id,collection,dc.contributor.author,dc.date.accessioned,dc.date.available,dc.date.issued,dc.description.abstract[en],dc.format.extent,dc.identifier.uri,dc.language,dc.rights.uri,dc.subject.ddc,dc.title,dc.title.subtitle,dc.type,dcterms.accessRights.openaire,dcterms.bibliographicCitation,dcterms.bibliographicCitation.url,refubium.affiliation.other,refubium.affiliation[de],refubium.mycore.derivateId,refubium.mycore.fudocsId,refubium.resourceType.isindependentpub,refubium.series.name "4bfe538c-fe49-4947-9910-1bcab3b9f905","fub188/17719","Betzold, Carola||Weiler, Florian","2018-06-08T07:42:56Z","2016-06-09T11:16:35.915Z","2016","In the run-up to Paris, individual countries and multilateral banks made new promises to provide millions of dollars for adaptation (and mitigation) action in developing countries, with a view to reaching the usd 100 billion target announced in Copenhagen and confirmed in Paris. But where are all these funds going to? To what extent do they reach the poorest and most vulnerable, those most in need of support? The focus of this paper is on bilateral aid for adaptation to climate change. Using oecd data on adaptation aid, we examine how donors allocate this aid|and to what extent they indeed prioritise those `particularly' vulnerable to climate change. To understand donor behaviour, we build on the large literature on aid allocation in general, and on adaptation aid in particular. Yet, as opposed to traditional dyadic analyses, we conceptualise aid allocation as a network, in which the provision of adaptation aid is a network tie. This network approach, we argue, is better able to capture interactions between donors, for the allocation decisions of others likely in uence a donor's allocation decision. Donors on the one hand coordinate their allocation, but on the other hand also compete for political and economic influence through the provision of aid, including aid for adaptation. In order to capture these coordination dynamics in addition to the dyadic relationships between donors and recipients we employ Temporal Exponential Random Graph Models. Our analysis indicates that donors consider recipient need and recipient merit when deciding on how to allocate adaptation aid: more vulnerable and more democratic countries are more likely to receive adapation aid. More importantly, however, donors consider their own economic and political interests: trading partners and former colonies are much more likely to receive adaptation aid. Finally, we also found evidence for donor coordination: countries that already receive adaptation aid from other countries are less likely to form additional ties, that is, they are less likely to also receive adaptation aid from additional donors.","18 S.","https://refubium.fu-berlin.de/handle/fub188/18560||http://dx.doi.org/10.17169/refubium-22255","eng","http://www.fu-berlin.de/sites/refubium/rechtliches/Nutzungsbedingungen","300 Sozialwissenschaften::320 Politikwissenschaft||300 Sozialwissenschaften::330 Wirtschaft::333 Boden- und Energiewirtschaft","Allocation of Adaptation Aid","A Network Analysis","Konferenzveröffentlichung","open access","2016 Berlin conference on global environmental change: transformative global climate governance ""aprés Paris"", Berlin 23-24 May 2016","http://www.berlinconference.org/2016/","Otto-Suhr-Institut für Politikwissenschaft / Forschungszentrum für Umweltpolitik (FFU):::5e9c66fc-04c5-475c-8aa1-1ff26e84d936:::0","Politik- und Sozialwissenschaften","FUDOCS_derivate_000000006546","FUDOCS_document_000000024731","no","Berlin conference on global environmental change"