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Institutions and the resource curse: New insights from causal machine learning
There is a widely held belief that natural resource rents are a blessing if institutions are strong, but a curse if institutions are weak. We use data from 3,800 Sub-Saharan African districts and apply a causal forest estimator to reassess the relationship between institutions and the effects of res...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10234542/ https://www.ncbi.nlm.nih.gov/pubmed/37262065 http://dx.doi.org/10.1371/journal.pone.0284968 |
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author | Hodler, Roland Lechner, Michael Raschky, Paul A. |
author_facet | Hodler, Roland Lechner, Michael Raschky, Paul A. |
author_sort | Hodler, Roland |
collection | PubMed |
description | There is a widely held belief that natural resource rents are a blessing if institutions are strong, but a curse if institutions are weak. We use data from 3,800 Sub-Saharan African districts and apply a causal forest estimator to reassess the relationship between institutions and the effects of resource rents. Consistent with this belief, we document that stronger institutions increase the positive effect of the presence of mining activities on economic development and dampen the negative effect of mining activities on conflict. In contrast, we find that the effects of higher world mineral prices on economic development and conflict in mining districts are non-linear and vary little in institutional quality. |
format | Online Article Text |
id | pubmed-10234542 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-102345422023-06-02 Institutions and the resource curse: New insights from causal machine learning Hodler, Roland Lechner, Michael Raschky, Paul A. PLoS One Research Article There is a widely held belief that natural resource rents are a blessing if institutions are strong, but a curse if institutions are weak. We use data from 3,800 Sub-Saharan African districts and apply a causal forest estimator to reassess the relationship between institutions and the effects of resource rents. Consistent with this belief, we document that stronger institutions increase the positive effect of the presence of mining activities on economic development and dampen the negative effect of mining activities on conflict. In contrast, we find that the effects of higher world mineral prices on economic development and conflict in mining districts are non-linear and vary little in institutional quality. Public Library of Science 2023-06-01 /pmc/articles/PMC10234542/ /pubmed/37262065 http://dx.doi.org/10.1371/journal.pone.0284968 Text en © 2023 Hodler et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Hodler, Roland Lechner, Michael Raschky, Paul A. Institutions and the resource curse: New insights from causal machine learning |
title | Institutions and the resource curse: New insights from causal machine learning |
title_full | Institutions and the resource curse: New insights from causal machine learning |
title_fullStr | Institutions and the resource curse: New insights from causal machine learning |
title_full_unstemmed | Institutions and the resource curse: New insights from causal machine learning |
title_short | Institutions and the resource curse: New insights from causal machine learning |
title_sort | institutions and the resource curse: new insights from causal machine learning |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10234542/ https://www.ncbi.nlm.nih.gov/pubmed/37262065 http://dx.doi.org/10.1371/journal.pone.0284968 |
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