Explore the words cloud of the WATER DROP project. It provides you a very rough idea of what is the project "WATER DROP" about.
The following table provides information about the project.
UNIVERSITA CA' FOSCARI VENEZIA
|Coordinator Country||Italy [IT]|
|Total cost||168˙277 €|
|EC max contribution||168˙277 € (100%)|
1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
|Duration (year-month-day)||from 2016-10-01 to 2019-05-01|
Take a look of project's partnership.
|1||UNIVERSITA CA' FOSCARI VENEZIA||IT (VENEZIA)||coordinator||42˙069.00|
|2||FONDAZIONE ENI ENRICO MATTEI||IT (MILANO)||participant||126˙207.00|
Drought risks and water scarcity are expected to intensify as a result of human-induced climate change. Some areas in Europe, notably the Mediterranean countries are more prone to prolonged drought spells than others. Understanding and properly measuring the overall and sector-wide economic impact of those episodes at the geographically most disaggregated level is of crucial importance for the design of disaster risk management instruments and other policy-related issues. At the same time, it becomes necessary to assess whether this response varies over time. In other words, we need to know whether we are somehow adapting to climate change. Adaptation in the context of climate change is a concept that raises many questions: empirical estimates are scarce and highly desired by scientists and institutions like the IPCC; how this adaptation mechanism can be embedded into economic models of climate change is also an unresolved issue. I will try to address both in this project. The objective of my research is twofold: on the one hand, obtain quantitative measures of the economic impact of droughts and test for the existence of adapting behaviour and, on the other hand, respond the demands of the IPCC that urge for progress in the integration and modelling of adaptation into climate-economy models. To do so, in a first stage I will apply econometric techniques envisaged by the new climate-economy literature to regional, European-wide data to obtain estimates of the economic consequences of droughts and unveil potential adapting behaviour. Then, I will resort to sophisticated climate-economy models, like CGE and IAM models, to shed light into the modelling of adapting behaviour under deterministic and stochastic scenarios.
|year||authors and title||journal||last update|
David GarcÃa-LeÃ³n, Sergio Contreras, Johannes Hunink
Comparison of meteorological and satellite-based drought indices as yield predictors of Spanish cereals
published pages: 388-396, ISSN: 0378-3774, DOI: 10.1016/j.agwat.2018.10.030
|Agricultural Water Management 213||2020-04-09|
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The information about "WATER DROP" are provided by the European Opendata Portal: CORDIS opendata.
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