This paper simulates the increase in the average annual loss from tropical cyclones in the North Atlantic for the years 2015 and 2050. The simulation is based on assumptions concerning wealth trends in the regions affected by the storms, considered by the change in material assets (capital...

Tropical cyclones that make landfall on the coast of the USA are causing increasing economic losses. It is assumed that the losses are largely due to socio-economic developments, i.e. growing wealth and greater settlement of exposed areas. However, it is also thought that the rise in losses is...

Economic losses caused by tropical cyclones have increased dramatically. It can be assumed that most losses are due to increased prosperity and a greater tendency for people to settle in exposed areas, but also that the growing incidence of severe cyclones is due to climate change. This paper...

This paper describes the structure of the World Integrated Assessment model of global Trade, Environmental, and Climate change (WIATEC).The model consists of a multi-regional multi-sectoral core CGE model linked to a climate model. The core CGE is based on an existing global trade and...

Methane is a major anthropogenic greenhouse gas, second only to carbon dioxide (CO2) in its impact on climate change. Methane (CH4) has a high global warming potential that is 25 times as large as the one of CO2 on a 100 year time horizon according to the latest IPCC report. Thus, CH4...

This paper discusses the potential role of fossil natural gas (and other gases) in the process of the energy transformation in Europe on its way to complete decarbonization. Mainstream conventional wisdom has it that natural gas, perhaps in combination with other gases, should maintain an...

This paper applies the concept of damage coefficients introduced in Houba and Kremers (2008) to provide an estimate of the cost of climate change - in particular the cost of changes in mean regional temperature and precipitation - to the fruit vegetation sector. We concentrate on the production...

This study models maximum temperatures in Switzerland monitored in twelve locations using the Generalised Extreme Value (GEV) distribution. The parameters of the GEV distribution are determined within a Bayesian framework. We find that the parameters of the underlying distribution underwent a...