Evaluating the Effectiveness of Attracting Foreign Direct and Portfolio Investment to Developing Countries Based on the DEA and SFA Methods

Student: Mihel Aleksandr

Educational Programme: Economics (Bachelor)

Year of Graduation: 2021

In this paper, an original combination of two non-parametric methods aimed at evaluating effectiveness of Foreign Direct Investment (FDI) and Foreign Portfolio Investment (FPI) inflows into developing countries. To measure the effectiveness, we use world development indicators and several macro indicators which represent changes in 20 developed countries in a period of 20 years from 2000 to 2019. These non-parametric methods are Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA), which are to be applied to the collected data to complete evaluation process. The aim of the research is to prove the existence of FDI and FPI influence on development of the world and measuring to what extend do these investments affect developing countries.

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