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Threshold regressions for the resource curse

Authors :
Nicolas Clootens
Djamel Kirat
Aix-Marseille Sciences Economiques (AMSE)
École des hautes études en sciences sociales (EHESS)-Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)
Laboratoire d'Économie d'Orleans [UMR7322] (LEO)
Université d'Orléans (UO)-Université de Tours (UT)-Centre National de la Recherche Scientifique (CNRS)
This paper has been partly funded by the Agence Nationale de la Recherche (France) under grants Labex VOLTAIRE (ANR-10-LABX-100-01) and ANR-17-EURE-0020
ANR-10-LABX-0100,VOLTAIRE,Geofluids and Volatil elements – Earth, Atmosphere, Interfaces – Resources and Environment(2010)
ANR-17-EURE-0020,AMSE (EUR),Aix-Marseille School of Economics(2017)
École des hautes études en sciences sociales (EHESS)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)
Laboratoire d'Économie d'Orleans (LEO)
Université d'Orléans (UO)-Université de Tours-Centre National de la Recherche Scientifique (CNRS)
ANR-10-LABX-100-01/10-LABX-0100,VOLTAIRE,Geofluids and Volatil elements – Earth, Atmosphere, Interfaces – Resources and Environment(2010)
ANR: 17-EURE-0020,AMSE (EUR),Aix-Marseille School of Economics(2017)
Lhuillier, Elisabeth
Laboratoires d'excellence - Geofluids and Volatil elements – Earth, Atmosphere, Interfaces – Resources and Environment - - VOLTAIRE2010 - ANR-10-LABX-0100 - LABX - VALID
Aix-Marseille School of Economics - - AMSE (EUR)2017 - ANR-17-EURE-0020 - EURE - VALID
Centre National de la Recherche Scientifique (CNRS)-Université de Tours-Université d'Orléans (UO)
Source :
Environment and Development Economics, Environment and Development Economics, 2020, 25 (6), pp.583-610. ⟨10.1017/S1355770X20000297⟩, Environment and Development Economics, Cambridge University Press (CUP), 2020, 25 (6), pp.583-610. ⟨10.1017/S1355770X20000297⟩
Publication Year :
2020
Publisher :
HAL CCSD, 2020.

Abstract

This paper analyzes the behavior of cross-country growth rates with respect to resource abundance and dependence. We reject the linear model that is commonly used in growth regressions in favor of a multiple-regime alternative. Using a formal sample-splitting method, we find that countries exhibit different behaviors with respect to natural resources depending on their initial level of development. In high-income countries, natural resources play only a minor role in explaining the differences in national growth rates. On the contrary, in low-income countries, abundance seems to be a blessing but dependence restricts growth.

Details

Language :
English
ISSN :
1355770X
Database :
OpenAIRE
Journal :
Environment and Development Economics, Environment and Development Economics, 2020, 25 (6), pp.583-610. ⟨10.1017/S1355770X20000297⟩, Environment and Development Economics, Cambridge University Press (CUP), 2020, 25 (6), pp.583-610. ⟨10.1017/S1355770X20000297⟩
Accession number :
edsair.doi.dedup.....1bba1822d4f862e73eea9d81cd06f690