Modelling the behavior of the Venture Capital Industry - evidence from Egypt

Submitted by deseditor on Sat, 05/25/2019 - 16:13
Language
English
English
Degree
M.Sc
Select type of work
CIS Program Old
CIS publications
No
CIS Thesis
Yes
Student Name
Foudah, M. Lotfy
Year of Graduation
2015
CIS Library Call Number
Thesis QFIS IF 2015/2 
Abstract
The objectives of the study, -which is exploratory in nature-, are to investigate the main driving forces that affect the Venture Capital (VC) industry in Egypt, and to test whether there are relationships among the suggested dependent variables. The research is uses two dependent variables to represent the domestic VC industry of Egypt which are; i.e. 1) Patent Application Count which represent the Innovation level, 2) Domestic Credit to Private Sector which represents the private capital funding. Also we use Foreign Direct Investment dependent variable to measure the international investment as a measure of the international VC. Using Stepwise Multiple Regression analysis, we find positive significant relationship between the Foreign Direct Investment and the Net Foreign Assets, the Gross Capital Formation and the Natural Gas Rents (% of GDP), while we find a negative significant relationship with the Broad Money which has a positive correlation with the Inflation that has insignificant negative relationship with the Foreign Direct Investment. For the Domestic Credit to Private Sector, we find a positive significant relationship with the Merchandise Exports, the Foreign Direct Investment and the Manufacturing Value Added (% of GDP), while we find a negative significant relationship with the Gross Savings (% of GDP). We find that Foreign Direct Investment which represents the international VC in our research; is affecting the Domestic Credit to Private Sector model. For the Patent Applications Count, we find a significant positive relationship with the Domestic Credit to Private Sector, the Foreign Direct Investment, the Education Expenditure, the Gross Savings, the Industry Value Added and the Primary Education (Pupils) while negative significant relationship with GDP. We find that both other suggested dependent variables; i.e. Foreign Direct Investment representing the international VC and Domestic Credit to Private sector representing the domestic private capital funding, both are positively and significantly affecting the Patent Application Count representing the innovation level.