970 resultados para strategic uncertainty


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The Gulf Cooperation Council (GCC) is a de facto regional power in the Arab world. Its role has been crucial in some of the outcomes of the Arab Spring. The GCC countries have been very pragmatic in dealing with the uprisings, avoiding any revolutionary spill-over throughout the Gulf region. This paper examines to what extent the policies of the European Union (EU) in the Gulf have changed since the beginning of the Arab Spring. It argues that despite the calls by the European Parliament and by the High Representative Baroness Ashton to improve the relationship, the EU’s support for a new policy in the Gulf after the Arab Spring is stalling, and little new or concrete has been achieved. The paper concludes that the Union needs a reinforced partnership that merges the various EU policies in the region into a single strategic partnership with the Arab countries.

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This paper explains the conflictive and cooperative elements of energy diplomacy between the European Union (EU) and Russia. It argues that interdependence forms the underlying principle of this relationship and creates both sensitivity and vulnerability for the interdependent parties, thus carrying the sperms of both conflict and cooperation. Both sides would be negatively affected by the other side’s noncooperation within the current policy framework and the prevailing mistrust and recurring tensions can be explained by this sensitivity. However, even if both sides’ policies were adjusted, vulnerability interdependence would still prevent them from seriously reducing their energy cooperation. It is necessary then to see how EU and Russian energy diplomacy can converge and how their strategic energy partnership can be cemented.

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Faced by the realities of a changing climate, decision makers in a wide variety of organisations are increasingly seeking quantitative predictions of regional and local climate. An important issue for these decision makers, and for organisations that fund climate research, is what is the potential for climate science to deliver improvements - especially reductions in uncertainty - in such predictions? Uncertainty in climate predictions arises from three distinct sources: internal variability, model uncertainty and scenario uncertainty. Using data from a suite of climate models we separate and quantify these sources. For predictions of changes in surface air temperature on decadal timescales and regional spatial scales, we show that uncertainty for the next few decades is dominated by sources (model uncertainty and internal variability) that are potentially reducible through progress in climate science. Furthermore, we find that model uncertainty is of greater importance than internal variability. Our findings have implications for managing adaptation to a changing climate. Because the costs of adaptation are very large, and greater uncertainty about future climate is likely to be associated with more expensive adaptation, reducing uncertainty in climate predictions is potentially of enormous economic value. We highlight the need for much more work to compare: a) the cost of various degrees of adaptation, given current levels of uncertainty; and b) the cost of new investments in climate science to reduce current levels of uncertainty. Our study also highlights the importance of targeting climate science investments on the most promising opportunities to reduce prediction uncertainty.