Outlining policy responses to stimulate automotive car demand by environmental impact reduction

Giuseppe Calabrese

Journal of Environmental Planning and Management, 2015, vol. 58, issue 1, 55-68

Abstract: The aim of this paper is to propose an alternative approach for outlining policy responses to stimulate the automotive industry. The scientific community has developed and employed the Delphi method to collect and convey perspectives and impressions, and also define a number of financially viable proposals. The panel of experts takes the view that traditional industrial policy measures denote limited effects to stimulate car demand, in a context of a macro-economic downturn. By contrast, the panel also believe incentives for car demand are important for environmental purposes, for safety and for the diversification of energy sources. The policy measures proposed are fundamental from the viewpoint of overturning path dependencies in the automotive industry which impede the diffusion of alternative vehicles, with respect to business models and consumer attitudes.

Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/09640568.2013.839940 (text/html)
Access to full text is restricted to subscribers.

Related works:
Working Paper: Outlining policy responses to stimulate automotive car demand by environmental impact reduction (2012)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:jenpmg:v:58:y:2015:i:1:p:55-68

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CJEP20

DOI: 10.1080/09640568.2013.839940

Access Statistics for this article

Journal of Environmental Planning and Management is currently edited by Dr Neil Powe, Dr Ken Willis and George Bill Page

More articles in Journal of Environmental Planning and Management from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().