Economic development, energy consumption, financial development, and carbon dioxide emissions in Saudi Arabia: new evidence from a nonlinear and asymmetric analysis

Raggad, Bechir

doi:10.1007/s11356-020-08390-3

Cited by 50 publications

(10 citation statements)

References 104 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fourth, the results revealed logically that energy consumption is a key factor determinant of environmental degradation in these countries. Whereas, it is clear the biggest effect of ENE on CO 2 emissions is in the Saudi Arabia case confirming the results of Raggad ( 2020 ) and, Agboola et al ( 2021 ) results, where the increase in ENE by 1% increases CO 2 emissions by 1.87% and 0.84% in the long and short run respectively. Hence, Saudi Arabia is one of the top three exporter countries in the world with its huge company ARAMCO.…”

Section: Resultssupporting

confidence: 83%

The impact of economic uncertainty, economic growth and energy consumption on environmental degradation in MENA countries: Fresh insights from multiple thresholds NARDL approach

Ayad¹,

Sari-Hassoun²,

Usman

et al. 2022

Environ Sci Pollut Res

View full text Add to dashboard Cite

This paper explores the influence of economic policy uncertainty on environmental quality in selected MENA countries depending on an augmented STIRPAT model over the period 1970–2020. ARDL model and its extensions like augmented ARDL, augmented NARDL, and MTNARDL models are applied to detect any possible effect from uncertainty index to carbon dioxide (CO 2 ) emissions. The empirical results reveal the validity of environmental Kuznet curve (EKC) curve in all the countries. Moreover, the results show that the uncertainty index enhances environmental degradation, especially in extremely large changes in Morocco, Turkey, and Iran. Besides, the findings reveal that energy consumption and population in the entire sample escalates CO 2 emissions over the study period. Consequently, policymakers in MENA countries should consider the economic uncertainty index, particularly in light of its recent rise, when developing any strategies and plans aimed at improving environmental standards, as well as the need to encourage the use of renewable energies in order to increase the percentage of their contribution to total energy consumption.

show abstract

Section: Resultssupporting

confidence: 83%

The impact of economic uncertainty, economic growth and energy consumption on environmental degradation in MENA countries: Fresh insights from multiple thresholds NARDL approach

Ayad¹,

Sari-Hassoun²,

Usman

et al. 2022

Environ Sci Pollut Res

View full text Add to dashboard Cite

show abstract

“…According to Eberhardt & Teal (2011), panel estimation frameworks with different slope coefficients is an active area. Several studies have revealed that size of the population, technological progress, and economic growth are the major determinants of CO2 emissions (Ali & Nitivattananon, 2012;Raggad 2020;Andersson et al 2009;Khoshnevis et al 2019;Wang et al 2019;Odugbesan & Rjoub 2020). To investigate the factors encompassed in the STIRPAT model that impact CO2 emissions the MINT economies, equation 5 was formulated as follows;…”

Section: Modelmentioning

confidence: 99%

Determinants of CO2 Emissions in Emerging Markets: An Empirical Evidence from MINT Economies

Adebayo

Awosusi

Adeshola

2020

Int. J. Renew. Energy Dev.

View full text Add to dashboard Cite

CO2 emission is one the major contributor to climate change that the top CO2 emitting countries are always trying to mitigate. In an attempt to fill the gap in energy and environmental literature, this study explores the interaction between economic growth, energy usage, trade and urbanization on CO2 emission for MINT economies using the time coverage from 1980 to 2018, providing new perspectives into the literature by employing panel data analysis. Aiming to create robust outcomes, this paper deployed both conventional and modern econometric techniques. The panel co-integration test revealed evidence of the co-integration between CO2 and its determinants in the MINT economies. In order to explore the linkages between CO2 and its determinants, the ARDL PMG model was utilized in MINT economies. Findings based on the ARDL PMG reveals; (i) positive interconnection between CO2 emissions and energy usage; (ii) no significant link was found between CO2 and economic growth; (iii) urbanization influence CO2 positively while a negative link was found between CO2 and trade. Furthermore, the Dumitrescu-Hurlin Causality test revealed; (i) uni-directional causality from CO2 to urbanization; (ii) GDP growth cause CO2 while CO2 causes energy usage. Based on these findings, recommendations were put forward. ©2020. CBIORE-IJRED. All rights reserved

show abstract

“…Renewable energy consumption and economic growth also have the expected signs based on the literature review, while financial development does not conform to a priori expectations. The findings of the long-run positive relationship between economic growth and CO 2 emissions are corroborated by [28]. However, their findings of significant short-run interconnection between CO 2 emissions and economic growth are a sharp contrast.…”

Section: Discussionmentioning

confidence: 82%

Analysis of the Dynamic Relationships among Renewable Energy Consumption, Economic Growth, Financial Development, and Carbon Dioxide Emission in Five Sub-Saharan African Countries

Qudrat‐Ullah

Nevo

2022

Energies

View full text Add to dashboard Cite

This research investigates the relationships among renewable energy consumption, economic growth, and financial development in five sub-Saharan African nations utilizing panel data from 2000 to 2020. Econometric methods are used to ascertain the existence or absence of cross-sectional dependence and the short-run and long-run connections between the following factors: Pesaran cross-sectional dependence (CD) and cross-sectionally augmented IPS (CIPS) unit root tests, pooled mean group (PMG), and dynamic ordinary least squares (DOLS) estimations. The presence of cross-sectional dependence is found and represented with the CIPS unit root test. No significant short-run relationship is found between the variables of the study, yet a significant long-run relationship is present among them. A positive relationship exists between CO2 emissions and financial development, while financial development and renewable energy consumption are found to have negative relationships with CO2 emissions. The study also supports the scale effect of the environmental Kuznets curve hypothesis. Additionally, no causality is found among the variables, and impulse response and variance decomposition estimation are carried out to recommend future effects. Policy implications of findings are discussed, with accompanying suggestions.

show abstract

Economic development, energy consumption, financial development, and carbon dioxide emissions in Saudi Arabia: new evidence from a nonlinear and asymmetric analysis

Cited by 50 publications

References 104 publications

The impact of economic uncertainty, economic growth and energy consumption on environmental degradation in MENA countries: Fresh insights from multiple thresholds NARDL approach

The impact of economic uncertainty, economic growth and energy consumption on environmental degradation in MENA countries: Fresh insights from multiple thresholds NARDL approach

Determinants of CO2 Emissions in Emerging Markets: An Empirical Evidence from MINT Economies

Analysis of the Dynamic Relationships among Renewable Energy Consumption, Economic Growth, Financial Development, and Carbon Dioxide Emission in Five Sub-Saharan African Countries

Contact Info

Product

Resources

About