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THREE INTERNATIONAL STATISTICAL INDICATORS AND THEIR FACTORIAL IMPACT ON THE MODELLING OF FOREIGN INVESTMENTS IN ROMANIA

Gheorghe Săvoiu () and Simina Brostescu
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Simina Brostescu: Craiova University

Romanian Statistical Review Supplement, 2017, vol. 65, issue 8, 174-188

Abstract: The article provides a creative investigation into FDI, based on three major international statistical indicators of major signaling nature. Among the indicators of the country risk rating, Euromoney (ECR) was selected after successive evaluations. The second relevant statistical indicator, which was selected and validated, was the Corruption Perceptions Index (CPI) created by Transparency International, and the last one was the Economic Freedom Index (EFI), conducted by the Heritage Foundation. The article identifies the factorial impact of those three international statistical indicators in modelling the FDI volume, referring to these specific issues in the concrete case of Romania. The introduction presents the concept of investment alongside a series of international investment typologies. A section devoted to specialized literature lists the international investment theories and a number of derived modelling factors. In a necessary and succinct methodological section, the databases are also presented that were used as sources in the paper, and the discussion and analysis of the results, starting from a matrix of correlation of the development of FDI, facilitates the realization of a small number of more or less performing models and solutions. Finally, it was found that there is at least one model capable of providing a realistic FDI prognosis, starting from three international statistical indicators that give a sufficiently clear outline of a national economy, and parameterization temporally validates the predictive quality of the specific ISD model.

Keywords: statistical indicator; factorial impact; correlation matrix; modelling; foreign direct investment (FDI) (search for similar items in EconPapers)
JEL-codes: C32 E22 E27 F21 G11 O16 O41 (search for similar items in EconPapers)
Date: 2017
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