Quantifying the Relationship between Entrepreneurship and Competitiveness in Developing Countries
Abd-El hamed, H., Emara, A., Saeed Soliman Desoky, E. (2023). Quantifying the Relationship between Entrepreneurship and Competitiveness in Developing Countries. EKB Journal Management System, 37(2), 1757-1783.
Hoda Abd-El hamed; Amira Emara; Eman Saeed Soliman Desoky. "Quantifying the Relationship between Entrepreneurship and Competitiveness in Developing Countries". EKB Journal Management System, 37, 2, 2023, 1757-1783.
Abd-El hamed, H., Emara, A., Saeed Soliman Desoky, E. (2023). 'Quantifying the Relationship between Entrepreneurship and Competitiveness in Developing Countries', EKB Journal Management System, 37(2), pp. 1757-1783.
Abd-El hamed, H., Emara, A., Saeed Soliman Desoky, E. Quantifying the Relationship between Entrepreneurship and Competitiveness in Developing Countries. EKB Journal Management System, 2023; 37(2): 1757-1783.

Quantifying the Relationship between Entrepreneurship and Competitiveness in Developing Countries

المجلة العلمية للبحوث والدراسات التجارية
Volume 37, Issue 2, June 2023, Page 1757-1783  XML PDF (753.32 K)
Document Type: المقالة الأصلية
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Authors
Hoda Abd-El hamed* 1; Amira Emara* 2; Eman Saeed Soliman Desoky* 3
1Professor of Economics and Foreign Trade, Faculty of Commerce and Business Administration, Helwan University.
2Assistant Professor of Economics and Foreign Trade, 2Administration, Helwan University.
3Assistant Lecture, Economics and Foreign trade Department, Al-alson Higher Institute.
Abstract
This research was primarily aimed at determining the effect of entrepreneurship on international competitiveness in the developing countries, with the hypothesis that entrepreneurship has a positive impact on international competitiveness in the developing countries during the study period, from 2011 to 2018.  The VAR model was conducted, allowing each variable in the structure to be endogenous, followed by performing an impulse-response analysis and variance decomposition showing what percentage of fluctuations of an endogenous variable can be explained by itself and others.
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