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  Allocation of humanitarian aid after a weather disaster

Mogge, L., McDonald, M., Knoth, C., Teickner, H., Purevtseren, M., Pebesma, E., Kraehnert, K. (2023): Allocation of humanitarian aid after a weather disaster. - World Development, 166, 106204.
https://doi.org/10.1016/j.worlddev.2023.106204

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 Creators:
Mogge, Lukas1, Author              
McDonald, Morag1, Author
Knoth, Christian2, Author
Teickner, Henning2, Author
Purevtseren, Myagmartseren2, Author
Pebesma, Edzer2, Author
Kraehnert, Kati1, Author              
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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Free keywords: aid allocation, humanitarian aid, weather disaster, Mongolia, political economy
 Abstract: This paper tests whether need or political economy factors determine the allocation of humanitarian aid in the wake of the 2015/16 winter disaster in Mongolia. The identification strategy exploits the exogenous nature of the extremely cold, snowy winter and its spatial variation across Mongolia as well as the fact that the Government defined clear criteria of need across districts based on meteorological risk projections. Using rich district-level data, we distinguish between humanitarian aid delivered by the Mongolian Government and by international donors at the extensive margin (whether a district received any aid) and intensive margin (targeted households per district). Results show that projected need is the strongest predictor for the allocation of international humanitarian aid across districts. Projected need is less relevant for the allocation of governmental humanitarian aid. We do not find evidence that political alignment or core voter considerations matter for either governmental or international humanitarian aid in this young democracy.

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Language(s): eng - English
 Dates: 2022-03-272023-01-222023-02-172023-06
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: Organisational keyword: RD2 - Climate Resilience
Organisational keyword: FutureLab - Inequality, Human Well-Being and Development
PIKDOMAIN: RD2 - Climate Resilience
MDB-ID: yes - 3398
Research topic keyword: Economics
Research topic keyword: Extremes
Research topic keyword: Sustainable Development
Regional keyword: Asia
Model / method: Quantitative Methods
DOI: 10.1016/j.worlddev.2023.106204
 Degree: -

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Title: World Development
Source Genre: Journal, SCI, Scopus
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Pages: - Volume / Issue: 166 Sequence Number: 106204 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/world-development
Publisher: Elsevier