Please use this identifier to cite or link to this item:
http://hdl.handle.net/10362/111448
Title: | Foreign direct investment |
Author: | Lima, Filipa Pinheiro, Flávio L. Silva, João Falcão Matos, Pedro |
Keywords: | Foreign direct investment Network analysis Visualisation tools SDG 10 - Reduced Inequalities |
Issue Date: | Feb-2020 |
Publisher: | Bank of International Settlements |
Abstract: | Understanding the role of foreign direct investment (FDI) is of utmost importance in a world economy of increasingly interdependent economies. However, the lack of an unified data source of FDI covering a long time frame has posed serious challenges to its analysis. In this article we apply methods of network analysis to build a representation of the global FDI relationships. We show how the network representation of the global FDI can be used to identify patterns, identify preferential paths for investment, establish trends and describe the relations between countries over time. We present the results by using specific visualisation tools that graphically illustrate the interlinkages between the economies, and that can be a valuable instrument for the design and deployment of regulating instruments. |
Description: | Lima, F., Pinheiro, F. L., Silva, J. F., & Matos, P. (2020). Foreign direct investment: using network analysis to understand the position of Portugal in a global FDI network. In Bridging measurement challenges and analytical needs of external statistics: evolution or revolution?: Proceedings of the IFC Conference on external statistics, Lisbon, Portugal, 17-18 February 2020 (pp. 1-16). (IFC Bulletin; No. 52). Bank of International Settlements. https://www.bis.org/ifc/publ/ifcb52.htm |
Peer review: | yes |
URI: | http://hdl.handle.net/10362/111448 |
ISBN: | 978-92-9259-421-3 |
ISSN: | 1991-7511 |
Appears in Collections: | NIMS: MagIC - Documentos de conferências internacionais |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Foreign_direct_investment_using_network_analysis.pdf | 3,59 MB | Adobe PDF | View/Open |
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.