Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/132470
Title: Research methods in economics and its implications for capital formation
Authors: Ameer, W.
Xu, H.
Sohag, K.
Halwan, M. M.
Amin, A.
Issue Date: 2022
Publisher: Taylor and Francis Ltd.
Citation: Ameer, W, Xu, H, Sohag, K, Halwan, MM & Amin, A 2022, 'Research methods in economics and its implications for capital formation', Economic Research-Ekonomska Istrazivanja, Том. 35, № 1, стр. 5536-5555. https://doi.org/10.1080/1331677X.2022.2030244
Ameer, W., Xu, H., Sohag, K., Halwan, M. M., & Amin, A. (2022). Research methods in economics and its implications for capital formation. Economic Research-Ekonomska Istrazivanja, 35(1), 5536-5555. https://doi.org/10.1080/1331677X.2022.2030244
Abstract: We explore whether public or private capital augments or obstruct Foreign Direct Investment (FDI) inflows by decomposing Domestic Capital Formation (DCF) into private and public capital formation. To this end, we apply Cross-Sectional Autoregressive Distributed Lags (CS-ARDL) approach to analyze panel time-series data. Our empirical results show that public capital crowds in FDI inflows while private capital crowds out FDI inflows. However, institutional quality significantly attracts FDI inflows for less developing economies. We argue that private and public capital possess different attributes; thus, clubbing them together might result in aggregation bias. We observe a strong connection of good institutional quality with private and public capital to augment foreign capital inflows for developing countries in the long run. Besides, our empirical results suggest that returns are high with quality institutions, especially for developing regions. Our result estimations provide several policy implications. © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Keywords: CROSS-SECTIONAL DEPENDENCY
DOMESTIC CAPITAL FORMATION
FDI
INSTITUTIONAL QUALITY
PANEL DATA
CAPITAL
CAPITAL FORMATION
DEVELOPING WORLD
ECONOMICS
EMPIRICAL ANALYSIS
FOREIGN DIRECT INVESTMENT
PANEL DATA
TIME SERIES ANALYSIS
URI: http://elar.urfu.ru/handle/10995/132470
Access: info:eu-repo/semantics/openAccess
cc-by
Conference name: 27 May 2021 through 28 May 2021
Conference date: 4th International Scientific and Practical Conference on Sustainable Development and Green Growth on the Innovation Management Platform, SDGG 2021
SCOPUS ID: 85127280123
WOS ID: 000780374000001
PURE ID: c1837659-6e35-4166-b2b2-53f6a238b9fc
30943595
ISSN: 1331-677X
DOI: 10.1080/1331677X.2022.2030244
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

Files in This Item:
File Description SizeFormat 
2-s2.0-85127280123.pdf1,89 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.