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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 |
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2-s2.0-85127280123.pdf | 1,89 MB | Adobe PDF | View/Open |
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