Statistical Models to Measure the Impact of Intellectual Property Rights Protection on Foreign Trade in Egypt

Hanaa H. A. Aboul Ela; Hanaa Hussein Ali Aboul Ela;

Abstract


This study aims to estimate the relationship between the Protection of intellectual property rights indices and the
foreign trade index in Egypt from 1995 to 2022. The comparison has been made between many models such as the fully
modified ordinary least squares (FMOLS) model, dynamic ordinary least squares (DOLS) model, Canonical co-integration
regression (CCR) model, and auto-regressive distributed lag (ARDL) model. The results of the study showed that the best
model was the ARDL model to increase its explanatory ability. The study also showed that the most important property rights
protection indicators affecting the foreign trade index are the number of applications and registrations of brands, the number
of patents registered and granted, the number of applications and registrations of industrial designs, and the proportion
of expenditure on research and development as a proportion of gross domestic product (GDP). The estimated model also
passed all diagnostic tests and showed that there was no auto-correlation and no Heteroskedasticity. In addition, it was found
to follow a normal distribution and to be stable.


Other data

Title Statistical Models to Measure the Impact of Intellectual Property Rights Protection on Foreign Trade in Egypt
Authors Hanaa H. A. Aboul Ela; Hanaa Hussein Ali Aboul Ela 
Keywords Foreign trade; Intellectual property rights (IPR) protection; Full modified ordinary least squares (FMOLS) model; Dynamic ordinary least squares (DOLS) model; Canonical co-integration regression (CCR) model; Auto-regressive distributed lag (ARDL) model
Issue Date 2024
Publisher Published online in International Academic Press (www.IAPress.org)
Journal STATISTICS, OPTIMIZATION AND INFORMATION COMPUTING 
Volume 12
Issue March 2024
Start page 510
End page 523
DOI 10.19139/soic-2310-5070-1870

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