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Increased flooding is expected to be one of the greatest threats caused by climate change. Flood insurance helps to cope with the risk of flooding, but take‐up rates are relatively low in many places. Mainly in developing countries, index‐based flood insurance – where the insurer's payout is based on pre‐agreed weather indices instead of actual loss – has been marketed recently. In this paper, we investigate whether the introduction of index‐based flood insurance with relatively low premiums is likely to attract new customers in a high‐income country, namely Germany. We use data from a discrete choice experiment combined with damage data for a major flood in 2013. We find index‐based flood insurance to attract similar customers as traditional damage‐based, while the latter is preferred on average. Our results suggest that not many new customers would enter the market, once index‐based flood insurance were available. [ABSTRACT FROM AUTHOR]

Residential buildings strongly contribute to global CO2 emissions due to the high energy demand for electricity and heating, particularly in industrialised countries. Within the EU, decentralised heat generation is of particular relevance for future climate policy, as its emissions are not covered by the EU ETS. We conducted a choice experiment concerning energy retrofits for existing houses in Germany. In the experiment, the approximately 400 sampled house owners could either choose a modern heating system or an improved thermal insulation for their home. We used standard and mixed logit specifications to analyse the choice data. We found environmental benefits to have a significant impact on choices of heating systems. However, they played no role in terms of insulation choices. Based on the estimated mixed logit model, we further obtained willingness-to-pay (WTP) measures for CO2 savings. [Copyright &y& Elsevier]