Composite risk index for designing smart climate and energy policies

This study presents an innovative model for a comprehensive, in-depth risk assessment of climate and energy policies. A risk matrix framework combined with a composite index methodology is applied to produce a risk index composed of 24 risk indicators grouped into six main risk categories - politica...

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Autores principales: Kristiāna Dolge, Dagnija Blumberga
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/fe601c5a1bee40dead4ef663ca9fe1b2
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spelling oai:doaj.org-article:fe601c5a1bee40dead4ef663ca9fe1b22021-11-26T04:40:11ZComposite risk index for designing smart climate and energy policies2665-972710.1016/j.indic.2021.100159https://doaj.org/article/fe601c5a1bee40dead4ef663ca9fe1b22021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S266597272100060Xhttps://doaj.org/toc/2665-9727This study presents an innovative model for a comprehensive, in-depth risk assessment of climate and energy policies. A risk matrix framework combined with a composite index methodology is applied to produce a risk index composed of 24 risk indicators grouped into six main risk categories - political, technical, economic, environmental, social and administrative. The model was applied to assess five different climate policy instruments, using both an ex-post and ex-ante assessment. The results highlight the critical risk factors for each policy instrument and identify existing policy vulnerabilities that require immediate mitigation action. The model could be used for decision-making at all levels of government and serve as a valuable tool for designing sustainable and successful environmental policies.Kristiāna DolgeDagnija BlumbergaElsevierarticleRisk assessmentRisk matrixRisk indexDecision-makingPolicy evaluationClimate policiesEnvironmental sciencesGE1-350ENEnvironmental and Sustainability Indicators, Vol 12, Iss , Pp 100159- (2021)
institution DOAJ
collection DOAJ
language EN
topic Risk assessment
Risk matrix
Risk index
Decision-making
Policy evaluation
Climate policies
Environmental sciences
GE1-350
spellingShingle Risk assessment
Risk matrix
Risk index
Decision-making
Policy evaluation
Climate policies
Environmental sciences
GE1-350
Kristiāna Dolge
Dagnija Blumberga
Composite risk index for designing smart climate and energy policies
description This study presents an innovative model for a comprehensive, in-depth risk assessment of climate and energy policies. A risk matrix framework combined with a composite index methodology is applied to produce a risk index composed of 24 risk indicators grouped into six main risk categories - political, technical, economic, environmental, social and administrative. The model was applied to assess five different climate policy instruments, using both an ex-post and ex-ante assessment. The results highlight the critical risk factors for each policy instrument and identify existing policy vulnerabilities that require immediate mitigation action. The model could be used for decision-making at all levels of government and serve as a valuable tool for designing sustainable and successful environmental policies.
format article
author Kristiāna Dolge
Dagnija Blumberga
author_facet Kristiāna Dolge
Dagnija Blumberga
author_sort Kristiāna Dolge
title Composite risk index for designing smart climate and energy policies
title_short Composite risk index for designing smart climate and energy policies
title_full Composite risk index for designing smart climate and energy policies
title_fullStr Composite risk index for designing smart climate and energy policies
title_full_unstemmed Composite risk index for designing smart climate and energy policies
title_sort composite risk index for designing smart climate and energy policies
publisher Elsevier
publishDate 2021
url https://doaj.org/article/fe601c5a1bee40dead4ef663ca9fe1b2
work_keys_str_mv AT kristianadolge compositeriskindexfordesigningsmartclimateandenergypolicies
AT dagnijablumberga compositeriskindexfordesigningsmartclimateandenergypolicies
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