The Impact of Energy Subsidy Reform on Economic Growth in Egypt Over the Period From 2013 to 2020

Mostafa, Mohammed Galal Abdallah

doi:10.32479/ijeep.11210

Cited by 6 publications

(6 citation statements)

References 31 publications

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“…The finding is in line with the findings of Marita, et al (2021) and Mostafa (2021) who found government expenditure to have a significant positive relationship with economic growth in Nigeria.…”

Section: Effect Of Recurrent Expenditure On Administration On Gross N...supporting

confidence: 91%

Effect of Government Recurrent Expenditure on Economic Prosperity in Nigeria

Igwe,

Inyiama

2024

EJAAFR

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The study investigated effect of government recurrent expenditure on economic prosperity in Nigeria. The specific objectives of the study were to examine effect of administration expenditure, economic services expenditure, and social and community services (which are proxies for government recurrent expenditure) on gross national product (proxied by economic prosperity) in Nigeria. The study adopted ex-post facto research design and secondary data were extracted from the CBN Statistical Bulletin for the period 1981 – 2022. The multiple regression was used for the test of hypotheses. Findings showed that, recurrent expenditure on administration (GREA) have a statistically non-significant positive effect on Gross National Product (GNP) in Nigeria with a t-statistic of -0.710148 and p-value of 0.4821. On the other hand, recurrent expenditure on economic services (GREES) has a statistically significant positive effect on GNP in Nigeria with a t-statistic of 2.106309 and p-value of 0.0420. In line with recurrent expenditure on administration, recurrent expenditure on social and community services (GRESCS) have a statistically non-significant positive effect on GNP in Nigeria with a t-statistic of 1.835944 and p-value of 0.0744. This implies that only recurrent expenditure on economic services can be used to predict economic prosperity in Nigeria. The study recommended that administrative efficiency should be improved through the reduction of unnecessary costs and streamlining of processes, supported by regular performance evaluations and the adoption of modern technology. Secondly, investments should prioritize critical infrastructure projects like transportation, energy, and telecommunications, aiming to stimulate economic growth and job creation. Lastly, targeted social programs are encouraged to address specific challenges such as poverty reduction, healthcare access, and education, ensuring adequate funding and effective reach to beneficiaries, while also investing in healthcare infrastructure and supporting community development projects that reduce inequality and promote social stability, resulting in long-term benefits for citizens' well-being.

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Section: Effect Of Recurrent Expenditure On Administration On Gross N...supporting

confidence: 91%

Effect of Government Recurrent Expenditure on Economic Prosperity in Nigeria

Igwe,

Inyiama

2024

EJAAFR

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“…Oil represents the largest source of energy that is used in the world, and therefore it is considered the most important type of natural resource that a country may enjoy (Mostafa, 2022;Mostafa, 2021;Mohamed Ahmed and Mater, 2021;Mostafa, 2022). Therefore, any change in its prices exerts effects on the total variables of the state, including economic growth.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Fluctuating Oil Revenues on Economic Growth: New Evidence from Saudi Arabia

Natto

2024

IJEEP

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The fluctuations that occur in oil revenues are among the main reasons that lead to disruptions in economies that depend on them. Hence, this study aims to find out the impact of fluctuation in oil revenues on the economic growth for the Kingdom of Saudi Arabia during the period from 2000 to 2020. The study showed that the relationship between the fluctuations of oil revenues and economic growth may be either a positive relationship, and this relationship is confirmed in oil-exporting countries, which is the most common relationship, or a negative relationship, and this relationship is confirmed in oil-importing countries, which is the exceptional case. In order to find out the direction of this relationship in the Kingdom, the study used the application of the Autoregressive Distributed Lag Model (ARDL) model. The study concluded that the fluctuations of oil revenues has significant positive effects on the economic growth of the Kingdom of Saudi Arabia in the short and long terms. Therefore, the study recommends the need for the Kingdom to exploit these revenues in areas that achieve a return for it at the present time and in the future, in a manner that guarantees the diversification of the economy and its non-disruption when any disturbances occur in these revenues, as well as keeping part of these revenues in its sovereign fund to guarantee the rights of future generations.

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“…There is no doubt that the climate changes shown in the Figure 1, because of their enormous effects on all developing and developed economies, are of interest to decision-makers in order to try to take decisions that mitigate the effects of these changes on the one hand and work to adapt and confront them on the other hand. One way to adapt to it is to rely on renewable energy sources (Mostafa, 2021;Mostafa and Selmey, 2022;Alhendawya et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Determinants of Renewable Energy Production in Egypt New Approach: Machine Learning Algorithms

Alhendawy,

Abdallah Mostafa,

Elgohari

et al. 2023

IJEEP

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The production of renewable energy has become one of the important elements in the pursuit of sustainable and environmentally friendly economic development, and countries of the world are increasingly adopting renewable energy sources to reduce the carbon footprint and mitigate the effects of climate change. As a result, the goal of this paper is to use different machine learning methods (Random Forest, Gradient Boosting, Support Vector Machine, Naïve Bayes and K-nearest neighbors) to establish which of these algorithms is the most accurate in predicting the values of Egypt's renewable energy production on the one hand, and recognizing the main determinants of this renewable energy production on the other. the paper proved that the Gradient Boosting model is the most accurate machine learning method. It also showed that the main determinant of Egypt's renewable energy production is Governance indicators (60%), then GDP per capita growth by(13%) and Population growth by(10%).As for the rest of the other variables, such as the price of oil , CO2 emissions, Renewable energy technical innovation, Renewable energy adaptation and Energy imports they have no effect. This paper recommends expanding the use of machine learning methods in macroeconomic models.

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The Impact of Energy Subsidy Reform on Economic Growth in Egypt Over the Period From 2013 to 2020

Cited by 6 publications

References 31 publications

Effect of Government Recurrent Expenditure on Economic Prosperity in Nigeria

Effect of Government Recurrent Expenditure on Economic Prosperity in Nigeria

The Impact of Fluctuating Oil Revenues on Economic Growth: New Evidence from Saudi Arabia

Determinants of Renewable Energy Production in Egypt New Approach: Machine Learning Algorithms

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