| Literature DB >> 32529066 |
Allam Hamdan1, Adel Sarea1, Reem Khamis2, Mohammad Anasweh3.
Abstract
This study aims investigate the relationship between expenditure on higher education and economic development in Saudi Arabia. which has invested in higher education and knowledge creation since its independence as part of the sustainable development process. Accordingly, this study aims at conducting an initial survey of the policies of expenditure on higher education in Saudi Arabia and then developing a standard model in which the results of this investment will be measured in achieving the economic development in Saudi Arabia for a period of forty years from (1978) until (2017). Based on econometric instruments; the study model did not succeed in finding a relationship between investment in higher education and economic development in Saudi Arabia.Entities:
Keywords: Causality analysis; Economic development; Economic growth; Economics; Expenditure on higher education; Finance; Natural resource economics; Public economics
Year: 2020 PMID: 32529066 PMCID: PMC7276432 DOI: 10.1016/j.heliyon.2020.e04046
Source DB: PubMed Journal: Heliyon ISSN: 2405-8440
Analysis of the relationship between investment in higher education and economic growth.
| Growth of investment in higher education | Growth rate of GDP in the next five years | ||||
|---|---|---|---|---|---|
| Period | Years | Mean | Period | Years | Mean |
| 1 | 1978–1982 | 96.227 | 2 | 1983–1987 | 0.603 |
| 2 | 1983–1987 | 15.211 | 3 | 1988–1992 | 0.095 |
| 3 | 1988–1992 | -4.430 | 4 | 1993–1997 | 4.752 |
| 4 | 1993–1997 | 5.779 | 5 | 1998–2002 | 2.047 |
| 5 | 1998–2002 | 29.953 | 6 | 2003–2007 | 2.751 |
| 6 | 2003–2007 | -11.536 | 7 | 2008–2012 | 4.536 |
| 7 | 2008–2012 | 23.825 | 8 | 2013–2017 | 4.410 |
| 8 | 2013–2017 | 48.241 | |||
| F-test | 2.248 | 1.190 | |||
| 0.088 | 0.386 | ||||
Unit root results.
| Variables | at the Level | The first difference | |
|---|---|---|---|
| ADF | ADF | ||
| GDP logarithm | LGDP | 2.310 | -4.187∗∗∗ |
| (0.783) | (0.002) | ||
| Labor logarithm | LL | -0.594 | -5.884∗∗∗ |
| (0.860) | (0.000) | ||
| Capital logarithm | LK | 2.514 | -4.408∗∗∗ |
| (0.875) | (0.001) | ||
| Oil price logarithm | LP | -0.964 | -7.712∗∗∗ |
| (0.757) | (0.000) | ||
| Investment in Higher Education logarithm | LEDU | -1.583 | -4.926∗∗∗ |
| (0.481) | (0.000) | ||
| Population logarithm | LPOP | -3.778∗∗∗ | -4.914∗∗∗ |
| (0.007) | (0.000) | ||
| Number of student's logarithm | LSTUD | -2.626∗ | -3.790∗∗∗ |
| (0.097) | (0.006) | ||
Note: ADF is the augmented Dickey-Fuller test. The ADF is based on the null hypothesis of a unit root “not stationarity”. ADF test (top), p-value (bottom). ∗, ∗∗, ∗∗∗, denote rejection of the null hypothesis at 10%, 5%, and 1%.
Unit root results.
| Hypothesized No. of CE(s) | Unrestricted Cointegration Rank Test (Trace) | Unrestricted Cointegration Rank Test (Maximum Eigenvalue) | ||
|---|---|---|---|---|
| Trace test ( | Critical value at 5% | Max-Eigen ( | Critical value at 5% | |
| None | 191.689∗ | 125.615 | 61.693∗ | 46.231 |
| (0.000) | (0.001) | |||
| At most 1 | 124.376∗ | 95.754 | 47.898∗ | 40.078 |
| (0.002) | (0.006) | |||
| At most 2 | 72.115 | 69.819 | 28.271 | 33.877 |
| (0.117) | (0.216) | |||
| At most 3 | 41.269 | 47.856 | 18.523 | 27.584 |
| (0.360) | (0.472) | |||
| At most 4 | 21.059 | 29.797 | 12.479 | 21.132 |
| (0.534) | (0.518) | |||
| At most 5 | 7.444 | 15.495 | 6.367 | 14.265 |
| (0.668) | (0.580) | |||
| At most 6 | 0.497 | 3.841 | 0.455 | 3.841 |
| (0.553) | (0.507) | |||
Notes: Trace test indicates 6 cointegrating eqn(s) at the 0.05 level. ∗ denotes rejection of the hypothesis at the 0.05 level. ∗∗MacKinnon-Haug-Michelis (1999) p-values.
Granger causality results.
| Dependent variable | Independent variable | |
|---|---|---|
| GDP | Investment in Higher Education | |
| GDP | 0.363 (0.698) | |
| Investment in Higher Education | 9.076∗∗∗ (0.001) | |
Notes: The null hypothesis states that there is no causal relationship between independent variables (on the horizontal side) and the dependent variable (on the vertical side). The higher value is for the F-Statistic test and below is the p-value. Symbols mean that there is a causal effect of the independent variable in the dependent at ∗∗∗ 1%, ∗∗ 5%, ∗ 10%, respectively.