Allocation of humanitarian aid after a weather disaster

Mogge L; McDonald M; Knoth C; Teickner H; Purevtseren M; Pebesma E; Kraehnert K

Forschungsartikel (Zeitschrift) | Peer reviewed

Zusammenfassung

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.

Details zur Publikation

FachzeitschriftWorld Development
Jahrgang / Bandnr. / Volume166
Seitenbereich106204null
StatusVeröffentlicht
Veröffentlichungsjahr2023
Sprache, in der die Publikation verfasst istEnglisch
DOI10.1016/j.worlddev.2023.106204
Link zum Volltexthttps://www.sciencedirect.com/science/article/pii/S0305750X23000220
StichwörterAid allocation; Humanitarian aid; Weather disaster; Mongolia; Political economy

Autor*innen der Universität Münster

Knoth, Christian
Professur für Geoinformatik (Prof. Pebesma)
Pebesma, Edzer
Professur für Geoinformatik (Prof. Pebesma)
Teickner, Henning
Professur für Geoinformatik (Prof. Pebesma)