Resource curse hypothesis and role of oil prices in USA
Muhammad Shahbaz,
Khalid Ahmed,
Aviral Tiwari and
Zhilun Jiao
Resources Policy, 2019, vol. 64, issue C
Abstract:
This paper employs an augmented production function to examine resource curse hypothesis by incorporating oil prices as an additional determinant of economic growth. In doing so, the bounds testing approach to cointegration is applied in the presence of structural breaks in the series. The directional of causal association between the variables is examined by applying the VECM Granger causality approach. The empirical results show the existence of long run relationship between the variables. Moreover, natural resource abundance is negatively linked with economic growth confirms the validation of resource curse hypothesis. The nonlinear relationship between natural resource abundance and economic growth is inverted U-shaped. Oil prices add in economic growth. Capitalization increases economic growth. Labor boosts economic growth. The causality analysis reveals the unidirectional causal relationship running from natural resource abundance to economic growth. The feedback effect exists between oil prices and economic growth. Capitalization causes economic growth and in return, economic growth causes capitalization in Granger sense.
Keywords: Natural resources; Economic growth; Oil prices; USA (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0301420718306846
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Resource Curse Hypothesis and Role of Oil Prices in USA (2019) 
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:64:y:2019:i:c:s0301420718306846
DOI: 10.1016/j.resourpol.2019.101514
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 ().