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

  • Hanaa Hussein Ali Faculty of Business, Ain Shams University
Keywords: Foreign trade; Intellectual property rights (IRP) protection; Full modified ordinary least squares (FMOLS) model; Dynamic ordinary least squares (DOLS) model; Canonical co-integration regression (CCR) model; Autoregressive distributed lag (ARDL) model.


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 full modified ordinary least squares (FMOLS) model, dynamic ordinary least squares (DOLS) model , canonical co-integration regression (CCR) model and autoregressive distributed lag (ARDL) model. The results of the study showed that the best model was the ARDL model to increase its interpretive capacity. 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 autocorrelation, no Heteroskedasticity. In addition, it was found to follow a normal distribution and to be stable.


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How to Cite
Ali, H. H. (2024). Statistical Models to Measure the Impact of Intellectual Property Rights Protection on Foreign Trade in Egypt. Statistics, Optimization & Information Computing, 12(2), 510-523.
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