Energy Trade Amidst Sustainable Economic Growth in Regional Cooperation of West African States: Fresh Evidence From Panel Cs-Ardl

Self Cite

This paper analyses the effect of electricity distribution loos, carbon emissions, growth, and energy consumption nexus in West Africa utilising pooled series data that spans the decades of 1970 to 2019. The paper employs cross sectional auto regressive distributive lag model (CS-ARDL), and Dumitrescu Hurlin Causality Test. The result of unit root test reveals that the variables have mixed stationary. In addition, the empirical analysis revealed a statistically significant negative relationship between electricity distribution losses on energy consumption while electricity intensity level, electricity power consumption and economic growth prevails positive on energy consumption in the log-run. The result established a unidirectional causal relationship running from energy consumption LEC to electricity distribution losses LEDL while a bidirectional relationship was found between electricity intensity level LEIL causing LEPC electric power consumption and carbon emission LCO2.

Section: Resultsmentioning

confidence: 99%

The Effect of Electricity Distribution Loos, Electricity Power Consumption, Electricity Intensity on Energy Consumption in West Africa

Atiku

Ismail²,

Roslan³

et al. 2022

Self Cite

“…When the results of skewness statistics are non-zero, it can be argued that the variables under study do not follow a symmetric and normal distribution. The kurtosis statistics are also larger than +3, indicating that the data have fatter tails than in a normal distribution (Ahmad et al, 2015a;Ahmad et al, 2015b;Ahmad et al, 2015c;Ahmad et al, 2015d;Ahmad et al, 2015e;Ahmad et al, 2015f;Umar et al, 2015;Hassan et al, 2016;Kamalu et al, 2019;Malam, et al, 2018;Alkhawaldeh et al, 2020;Ibrahim et al, 2020;Jakada, et al, 2020c;Jakada, et al, 2020d;Adam, et al, 2021;Atiku, et al, 2021;Umar, et al, 2021;Jakada, et al, 2020d;Atiku, et al, 2022;Jakada, et al, 2022d). Finally, descriptive statistics show that the data is heterogeneous, pointing to the panel quantile regression technique as the best bet for producing credible empirical results.…”

Section: Descriptive Statistics and Correlation Matrixmentioning

confidence: 99%

Energy Consumption as a Measure of Energy Efficiency and Emissions in the MENA Countries: Evidence from GMM-Based Quantile Regression Approach

Alkhawaldeh

Al-Zeaud

Almarshad

2022

Efficient efficiency of energy resources has been shown to have positive effects on both GDP growth and GHG emissions. While the negative effects of climate change and pollution continue to worsen, there has been a global slowdown in the rate at which energy efficiency is improving. In the Middle East and North Africa (MENA), carbon dioxide (CO2) emissions can be considerably influenced by economic and energy consumption. Therefore, the purpose of this research is to apply the generalized method of moments based on a quantile regression approach (GMMQR) to data for CO2 emissions, energy efficiency, real income, and research and development in MENA from 1990 to 2021 in order to determine the factors that determine CO2 emissions under the environmental Kuznets curve (EKC) framework. Overall, the data showed that energy efficiency had a 3.2% impact on emissions reduction across all quantiles. In order to achieve their goals of lowering emissions and strengthening energy security, MENA states must increase the efficiency with which they use petroleum. Energy efficiency policies may have rebound effects, which might reduce their efficiency, according to this study.

“…Energy is regarded the life-line of an economy, a very essential measure for socio-economic development, and is viewed as among the most major policy financial instruments (Bekhet et al, 2017). Energy is not only vital to the economy but also uncertain in its supply (Gorus and Aydin, 2019;Atiku et al, 2021). This is a critical force that both affects the results of conflicts, drives and restrains economic growth and contaminates, and cleans the environment.…”

Section: Introductionmentioning

confidence: 99%

Causal Link between Financial Globalisation Uncertainty, Economic Growth, Environmental Degradation and Energy Consumption in ASEAN+3 Countries

Ismail,

Roslan,

Endut

et al. 2024

This paper aims to examine the causal linkage of financial globalisation uncertainty, Environmental Degradation, economic growth and energy consumption for ASEAN+3 countries using second-generation approach for the period between 1970–2019. The results of second-generation unit root test revealed that economic growth and financial globalisation uncertainty were stationary at level, while energy consumption and environmental degradation were stationary at first difference. In addition, the Larson cointegration test showed that long-run cointegration exists between the variables. Similarly, we found that economic growth and environmental degradation have significant positive influence on energy consumption. However, financial globalisation uncertainty has insignificant influence on energy consumption. The results of causal relationship indicated a bidirectional causal relationship between financial globalisation uncertainty and energy consumption; environmental degradation and energy consumption; and economic growth and energy consumption.