@TECHREPORT{oei_672, ota_publtyp = {Bericht}, oei_publtyp = {Studie}, title = {Decomposition analysis of EEG surcharge for promotion of power generation from renewable energies under the German Renewable Energy Sources Act (EEG)}, author = {Loreck, C. and Matthes, F. and Hermann, H. and Jung, F.}, year = {2012}, language = {en}, url = {/oekodoc/1603/2012-458-en.pdf}, abstract = {The influence of very diverse factors on the German EEG surcharge makes it difficult to attribute specific shares of the surcharge to the rules and factors at hand. In the case of a sequential analysis (where the factors are layered on one after the other) the ranking of the influencing factors considered plays a substantial, and sometimes an overriding, role in quantitatively specifying the shares of the different factors. Against this background it is necessary to use a more suitable method to analyse the composition of the German EEG surcharge. For a multi-factorial problem requiring explanation such as this, so-called component or decomposition analysis can be used.}, keywords = {Energie und Klimaschutz} }