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Governing the electric vehicle transition - Near term interventions to support a green energy economy
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering, Environmental Strategies Research (fms). Stockholm Environment Institute, Sweden.ORCID iD: 0000-0003-2157-1083
2016 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 179, 1360-1371 p.Article in journal (Refereed) Published
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Text
Abstract [en]

This paper seeks to better understand how one plausible development in a green energy economy transition of the transport sector can be governed: a breakthrough of battery-electric vehicles (BEV). Drawing on recent results and lessons from BEV studies at local, national and regional scales, the paper presents two alternative scenarios of BEV uptake until 2030 - one incremental growth scenario and one breakthrough scenario. It then draws on the multilevel perspective (MLP) on socio-technical systems as an approach to identify the governance implications of the breakthrough scenario. Based on a characterisation of barriers and drivers at landscape, regime and niche levels, it identifies governance interventions to enable a BEV breakthrough. The results point towards a multidimensional governance approach that includes conventional policy instruments such as durable incentive policies, with a predictable mechanism for adjustment and phase-out, and mechanisms for mobilising investment finance for fast and super-fast charging and home charging along public roads. In addition, more innovation-systems oriented governance is required, such as familiarisation and experience building to ease cognitive barriers and build knowledge for both consumers and businesses, and supporting structural and technological change within automotive industries.

Place, publisher, year, edition, pages
Elsevier, 2016. Vol. 179, 1360-1371 p.
Keyword [en]
Automotive industry, Charging (batteries), Cognitive systems, Economics, Electric vehicles, Investments, Vehicles, Governance, Incentive policies, Multilevels, Predictable mechanisms, Scenarios, Socio-technical transitions, Sociotechnical systems, Technological change, Battery electric vehicles
National Category
Environmental Management
Identifiers
URN: urn:nbn:se:kth:diva-187144DOI: 10.1016/j.apenergy.2016.03.056ISI: 000383291800111Scopus ID: 2-s2.0-84962241097OAI: oai:DiVA.org:kth-187144DiVA: diva2:929053
Funder
EU, FP7, Seventh Framework Programme, 603942
Note

QC 20161017

Available from: 2016-05-17 Created: 2016-05-17 Last updated: 2016-10-17Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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