Artikel

Weather index insurance can help households recover from extreme weather events

Weather index insurance is considered a promising international climate policy instrument that can help households adapt better to climate change. This is especially true in developing countries where households often suffer severely from the consequences of extreme weather events. This report is one of the first to evaluate the impact of a globally recognized index insurance, Mongolia's Index-Based Livestock Insurance (IBLI). The empirical study is based on econometric methods and uses data from a survey of almost 1,800 households. It shows that index insurance has a clear positive effect on households: in the first three years after an extremely cold and snowy winter, insured Mongolian households are significantly better off than uninsured households in terms of their livestock, which is the key indicator of income and wealth in this context. Two years after the disaster, their herds were almost a third larger than those of uninsured households. In many places, index insurance could be a suitable measure to prevent poverty after extreme weather events.

Language
Englisch

Bibliographic citation
Journal: DIW Weekly Report ; ISSN: 2568-7697 ; Volume: 8 ; Year: 2018 ; Issue: 40 ; Pages: 385-391 ; Berlin: Deutsches Institut für Wirtschaftsforschung (DIW)

Classification
Wirtschaft
Microeconomic Analyses of Economic Development
Economic Development: Agriculture; Natural Resources; Energy; Environment; Other Primary Products
Agricultural Finance
Subject
extreme weather events
impact evaluation
index insurance
livestock
Mongolia

Event
Geistige Schöpfung
(who)
Kraehnert, Kati
Bertram-Huemmer, Veronika
Event
Veröffentlichung
(who)
Deutsches Institut für Wirtschaftsforschung (DIW)
(where)
Berlin
(when)
2018

Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Kraehnert, Kati
  • Bertram-Huemmer, Veronika
  • Deutsches Institut für Wirtschaftsforschung (DIW)

Time of origin

  • 2018

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