Long-run cointegration between foreign direct investment, direct investment and unemployment in South Africa
Namapsa Chella and
Andrew Phiri
MPRA Paper from University Library of Munich, Germany
Abstract:
The primary objective of this paper is to investigate the relationship between foreign direct investment, domestic investment and unemployment in South Africa. Our mode of empirical investigation is the autoregressive distributive lag (ARDL) cointegration model which provides the advantage of accommodating for a mixture of levels stationary and difference stationary time series variables and is applied to quarterly data collected between 1970 and 2014. Our empirical results point to the existence of a negative effect of domestic investments on unemployment levels whereas foreign direct investment appears to have no significant effect on reducing unemployment levels. Collectively, these results hold crucial implications for South African policymakers.
Keywords: FDI; domestic investment; unemployment; ARDL; cointegration; South Africa; developing country. (search for similar items in EconPapers)
JEL-codes: C22 C32 E22 E24 (search for similar items in EconPapers)
Date: 2017-11-02
New Economics Papers: this item is included in nep-int and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/82371/1/MPRA_paper_82371.pdf original version (application/pdf)
Related works:
Working Paper: Long-run cointegration between foreign direct investment, direct investment and unemployment and South Africa (2017) 
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:pra:mprapa:82371
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().