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Cited by 353

The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.

Natural resources and economic growth in Africa: The role of institutional quality and human capital

Zallé, Oumarou·2019·Resources Policy

Abstract

Abstract The aim of this work is to analyse the conditional effects of natural resource dependence on human capital and the quality of institutions on economic growth. Unlike most previous work, which only considers each of these interactive effects separately, this article combines the interactive effects between natural resources and institutions on the one hand and natural resources and human capital on the other in the same model. To do this, we estimated an Autoregressive Distributed Lag model on a sample of 29 countries, in which there was an average level of dependency of 19.53% from 2000 to 2015. Considering the interaction between natural resources and institutional capital on the one hand and natural resources and human capital on the other shows that the coupe human capital-corruption is an appropriate lever to take advantage of natural resources in Africa countries. These results suggest that African countries must simultaneously strengthen investments in human capital and fight against corruption to turn the curse of natural resources into a blessing.

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Metadata

Authors
Zallé, O.
Venue
Resources Policy
Publisher
Elsevier BV
Published
2019-08
Volume
62
Pages
616-624
ISSN
0301-4207 (ISSN-L)
OpenAlex
W2903524524
Cited by
353
References
46
FWCI
44.94
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Natural resources and economic growth in Africa: The role of institutional quality and human capital. https://app.cochat.ai/papers/10.1016/j.resourpol.2018.11.009
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Zallé, O. (2019). Natural resources and economic growth in Africa: The role of institutional quality and human capital. Resources Policy. https://doi.org/10.1016/j.resourpol.2018.11.009

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.