Document Details
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Document Type |
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Thesis |
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Document Title |
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THE IMPACT OF WORKFORCE NATIONALIZATION (SAUDIZATION) ON SAUDI ARABIA’S ECONOMIC GROWTH BETWEEN (2003-2020) أثر توطين الوظائف ( السعودة) على النمو الاقتصادي في المملكة العربية السعودية (2003 - 2020) |
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Subject |
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Faculty of Economics and Management |
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Document Language |
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Arabic |
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Abstract |
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The objective of this research is to study from an econometric perspective the relationship between non-oil real GDP as a dependent variable and Saudization rate, gross fixed capital formation, total number of workers as independent variables. Also it aims to highlight the development of Saudi Arabia’s labor market, unemployment rate, Saudization programs, and economic growth in the last 18 years. To achieve the objective of the paper and answer the main problem questions, the descriptive method was used to statistically analyze the development of unemployment rate, economic growth, and Saudization rate. Furthermore, ordinary least square (OLS) method was used on the time-series data to estimate the multiple regression model that explains the nature and direction of the relationship between the variables. To test the quality of the model, statistical tests was used such as t-statistic test, F-statistic test, and R2 test as well as residual autocorrelation test (D.W). Augmented Dickey Fuller (ADF) test was used to test the stationarity of the variables and ARDL and Bound tests were used for the cointegration test. The estimated model confirms the assumption of the paper and shows that the gross fixed capital formation elastic coefficient is 0.32, the number of workers elastic coefficient is 0.42, and the Saudization rate coefficient is 1.89. Based on these results, the papers recommend that all governmental entities and private sector must join hands to collaboratively work on enhancing the labor market while simultaneously increasing the capabilities of both academic and technical graduates.
Key word: unemployment, economic growth, workforce nationalization, Saudization, Solow model, multiple linear regression, unit root test (ADF), Autoregressive Distributed Lag Model (ARDL) Bound Test. |
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Supervisor |
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Dr. Bassam Sultan |
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Thesis Type |
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Master Thesis |
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Publishing Year |
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1444 AH
2022 AD |
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Added Date |
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Tuesday, February 21, 2023 |
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Researchers
| حازم عيد الجهني | Al-Juhani, Hazem Eid | Researcher | Master | |
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