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A hierarchical multilevel approach in assessing factors explaining country-level climate change vulnerability

Published version
Peer-reviewed

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Authors

Halkos, G 
Skouloudis, A 
Malesios, C 
Jones, N 

Abstract

jats:pAssessing 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.</jats:p>

Description

Keywords

climate change vulnerability, country-level index, hierarchical linear multilevel (HLM) model

Journal Title

Sustainability (Switzerland)

Conference Name

Journal ISSN

2071-1050
2071-1050

Volume Title

12

Publisher

MDPI AG