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This study performs a model-based multiple-criteria decision analysis (MCDA) for supporting policy makers in Greece, in designing energy-efficiency policies through the selection of the most effective measures, towards sustainable development. The impact assessment of energy-efficiency measures is based on their macroeconomic, environmental and social implications. Such an evaluation of a quite large number of energy-efficiency measures, regarding both the building and the transport sector and based also on the combination of PROMETHEE and SIMOS methods while performing a sensitivity analysis, is not available in the international literature. The analysis deploys three energy-efficiency co-benefits, derived from energy models and input-output analysis, as well as the cost-effectiveness and the technical feasibility of each measure. This combination of MCDA with input-output analysis is another innovation of the study. The final ranking revealed that, generally, measures in buildings are more effective than those in transportation, while significant differentiations between residential and commercial buildings emerged. [ABSTRACT FROM AUTHOR]

Although climate change risks have been studied for a number of economic sectors, banking has received relatively little attention. The paper proposes a methodology and an associated decision-support tool for quantifying, in monetary terms, the risks for banks from the exposure of their loan recipients and/or applicants to climate change. The framework and tool are applied to a case study based on input from a Greek bank; results indicate that climate change risks for banks are considerable, and thus decision makers need to estimate their magnitude and possibly consider these within the credit management process, and in environmental planning. [ABSTRACT FROM AUTHOR]

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