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Diagnosing Dutch Disease

Authors: Dan Ciuriak;

Diagnosing Dutch Disease

Abstract

Dutch Disease emerged as a journalistic label that subsequently prompted theoretic treatments in various fields, including trade, growth and development, fiscal policy, monetary policy, industrial policy, and public policy management. The resulting body of theoretical and empirical work demonstrates that resources are not a curse per se but the challenges of managing windfall benefits are great. Because a positive diagnosis is an implicit criticism of public policy and puts vested interests at risk, Dutch Disease is a hot button issue everywhere and everywhen. By the same token, to sift through the arguments that are made in any specific context requires a formal framework that serves as a bulwark against partial and potentially tendentious analysis. In this paper, I suggest a thirteen-point template for diagnosing Dutch Disease, which importantly includes taking into account the lessons from modern firm-level trade theory and empirics.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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