Testing natural resource curse hypothesis amidst geopolitical risk: Global evidence using novel Fourier augmented ARDL approach
Qasim Raza Syed,
Farah Durani,
Khalid M. Kisswani,
Andrew Adewale Alola,
Aaliyah Siddiqui and
Ahsan Anwar
Resources Policy, 2024, vol. 88, issue C
Abstract:
Amid global and geopolitical conflicts and other related scenarios, the role of natural resources abundance on present and future economic growth and development remains a question of importance. A plethora of literature has already explored the validity of the natural resource curse hypothesis, however, the analysis at the global level remains disregarded. On top of this, the role of geopolitical risk in the natural resource curse framework is also ignored in the prior literature. Hence, this study attempts to test the resource curse hypothesis amidst geopolitical risk by using global data. We adopt the novel Fourier augmented autoregressive distributed lag (ARDL) approach for robust empirical analysis. The findings claim that natural resources promote economic growth, thus, invalidating the resource curse hypothesis. However, the interaction of natural resources and geopolitical risk hinders economic growth, thus validating the natural resource curse hypothesis as induced by geopolitical conflicts. Moreover, the findings show that capital stock and technological innovation promote global economic output. These findings suggest that proactive measures that potentially minimize geopolitical risk are vital for the prevention of the natural resource curse.
Keywords: Natural resources; Geopolitics; Fourier augmented ARDL; Natural Resources; Curse (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0301420723010280
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jrpoli:v:88:y:2024:i:c:s0301420723010280
DOI: 10.1016/j.resourpol.2023.104317
Access Statistics for this article
Resources Policy is currently edited by R. G. Eggert
More articles in Resources Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().