Greenfield investments projects in manufacturing and electricity: A network analysis.
Our data source is Financial Times (FT) Greenfield investments data base (2003-2016). FT is the most authoritative source of intelligence on real investment in the global economy, and the only source of Greenfield investment data that covers all countries and industries worldwide. The World Bank, Unctad, the Economist Intelligence Unit and more than 100 governments around the world as well as major corporations use the data as the primary source of intelligence on Greenfield investment trends. Our variables are investment projects intentions value and country origin by year. Our analytical technics are network indicators at exploratory level and blockmodel. We clear answer our research questions in the Analysis of the features of the Networks sections. We also highlight that i) the 2008 crisis had a deep impact on the networks equilibrium, ii) it was substantially deeper in electricity than in manufacturing, which suggests that manufacturing web of investment projects was more resilient to exogenous shock, iii) global intentions of investment cohesion and core-periphery relations increased after crises in both sectors. There are also some secondary, but important results: from the network indicators, there was more ties after crises, the network were smaller, the information reached easily, central countries importance in the expectation formation increased substantially in manufacturing but unchanged in electricity, the information to the central countries became shorter after crises, and the flow of expectation sent between dissimilar increases after crises.
Authors
- José Maria Ferreira Jardim da Silveira (ORCID: https://orcid.org/0000-0003-3680-875X)
- Gilson Silva (ORCID: https://orcid.org/0000-0003-2361-9431)
- Henrique Reichert (ORCID: https://orcid.org/0000-0003-4362-3497)
Institutions
- Universidade Estadual de Campinas (UNICAMP) (BR)
- Universidade Federal de Santa Catarina (BR)
- Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina (BR)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-05-15
- DOI
- https://doi.org/10.1371/journal.pone.0316647
- Primary Topic
- Complex Network Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00