Downloads provided by UsageCounts
handle: 10261/1769 , 2268/226378 , 2072/1794
This study aims at analyzing the determinants of FDI (foreign direct investment) inflows for a group of European regions. The originality of this approach lies in the use of disaggregated regional data. First, we develop a qualitative description of our database and discuss the importance of the macroeconomic determinants in attracting FDI. Then, we provide an econometric exercise to identify the potential determinants of FDI. In spite of choosing regions presenting economic similarities, we show that regional FDI inflows rely on a combination of factors that differs from one region to another.
Rosella Nicolini’s research is supported by a Ramon y Cajal contract of the Spanish Ministerio de Ciencia y Tecnología.
Business & economic sciences, Special economic topics (health, labor, transportation...), Foreign Direct Investment, Productivity, Regions, Foreign Direct Investment, Productivity, Regions., Foreign Direct Investment, Domaines particuliers de l’économie (santé, travail, transport...), Regions, Inversions estrangeres -- Europa, Sciences économiques & de gestion, Productivity, jel: jel:F20, jel: jel:R10, jel: jel:O47, jel: jel:O18
Business & economic sciences, Special economic topics (health, labor, transportation...), Foreign Direct Investment, Productivity, Regions, Foreign Direct Investment, Productivity, Regions., Foreign Direct Investment, Domaines particuliers de l’économie (santé, travail, transport...), Regions, Inversions estrangeres -- Europa, Sciences économiques & de gestion, Productivity, jel: jel:F20, jel: jel:R10, jel: jel:O47, jel: jel:O18
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 19 | |
| downloads | 67 |

Views provided by UsageCounts
Downloads provided by UsageCounts