Military spending crowding out health and education spending: which views are valid in Egypt?
2023
- 10Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage10
- Abstract Views10
Article Description
This study examines the relationship between government spending, specifically military spending, government spending on health, government spending on education, and economic growth in Egypt over the period from 1980 to 2021. The paper utilizes a Granger causality test to detect the directional relationship between spending components and GDP growth. Furthermore, an autoregressive distributed lag (ARDL) model, including error-correction models, was established to determine the long- and short-term relationships among these variables.The study contrasts Wagner’s versus Keynes’s views of the government spending relationship with economic growth, with a greater emphasis on Keynes’s argument for military spending enhancing economic growth. While previous studies have investigated the relationship between aggregate spending and economic growth from a single or two-way direction of causality, the present study contributes to the literature by exploring the possibility of military spending crowding out spending on health and education and detecting this causality and dynamic relationship.The empirical results support the Keynesian view of causality from all government spending components to economic growth. However, short- and long-term analyses revealed a negative relationship between military spending and economic growth. Moreover, the short-term impact of government spending on education and health on economic growth is negative, but positive in the long term. Finally, the causality test revealed that military spending influences health and education spending. Additionally, a unidirectional relationship exists between military spending and health expenditure, which requires further research.The policy implication of this study shows that although spending is exogenous to economic growth, it does not align with the Keynesian view of inducing growth. Instead, spending has negative current and future implications for economic development.
Bibliographic Details
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know