Health outcomes and the resource curse paradox: The experience of African oil-rich countries

Gabriel Olusegun Oduyemi, Taiwo Owoeye and Oluwasegun Adekoya ()

Resources Policy, 2021, vol. 73, issue C

Abstract: This study investigates the hypothesis that the abundance of mineral resources could translate to a resource curse for African oil-rich countries using the panel threshold model. Using three measures of health outcomes, namely life expectancy, mortality rates, and death rates, we find that the response of the health outcomes to resource abundance is very sensitive to the level of economic growth, whether or not interactive variables are considered. For the model without interactive variable, resource rents adversely affect health outcomes at a lower level of growth, while an improvement in health performance is observed at a higher growth level. However, the evidence of resource curse becomes substantially clear when resource rents and health expenditure are interacted to impact health outcomes as the adverse impact is observed regardless of the growth threshold level. Findings have important policy implications.

Keywords: Health outcomes; Resource rents; Resource curse; Threshold level (search for similar items in EconPapers)
JEL-codes: I15 Q32 Q34 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0301420721002154
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:73:y:2021:i:c:s0301420721002154

DOI: 10.1016/j.resourpol.2021.102201

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 ().