Arbeitspapier

Modelling the interaction between flooding events and economic growth

Recently socio-hydrology models have been proposed to analyse the interplay of community risk-coping culture, flooding damage and economic growth. These models descriptively explain the feedbacks between socio-economic development and natural disasters such as floods. Complementary to these descriptive models, we develop a dynamic optimization model, where the inter-temporal decision of an economic agent interacts with the hydrological system. We assume a standard macro-economic growth model where agents derive utility from consumption and output depends on physical capital that can be accumulated through investment. To this framework we add the occurrence of flooding events which will destroy part of the capital. We identify two specific periodic long term solutions and denote them rich and poor economies. Whereas rich economies can afford to invest in flood defence and therefore avoid flood damage and develop high living standards, poor economies prefer consumption instead of investing in flood defence capital and end up facing flood damages every time the water level rises. Nevertheless, they manage to sustain at least a low level of physical capital. We identify optimal investment strategies and compare simulations with more frequent and more intense high water level events.

Sprache
Englisch

Erschienen in
Series: ECON WPS ; No. 04/2015

Klassifikation
Wirtschaft
Thema
flood
socio-hydrology
dynamic optimization
investment strategy

Ereignis
Geistige Schöpfung
(wer)
Grames, Johanna
Prskawetz, Alexia
Grass, Dieter
Viglione, Alberto
Blöschl, Günter
Ereignis
Veröffentlichung
(wer)
Vienna University of Technology, Institute of Statistics and Mathematical Methods in Economics, Research Group Economics
(wo)
Vienna
(wann)
2015

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Grames, Johanna
  • Prskawetz, Alexia
  • Grass, Dieter
  • Viglione, Alberto
  • Blöschl, Günter
  • Vienna University of Technology, Institute of Statistics and Mathematical Methods in Economics, Research Group Economics

Entstanden

  • 2015

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