Humanitarian need drives multilateral disaster aid
被引:10
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作者:
Dellmuth, Lisa M.
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Stockholm Univ, Dept Econ Hist & Int Relat, S-10691 Stockholm, SwedenStockholm Univ, Dept Econ Hist & Int Relat, S-10691 Stockholm, Sweden
Dellmuth, Lisa M.
[1
]
Bender, Frida A-M
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机构:
Stockholm Univ, Dept Meteorol, S-10691 Stockholm, Sweden
Stockholm Univ, Bolin Ctr Climate Res, S-10691 Stockholm, SwedenStockholm Univ, Dept Econ Hist & Int Relat, S-10691 Stockholm, Sweden
Bender, Frida A-M
[2
,3
]
Jonsson, Aiden R.
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机构:
Stockholm Univ, Dept Meteorol, S-10691 Stockholm, Sweden
Stockholm Univ, Bolin Ctr Climate Res, S-10691 Stockholm, SwedenStockholm Univ, Dept Econ Hist & Int Relat, S-10691 Stockholm, Sweden
Jonsson, Aiden R.
[2
,3
]
Rosvold, Elisabeth L.
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机构:
Stockholm Univ, Dept Econ Hist & Int Relat, S-10691 Stockholm, SwedenStockholm Univ, Dept Econ Hist & Int Relat, S-10691 Stockholm, Sweden
Rosvold, Elisabeth L.
[1
]
von Uexkull, Nina
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机构:
Uppsala Univ, Dept Peace & Conflict Res, S-75120 Uppsala, SwedenStockholm Univ, Dept Econ Hist & Int Relat, S-10691 Stockholm, Sweden
von Uexkull, Nina
[4
]
机构:
[1] Stockholm Univ, Dept Econ Hist & Int Relat, S-10691 Stockholm, Sweden
[2] Stockholm Univ, Dept Meteorol, S-10691 Stockholm, Sweden
[3] Stockholm Univ, Bolin Ctr Climate Res, S-10691 Stockholm, Sweden
[4] Uppsala Univ, Dept Peace & Conflict Res, S-75120 Uppsala, Sweden
As the climate changes, human livelihoods will increasingly be threatened by extreme weather events. To provide adequate disaster relief, states extensively rely on multilateral institutions, in particular the United Nations (UN). However, the determinants of this multilateral disaster aid channeled through the UN are poorly understood. To fill this gap, we examine the determinants of UN disaster aid using a dataset on UN aid covering almost 2,000 climate-related disasters occurring between 2006 and 2017. We make two principal contributions. First, we add to research on disaster impacts by linking existing disaster data from the Emergency Events Database (EM-DAT) to a meteorological reanalysis. We generate a uniquely global hazard severity measure that is comparable across different climate-related disaster types, and assess and bolster measurement validity of EM-DAT climate-related disasters. Second, by combining these data with social data on aid and its correlates, we contribute to the literature on aid disbursements. We show that UN disaster aid is primarily shaped by humanitarian considerations, rather than by strategic donor interests. These results are supported by a series of regression and out-of-sample prediction analyses and appear consistent with the view that multilateral institutions are able to shield aid allocation decisions from particular state interests to ensure that aid is motivated by need.