The Global Financial Burden of Humanitarian Disasters: Leveraging GDP Variation in the Age of Climate Change

Author(s)
McDougal, T.L. & Patterson, J.H.
Publication language
English
Pages
pp13
Date published
22 Feb 2021
Publisher
International Journal of Risk Reduction, Elsevier
Type
Research, reports and studies
Keywords
Disasters, Environment & climate, Funding and donors, humanitarian action, Government, Climate Action (SDG)

This article quantifies the global spending burden of humanitarian disaster response. While international response flows are well documented, global domestic spending on disasters is virtually unknown in any comprehensive way. We employ log-log fixed-effects models to estimate international humanitarian disaster response spending as recorded by UNOCHA's Financial Tracking Service (FTS) by recipient country and year, as a function of GDP per capita. Conservatively assuming all humanitarian disaster response spending in the poorest countries originates from without, we calculate a Population Attributable Fraction for the proportion of total spending attributable to GDP per capita, reverse-calculating yearly estimates of total humanitarian disaster response spending.

The article finds global humanitarian expenditures to be roughly 13 times as high as official FTS figures, or around $367 billion annually. Finally, we use Simultaneous Equation Models to examine how total humanitarian disaster response spending is influenced by climate change (proxied by NASA's GISS Surface Temperature data). We find each 1° C rise in 5-year temperature anomalies would require an annual 3.1% (95% CI: 0.18%–6.01%) rise in humanitarian spending. In total, we estimate a further 1° C rise in global temperatures would require total annual humanitarian expenditures of approximately $1 trillion, or about 0.75% of worldwide 2019 GDP, in order to maintain current levels of humanitarian needs coverage. We find climate change to influence humanitarian spending only via GDP per capita and disaster hazard exposure, even though temperature anomalies predict significant increases to disaster vulnerability.

Authors: 
McDougal, T.L. & Patterson, J.H.