Visioneering futures: a way to boost regional awareness of the low-carbon future
Chiara Andreotta
Regional Studies, Regional Science, 2018, vol. 5, issue 1, 117-124
Abstract:
The low-carbon future is a global challenge; it requires local answers that take into account the different conditions and specificities of individual regions. The Alps are one of the most sensitive areas to the transition to a low-carbon future owing to the effects of climate change, and the abundance of natural resources for the production of renewable energy. Generating and spreading awareness in this region is still a key issue for the implementation of a sustainable transition. This paper presents the application of a strategic planning approach (visioneering) to encourage a regional response in an alpine region (Cadore, Italy). The purpose of the empirical research is to improve the regional approach by stimulating social learning, by testing the visioneering approach and through use of related visual material. The conclusions show that visioneering can impact on a regional approach effectively by clarifying the individual’s role in the transition, and the actions that the region and individuals can effectively take.
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://hdl.handle.net/10.1080/21681376.2018.1446844 (text/html)
Access to full text is restricted to subscribers.
Related works:
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:rsrsxx:v:5:y:2018:i:1:p:117-124
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rsrs20
DOI: 10.1080/21681376.2018.1446844
Access Statistics for this article
Regional Studies, Regional Science is currently edited by Alasdair Rae
More articles in Regional Studies, Regional Science from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().