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Simulating the Adoption of Fuel Cell Vehicles

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Author Info
Malte Schwoon

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Abstract

Supply security and environmental concerns associated with oil call for an introduction of hydrogen as a transport fuel. To date, scenario studies of infrastructure build up and sales of fuel cell vehicles (FCVs) are driven by cost estimates and technological feasibility assumptions, indicating that there is a "chicken and egg problem": Car producers do not offer FCVs as long as there are no hydrogen filling stations, and infrastructure will not be set up unless there is a significant number of FCVs on the road. This diffusion barrier is often used as an argument for a major (public) infrastructure program, neglecting that the automobile market is highly competitive and car producers, consumers, and filling station operators form an interdependent dynamic system, where taxes influence technology choice. In this paper, an agent-based model is used that captures the main interdependencies to simulate possible diffusion paths of FCVs. The results suggest that a tax on conventional cars can successfully promote diffusion even without a major infrastructure program. However, consumers and individual producers are affected differently by the tax, indicating that differently strong resistance towards such a policy can be anticipated. Moreover, there is evidence that some producers might benefit from cooperation with filling station operators to generate a faster build up of infrastructure.

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File URL: http://www.fnu.zmaw.de/fileadmin/fnu-files/publication/working-papers/WP-FNU-59schwoon_adoption_fcv.pdf
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File Function: First version, 2005
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Publisher Info
Paper provided by Research unit Sustainability and Global Change, Hamburg University in its series Working Papers with number FNU-59.

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Length: 55 pages
Date of creation: Aug 2005
Date of revision: Feb 2006
Handle: RePEc:sgc:wpaper:59

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Related research
Keywords: Diffusion Process; Agent Based Modeling; Hydrogen Economy; Alternative Fuel Vehicles;

Other versions of this item:

Find related papers by JEL classification:
O33 - Economic Development, Technological Change, and Growth - - Technological Change - - - Technological Change: Choices and Consequences; Diffusion Processes
D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
D21 - Microeconomics - - Production and Organizations - - - Firm Behavior

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Cited by:
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  1. Malte Schwoon, 2006. "Learning-by-doing, Learning Spillovers and the Diffusion of Fuel Cell Vehicles," Working Papers FNU-112, Research unit Sustainability and Global Change, Hamburg University, revised Jun 2006. [Downloadable!]
  2. Jeroen Bergh, 2007. "Evolutionary thinking in environmental economics," Journal of Evolutionary Economics, Springer, vol. 17(5), pages 521-549, October. [Downloadable!] (restricted)
  3. Albert Faber & Koen Frenken, 2008. "Models in evolutionary economics and environmental policy: Towards an evolutionary environmental economics," Innovation Studies Utrecht (ISU) working paper series 08-15, Utrecht University, Department of Innovation Studies, revised Apr 2008. [Downloadable!]
  4. Floris J. Huétink & Alexander van der Vooren & Floortje Alkemade, 2009. "Initial infrastructure development strategies for the transition to sustainable mobility," Innovation Studies Utrecht (ISU) working paper series 09-05, Utrecht University, Department of Innovation Studies, revised Mar 2009. [Downloadable!]
  5. Malte Schwoon, 2006. "A Tool to Optimize the Initial Distribution of Hydrogen Filling Stations," Working Papers FNU-110, Research unit Sustainability and Global Change, Hamburg University, revised Jun 2006. [Downloadable!]
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