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A hierarchical multilevel approach in assessing factors explaining country-level climate change vulnerability
dc.creator | Halkos G., Skouloudis A., Malesios C., Jones N. | en |
dc.date.accessioned | 2023-01-31T08:27:38Z | |
dc.date.available | 2023-01-31T08:27:38Z | |
dc.date.issued | 2020 | |
dc.identifier | 10.3390/su12114438 | |
dc.identifier.issn | 20711050 | |
dc.identifier.uri | http://hdl.handle.net/11615/73833 | |
dc.description.abstract | Assessing vulnerability is key in the planning of climate change adaptation policies and, more importantly, in determining actions increasing resilience across different locations. This study presents the results of a hierarchical linear multilevel modeling approach that utilizes as dependent variable the Notre Dame Global Adaptation Initiative (ND-GAIN) Climate Change Vulnerability Index and explores the relative impact of a number of macro-level characteristics on vulnerability, including GDP, public debt, population, agricultural coverage and sociopolitical and institutional conditions. A 1995-2016 annual time series that yields a panel dataset of 192 countries is employed. Findings suggest that country-level climate change vulnerability is responding (strongly) to the majority of the explanatory variables considered. Findings also confirm that less-developed countries demonstrate increased vulnerability compared to the developed ones and those in transition stages. While these results indeed warrant further attention, they provide a background for a more nuanced understanding of aspects defining country-level patterns of climate vulnerability. © 2020 by the authors. | en |
dc.language.iso | en | en |
dc.source | Sustainability (Switzerland) | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086090427&doi=10.3390%2fsu12114438&partnerID=40&md5=8a19debca8ef09f98eb43746dd145138 | |
dc.subject | adaptive management | en |
dc.subject | climate change | en |
dc.subject | data set | en |
dc.subject | debt | en |
dc.subject | Gross Domestic Product | en |
dc.subject | hierarchical system | en |
dc.subject | planning system | en |
dc.subject | population structure | en |
dc.subject | time series analysis | en |
dc.subject | vulnerability | en |
dc.subject | MDPI | en |
dc.title | A hierarchical multilevel approach in assessing factors explaining country-level climate change vulnerability | en |
dc.type | journalArticle | en |
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