Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ePubWU Institutional...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Energy Policy
Article . 2016 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
Energy Policy
Article . 2016
License: unspecified
Data sources: WU Research
versions View all 3 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Measuring regional resilience towards fossil fuel supply constraints. Adaptability and vulnerability in socio-ecological Transformations-the case of Austria

Authors: Politi, Emilio; Exner, Andreas; Schriefl, Ernst; Erker, Susanna; Stangl, Rosemarie; Baud, Sascha; Paulesich, Reinhard; +6 Authors

Measuring regional resilience towards fossil fuel supply constraints. Adaptability and vulnerability in socio-ecological Transformations-the case of Austria

Abstract

Abstract Resilience has become a prominent concept to understand system vulnerabilities and flexible ways of adapting to crises. Recently, it gained importance in discussions about the possible peak in oil production (peak oil) and its consequences, which might affect economic performance, social well-being and political stability, and thus also the energy transition to a low-carbon economy. The paper presents a new way of measuring resilience as absolute resilience related to a best practice-model of a resilient society. The resilience model is grounded in explicit theoretical assumptions. All indicators are justified by theoretical and empirical arguments. We present a case study of Austrian municipalities and broader-scale spatial types, which were defined according to their degree of urbanization. The mean resilience of Austrian municipalities is moderate, the difference between resilience values of municipalities is small. Significant differences between spatial types exist. Higher resilience is displayed by less urbanized types due to a higher share of agricultural activities and a more favorable level of GDP per capita. Austria has considerable latitude to improve resilience. Corresponding policies should target resilience components with the lowest values first. A sole focus on regionalization is not recommended. These conclusions are applicable to OECD countries in general.

Country
Austria
Keywords

Resilience / Energy / Peak oil / Vulnerability / Innovation / Social capital

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    31
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
31
Top 10%
Top 10%
Top 10%
Green