dc.contributorEscolas::EESP
dc.creatorCamargo, Jhean Steffan Martines de
dc.creatorGala, Paulo
dc.date.accessioned2017-03-13T12:43:21Z
dc.date.available2017-03-13T12:43:21Z
dc.date.created2017-03-13T12:43:21Z
dc.date.issued2017
dc.identifierTD 448
dc.identifierhttp://hdl.handle.net/10438/18037
dc.description.abstractThis paper shows that the Dutch disease can be more formally characterised as low economic complexity using ECI-type indicators; there is a solid and robust inverse relationship between exports concentrating on natural resources and economic complexity as measured by complexity indicators for a database of 122 countries from 1963 to 2013. In a large majority of cases, oil answers for shares in excess of 50% of exports. In addition to empirical panel analysis, we address case studies concerned with Indonesia and Nigeria and introduce a brief review of the theoretical literature on the topic. Indonesia is considered in the literature as a good example in avoiding the negative effects of the Dutch disease, whereas Nigeria is taken as a bad example in terms of institutions and policies adopted during the seventies and eighties. The empirical results show that complexity analysis and Big Data may offer significant contributions to the still-current debate surrounding the Dutch disease.
dc.languageeng
dc.relationEESP - Textos para Discussão;TD 448
dc.subjectDutch disease
dc.subjectEconomic complexity
dc.subjectEconomic development
dc.titleThe resource curse reloaded: revisiting the Dutch disease with economic complexity analysis
dc.typeWorking Paper


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