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Cited by 227

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

An empirical note on comparison between resource abundance and resource dependence in resource abundant countries

Shahbaz, Muhammad, Destek, Mehmet Akif, Okumus, Ilyas, Sinha, Avik·2019·Resources Policy

Abstract

Abstract This study explores the relative effects of natural resource abundance and natural resource dependence on economic growth for the period of 1980–2015 in 35 natural resource abundant countries. For this purpose, the relationship between economic growth, natural resource rents per capita, natural resource rents share of gross domestic product, capital, trade openness and financial development is examined. In doing so, we utilized with second generation panel data methodologies to take into account the cross-sectional dependence among countries. Our results show the existence of cointegration between the variables. Moreover, natural resource abundance promotes economic growth but natural resource dependence prevents economic activity. This study provides guidelines to utilise natural resources as economic tool to maintain economic development for longer period of time.

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Metadata

Authors
Shahbaz, M., Destek, M. A., Okumus, I., & Sinha, A.
Venue
Resources Policy
Publisher
Elsevier BV
Published
2019-03
Volume
60
Pages
47-55
ISSN
0301-4207 (ISSN-L)
OpenAlex
W2904405717
Cited by
227
References
6
FWCI
37.27
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: An empirical note on comparison between resource abundance and resource dependence in resource abundant countries. https://app.cochat.ai/papers/10.1016/j.resourpol.2018.12.002
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Shahbaz, M., Destek, M. A., Okumus, I., & Sinha, A. (2019). An empirical note on comparison between resource abundance and resource dependence in resource abundant countries. Resources Policy. https://doi.org/10.1016/j.resourpol.2018.12.002

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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.