ereignis
Veröffentlichung
(wer)
Charles University in Prague, Institute of Economic Studies (IES)
(wo)
Prague
(wann)
2022

Handle
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Janda, Karel
  • Krištoufek, Ladislav
  • Schererova, Barbora
  • Zilberman, David
  • Charles University in Prague, Institute of Economic Studies (IES)

Entstanden

  • 2022

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