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dc.contributor.authorCarmignani, Fabrizio
dc.contributor.editorRohde, Nicholas
dc.contributor.editorNaranpanawa, Athula
dc.date.accessioned2020-01-16T07:56:27Z
dc.date.available2020-01-16T07:56:27Z
dc.date.issued2014
dc.identifier.issn1837-7750
dc.identifier.otherRePEc:gri:epaper:economics:201405
dc.identifier.urihttp://hdl.handle.net/10072/390441
dc.description.abstractWhat are the macroeconomic implications of having a resource-rich neighbour? The voluminous literature on the curse of natural resources exclusively focuses on "domestic" effects; that is, how resource intensity in country i affects country i's development. Still, there are good reasons to believe that the effects of natural resources can spread across the borders. This paper is a first attempt at understanding how the resources located in country j affect the income dynamics of its neighbour country i. Using a standard spatial econometrics approach, a measure of neighbourhood resource intensity is constructed for each of 147 countries. This measure, together with domestic resource intensity and a set of controls to account for the role of geography, culture, and institutional quality, is used as an explanatory variable in income and growth regressions. The main finding is that neighbourhood resource intensity reduces domestic income and growth, while domestic resource intensity has generally no negative effect. Interestingly, the negative spatial effect of natural resources becomes statistically less significant (and possible even insignificant) when neighbourhoods are characterized by higher income and better institutions. This in turn provides some ground for interpretation and policy recommendations.
dc.format.extent25 pages
dc.languageEnglish
dc.publisherGriffith University
dc.publisher.placeBrisbane, Australia
dc.relation.ispartofpagefrom1
dc.relation.ispartofpageto25
dc.subject.keywordsO13 - Economic Development: Agriculture; Natural Resources; Energy; Environment; Other Primary Products
dc.subject.keywordsC31 - Multiple or Simultaneous Equation Models: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Inte
dc.subject.keywordsO11 - Macroeconomic Analyses of Economic Development
dc.subject.keywordsO40 - Economic Growth and Aggregate Productivity: General
dc.subject.keywordsSpatial resource curse
dc.subject.keywordsincome regressions
dc.subject.keywordsgrowth regressions
dc.title2014-05: The spatial curse of natural resources (Working paper)
dc.typeReport
dc.type.descriptionDiscussion Paper
gro.facultyGriffith Business School
gro.description.notepublicEconomics and Business Statistics
gro.rights.copyrightCopyright © 2010 by author(s). No part of this paper may be reproduced in any form, or stored in a retrieval system, without prior permission of the author(s).
gro.date.issued2014
gro.hasfulltextFull Text
gro.griffith.authorCarmignani, Fabrizio


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