Please use this identifier to cite or link to this item:
http://elar.urfu.ru/handle/10995/111218
Title: | Outflow Fdi and Domestic Investment: Aggregated and Disaggregated Analysis |
Authors: | Ameer, W. Xu, H. Sohag, K. Shah, S. H. |
Issue Date: | 2021 |
Publisher: | MDPI AG MDPI AG |
Citation: | Outflow Fdi and Domestic Investment: Aggregated and Disaggregated Analysis / W. Ameer, H. Xu, K. Sohag et al. // Sustainability (Switzerland). — 2021. — Vol. 13. — Iss. 13. — 7240. |
Abstract: | Recently, the Gulf Cooperation Council (GCC) member countries increased their foreign investment outflows (OFDI), underpinning domestic investment (DCF) and diversifying their economies to reduce the reliance on hydrocarbon economies and augmenting green investments. Thus, our research study examines the effects of OFDI on aggregate capital formation and the de-composing effects of capital formation in to private as well as public investment by applying the common correlation effects (CS-ARDL) panel data methodology in the GCC countries. Our empirical result findings show that OFDI do not significantly spur domestic investment in the GCC countries. However, our disaggregated analysis shows that OFDI significantly contributes to private capital formation only while its contribution to public capital formation remains inconclusive. The extensive public involvement in the economies causes a crowding-out effect, eventually impedes the economic diversification, competitiveness and green activities. Our empirical evidence provides a few policy implications. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. |
Keywords: | CS-ARDL GCC INBOUND FDI OUTBOUND FDI PANEL DATA PRIVATE CAPITAL FORMATION CAPITAL FORMATION COMPETITIVENESS ECONOMIC CONDITIONS GREEN ECONOMY HYDROCARBON INVESTMENT |
URI: | http://elar.urfu.ru/handle/10995/111218 |
Access: | info:eu-repo/semantics/openAccess |
RSCI ID: | 46873749 |
SCOPUS ID: | 85109363197 |
WOS ID: | 000671282300001 |
PURE ID: | 22820711 |
ISSN: | 2071-1050 |
DOI: | 10.3390/su13137240 |
metadata.dc.description.sponsorship: | Funding: This research is funded by the National Social Science Foundation Project of China, grant number 16ZDA038 and also is supported by the International Innovation Team Project of China, grant number 2019GJTD03. |
Appears in Collections: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
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2-s2.0-85109363197.pdf | 1,67 MB | Adobe PDF | View/Open |
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