数字化转型对埃及就业的影响——基于ARDL模型的应用研究

IF 1.1 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY
Esam Mohamed Elgohary, Reham Oncy Abdel-Aziz
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引用次数: 0

摘要

目前的研究旨在衡量数字转型对埃及就业的影响,此外还制定了一些拟议措施,以维持新共和国的数字愿景,从而降低失业率。因此,本研究试图为这一讨论做出贡献,这引起了两位研究者对本研究问题的关注。使用EViews 12软件,因为本研究依赖于自回归分布滞后方法,从长远来看,该方法给出了最好的结果,并且被认为是本研究中使用的样本量最合适的模型之一。样本量包括从2003年到2020年的18次观测。此外,向量自回归模型被用来测试变量之间的关系,以测试假设,因为它的特点是将进入系统的变量作为相关的内部变量处理。研究结果表明,失业变量对自变量没有因果影响,而教育变量和国内生产总值变量对显著性值小于5%的表达数字化转型的自变量有因果和正向影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The effect of digital transformation on employment in Egypt: An applied study using ARDL model

The current study aims to measure the effect of digital transformation on employment in Egypt, in addition to developing some proposed measures to sustain the digital vision in the New Republic to reduce unemployment. So, this study tries to contribute to this discussion, which attracted the attention of the two researchers to the problem of this research. EViews 12 Software was used as this study depended on the autoregressive distributed lag methodology, which gives the best results in the long run, and is considered one of the most suitable models with the sample size used in this research. The sample size consisted of 18 observations extended from 2003 to 2020. As well as, the Vector Auto-Regression model was used to test the relationship between variables in order to test hypotheses as it is characterized by dealing with the variables entering the system as correlated internal variables. The study results showed that the unemployment variable did not have a causal effect on the independent variables, while the education variable and the Gross domestic product variable had a causal and positive effect on the independent variables that express the transformation digital where the significance value was less than 5%.

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来源期刊
CiteScore
3.60
自引率
15.40%
发文量
51
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