2013
DOI: 10.1007/s10640-013-9698-z
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An Empirical Analysis of a Regional Dutch Disease: The Case of Canada

Abstract: While there has been extensive research on the Dutch Disease (DD), very little attention, if any, has been devoted to the regional mechanisms through which it may manifest itself. This is the first empirical attempt to research a 'regional DD' by looking at the local and spatial impacts of resource windfalls across Canadian provinces and territories. We construct a new panel dataset to examine separately the key DD channels; namely, the Spending Effect (SE) and the Resource Movement Effect (RME). Our analysis … Show more

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Cited by 52 publications
(18 citation statements)
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“…Papyrakis and Raveh () show that provincial resource booms increase provincial inflation in Canada, and Zhang et al () present similar results for China – confirming that this mechanism is applicable at the local level.…”
mentioning
confidence: 73%
“…Papyrakis and Raveh () show that provincial resource booms increase provincial inflation in Canada, and Zhang et al () present similar results for China – confirming that this mechanism is applicable at the local level.…”
mentioning
confidence: 73%
“…Recent empirical evidence and theoretical work provide strong support to a negative link between resource abundance and long-term growth [13,14]. The methodology for empirically assessing "Dutch Disease" usually involves the econometric analysis of time-series or panel data [15] for researching the correlation between resource abundance and the share of tradable sectors in the overall economy [16].…”
Section: Introductionmentioning
confidence: 99%
“…Dülger, Lopcu, Burgaç, and Ballı () tested Russia for Dutch disease by conducting time‐series cointegration tests for two of its symptoms and confirming them. Panel regression (incorporating fixed effects) studies by Beine, Coulombe, and Vermeulen () and Papyrakis and Raveh () assessed and found the presence of Dutch disease in different regions of Canada. Therefore, among the few published empirical research on Dutch disease, early studies used basic estimation techniques like the OLS while later studies used either time‐series or panel data estimation techniques.…”
Section: Literature Reviewmentioning
confidence: 99%