Foreign direct investiment net inflows: data driven analysis Cover Image

Foreign direct investiment net inflows: data driven analysis
Foreign direct investiment net inflows: data driven analysis

Author(s): Ana Gjeorgjevskj, Kostadin Mishev, Irena Vodenska, Lubomir Chitkushev, Dimitar Trajanov
Subject(s): Social Sciences, Economy, Education, Essay|Book Review |Scientific Life, Higher Education , Conference Report, ICT Information and Communications Technologies
Published by: Нов български университет
Keywords: Foreign direct investment; FDI net inflows; GDELT; Data Science

Summary/Abstract: Foreign direct investments (FDIs) are considered an important driver of host countries economic growth, as they provide stable inflow of foreign capital, know-how and technology. FDI determinants have been studied extensively over the past decades and often identified among the different economic, regulatory and stability indicators of the host country. Studying FDI flows has not-trivial challenges too, because of the increased complexity of the multinational enterprises organizational structures and the difficulty this causes when compiling national FDI statistics. The purpose of this work is to study a large set of countries economic, governance and geopolitical indicators with regard to their correlation to the FDI net inflows, while taking into consideration the challenges suggested in the literature. Besides the detailed analysis of the correlations by indicator topic and countries income categories, the main contribution of this work is compilation of a set of geopolitical indicators from the world’s largest events database, GDELT, and correlating them to the FDI net inflows statistics.

  • Issue Year: 14/2018
  • Issue No: 1
  • Page Range: 23-60
  • Page Count: 37
  • Language: English