Climate policies can have a significant impact on the economy. However, these policies have often been associated with uncertainty. Quantitative assessment of the socioeconomic impact of climate policy uncertainty is equally or perhaps more important tha
Our uncertainty estimate also depends on the range of global climate model (GCM) outputs used to force the LSMs, accounting for both the structural uncertainty arising from the different GCM’s climate sensitivities, as well as the irreducible uncertainty arising from weather and climate variability....
data of 214 licenses to build small hydropower plants for the period 2001-2009, we can judge whether development did actually occur at the optimal point predicted by the option-based model. Our benchmark is the traditional net present value model which does not incorporate the climate policy ...
Using real options theory and a multivariate discrete choice model, we investigate how investments in renewable electricity production are affected by climate policy uncertainty. More specifically, based on panel data of 214 licenses to construct small hydropower plants, we examine whether uncertainty with...
Climate policy uncertainty and investment risk In Support of the G8 Plan of Action. International Energy Agency, Paris, France.IEA (2007) "Climate Policy Uncertainty and Investment Risk" Paris ISBN 978-92-64-03014-5International Energy Agency (IEA), "Climate Policy Un- ... IEA 被引量: 140...
Climate prediction refers to the process of forecasting future climate conditions based on an understanding of past and present data, including the use of hindcasts and analysis of extreme events. From: The Future of the World's Climate (Second Edition), 2012 ...
The mean Spearman correlation between all combinations of ensemble members at each lead time. Purple shading shows the 2.5–97.5% percentile range from the estimated distribution for uncorrelated data. Full size image To assess the model fidelity, we compare the modeled joint and marginal distributions...
The methodological change adopted would also address data, policy and audience needs, particularly to allow readers to understand advances in the evidence since the first UK CCRA (ASC, 2014: 4), to reflect “on the extent to which the risks have changed as a result of actions taken under th...
assessments26, uncertainties and errors originating from soil data will propagate throughout the whole assessment chain from bio-physical to economic impacts and further to policy recommendations. This amplifies the need for developing new strategies on how to deal with soil-related uncertainty in GGCM...
climate policy induced changes, as well as the corresponding Gini coefficients, in ambitious mitigation scenarios at the country level. We translate these into national poverty rates using a regression model calibrated on recent poverty and inequality data. Finally, we calculate national, regional and ...