The Relation Between Migration and Fdi in the Oecd From a Complex Network Perspective

Garas, Antonios; Λαπατίνας, Αθανάσιος; Poulios, Konstantinos

doi:10.1142/s0219525916500090

“…Our results might be compared with those presented by Garas et al 18 in their description of the IFDIN. Both the IMAN and the IFDIN have a low density and low clustering.…”

Section: Discussionsupporting

confidence: 64%

“…Borrowing from the broad literature related to the ITN, a possible extension of this research would be to explore the determinants of the architecture of the network following traditional economic modeling 30 and null network models 31 . In addition, given the interplay and complementary of trade, migration, financial investment, and M&As flows, it would be interesting to develop a multilayer network analysis 10,18,28 . This could provide new insights on the international relations, and the movement of goods and factors of production that shape globalization.…”

Section: Discussionmentioning

confidence: 99%

Spatio-Temporal Patterns of the International Merger and Acquisition Network

Dueñas

¹

,

Mastrandrea

²

,

Barigozzi

³

et al. 2017

Sci Rep

View full text Add to dashboard Cite

This paper analyses the world web of mergers and acquisitions (M&As) using a complex network approach. We use data of M&As to build a temporal sequence of binary and weighted-directed networks for the period 1995–2010 and 224 countries (nodes) connected according to their M&As flows (links). We study different geographical and temporal aspects of the international M&A network (IMAN), building sequences of filtered sub-networks whose links belong to specific intervals of distance or time. Given that M&As and trade are complementary ways of reaching foreign markets, we perform our analysis using statistics employed for the study of the international trade network (ITN), highlighting the similarities and differences between the ITN and the IMAN. In contrast to the ITN, the IMAN is a low density network characterized by a persistent giant component with many external nodes and low reciprocity. Clustering patterns are very heterogeneous and dynamic. High-income economies are the main acquirers and are characterized by high connectivity, implying that most countries are targets of a few acquirers. Like in the ITN, geographical distance strongly impacts the structure of the IMAN: link-weights and node degrees have a non-linear relation with distance, and an assortative pattern is present at short distances.

show abstract

“…Borrowing from the broad literature related to the ITN, a possible extension of this research would be to explore the determinants of the architecture of the network following traditional economic modeling 30 and null network models 31 . In addition, given the interplay and complementary of trade, migration, financial investment, and M&As flows, it would be interesting to develop a multilayer network analysis 10,18,28 . This could provide new insights on the international relations, and the movement of goods and factors of production that shape globalization.…”

Section: Discussionmentioning

confidence: 99%

Spatio-Temporal Patterns of the International Merger and Acquisition Network

Dueñas

¹

,

Mastrandrea

²

,

Barigozzi

³

et al. 2017

SSRN Journal

0

View full text Add to dashboard Cite

This paper analyses the world web of mergers and acquisitions (M&As) using a complex network approach. We use data of M&As to build a temporal sequence of binary and weighted-directed networks for the period 1995-2010 and 224 countries (nodes) connected according to their M&As flows (links). We study different geographical and temporal aspects of the international M&A network (IMAN), building sequences of filtered sub-networks whose links belong to specific intervals of distance or time. Given that M&As and trade are complementary ways of reaching foreign markets, we perform our analysis using statistics employed for the study of the international trade network (ITN), highlighting the similarities and differences between the ITN and the IMAN. In contrast to the ITN, the IMAN is a low density network characterized by a persistent giant component with many external nodes and low reciprocity. Clustering patterns are very heterogeneous and dynamic. High-income economies are the main acquirers and are characterized by high connectivity, implying that most countries are targets of a few acquirers. Like in the ITN, geographical distance strongly impacts the structure of the IMAN: link-weights and node degrees have a non-linear relation with distance, and an assortative pattern is present at short distances.In the past two decades foreign direct investments (FDI) have become a major source of capital inflows for both developed and developing countries 1 , with mergers and acquisitions (M&As) as the dominant mode of FDI, representing more than 80% of total national FDI 2 . In recent years, within the framework of a complex-network perspective, an increasing body of literature has been studying international trade [3][4][5][6][7][8][9][10][11][12] , financial flows between countries, mostly considering transactions in equity securities, such as common stock and debt securities 13,14 , and, more recently, both financial and trade flows together 10,15,16 . The statistical analysis of these networks can complement traditional international trade and investment indicators, and can help explaining country growth and development patterns.Although the study of the determinants of M&As has been of great interest to economists, only recently the attention has been focused on the topological properties of cross-border M&As as a network of complex interactions (in terms of M&As flows) between countries (nodes). Two recent contributions analysed cross-border investments for specific regions. Sánchez Díez et al.17 studied the role of Spanish investments in Latin America. They showed that Spain had played a central role in Latin American investments that recently decreased with the arrival of new investors. Using data from the OECD, Garas et al.18 explored the properties and the link between the international migration network and the international FDI network (IFDIN), employing undirected network statistics and stocks of FDI. Using a gravity model, they found a strong relation among FDI and migration for those countries that are more ...

show abstract

“…A. Garas, A. Lapatinas, K. Poulios explored, based on a panel data analysis, the relationship between human migration and OECD's foreign direct investment [Garas et al 2016]. J. Alcaraz and E. Salamanca identified the relationship between the international movement of enterprises and their location, and the direction of international migration (immigration/emigration) [Alcaraz, Salamanca 2018].…”

Section: Related Researchmentioning

confidence: 99%

Modelling factors connected with the effect of international migration for security and economy

Berezka

¹

,

Kovalchuk

²

2019

View full text Add to dashboard Cite

This article concerns research conducted on the casual connections between modern global migratory processes and basic socioeconomic and safety indexes for countries around the world countries. On the basis of new official dataset there was developed a cluster model of countries distributed according to the basic indicators which characterize migratory streams (emigration/ immigration), safety and macroeconomic indexes, related to the international migration. It is established that, in general, people are moving to safer countries that can provide them with better opportunities and social guarantees. The factor models for emigration and immigration processes, and international migration in general have been constructed. The main factors that prompt people to change their place of residence and the economic and safe effects of unprecedented levels of international migration are revealed. The empirical research examined in this paper confirmed the causal link between the volumes of international migration flows and the growth of Foreign Direct Investment in home countries and the reduction of security in host countries. The lack of statistical connection between immigration and emigration flows has been established.

show abstract

The Relation Between Migration and Fdi in the Oecd From a Complex Network Perspective

Cited by 20 publications

References 38 publications

Spatio-Temporal Patterns of the International Merger and Acquisition Network

Spatio-Temporal Patterns of the International Merger and Acquisition Network

Spatio-Temporal Patterns of the International Merger and Acquisition Network

Modelling factors connected with the effect of international migration for security and economy

Contact Info

Product

Resources

About