TY - JOUR
T1 - Understanding the dynamics of the global FDI architecture: a network analysis
AU - Spelta, Alessandro
AU - Pecora, Nicolo'
AU - Chen, Hung-Ju
AU - Huang, Bihong
PY - 2024
Y1 - 2024
N2 - Understanding Foreign Direct Investments (FDI) networks is crucial for both economic and societal reasons. While FDI can boost growth and development, it can also harm the environment if not properly managed. This paper employs network theory to analyze the evolution of the FDI network. We delve into the topological properties of the FDI network, considering country-to-country aggregate relationships and industry sub-networks. We observe contrasting patterns in node importance, such as an increasing centralization in the aggregate network and a more uniform distribution in industry sub-networks. Furthermore, we examine the presence of core-periphery, revealing an emergent core in the aggregate FDI network and a decreasing core-periphery structure in industry sub-networks over time. Our analysis also uncovers preferential attachment regimes at the aggregate level, influenced by cumulative advantage of early entrants. At industry level, instead, the economic catch-up by latecomers makes new links to be established irrespective of the time firms have entered the market. Finally, to reproduce our empirical findings, we introduce a network-building algorithm grounded on a fitness function, capturing the observed heterogeneity in industry sub-networks.
AB - Understanding Foreign Direct Investments (FDI) networks is crucial for both economic and societal reasons. While FDI can boost growth and development, it can also harm the environment if not properly managed. This paper employs network theory to analyze the evolution of the FDI network. We delve into the topological properties of the FDI network, considering country-to-country aggregate relationships and industry sub-networks. We observe contrasting patterns in node importance, such as an increasing centralization in the aggregate network and a more uniform distribution in industry sub-networks. Furthermore, we examine the presence of core-periphery, revealing an emergent core in the aggregate FDI network and a decreasing core-periphery structure in industry sub-networks over time. Our analysis also uncovers preferential attachment regimes at the aggregate level, influenced by cumulative advantage of early entrants. At industry level, instead, the economic catch-up by latecomers makes new links to be established irrespective of the time firms have entered the market. Finally, to reproduce our empirical findings, we introduce a network-building algorithm grounded on a fitness function, capturing the observed heterogeneity in industry sub-networks.
KW - Centrality measures
KW - Core periphery
KW - FDI
KW - International linkages
KW - Network analysis
KW - Centrality measures
KW - Core periphery
KW - FDI
KW - International linkages
KW - Network analysis
UR - http://hdl.handle.net/10807/305037
UR - https://link.springer.com/article/10.1007/s10479-024-06382-x
U2 - 10.1007/s10479-024-06382-x
DO - 10.1007/s10479-024-06382-x
M3 - Article
SN - 0254-5330
SP - N/A-N/A
JO - Annals of Operations Research
JF - Annals of Operations Research
ER -