scholarly journals Renewable and Non-Renewable Energy Consumption, Carbon Dioxide Emissions, and Economic Growth: Empirical Evidence from Central Asian Countries

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Bolor-Erdene Turmunkh
2021 ◽  
Vol 899 (1) ◽  
pp. 012029
Author(s):  
A Junissov ◽  
A Bekaliyev ◽  
A Adamov ◽  
S G Poulopoulos

Abstract Currently, economic growth remains the main criterion of development. However, it does come along with threats to the environment, due to its link to the increased energy consumption and carbon dioxide emissions. Decoupling can be used to break this link and stop jeopardizing the environment in the favor of economic progress. This paper focuses on the decoupling between economic growth and energy consumption in each of five Central Asian countries – Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan – from 1990 to 2014. The Tapio decoupling model was implemented in order to determine the decoupling states for each country. Gross domestic product (GDP) was used to represent the economic growth, and the total primary energy supply (TPES) described the environmental pressure. These data were obtained from the IKE World Energy Balances. Both the GDP and the TPES of most of the Central Asian countries had a parabolic trend of initial drop and further increase during the timespan analyzed. This observation can be explained by the collapse of USSR and the transition to market economy. The results of the decoupling analysis can be divided into two stages for Kazakhstan, Turkmenistan, and Uzbekistan, and into three stages for Kyrgyzstan and Tajikistan, with several different decoupling states observed during each stage. According to the results, the main decoupling states in Central Asia were expansive negative decoupling, expansive coupling, weak decoupling, and strong decoupling. The analysis showed that there is a serious environmental pressure on the economic development in Central Asia.


Author(s):  
Ebru Çağlayan Akay ◽  
Raziya Abdiyeva ◽  
Zamira Oskonbaeva

Renewable energy plays a crucial role in increasing economic growth while reducing carbon dioxide emissions. The aim of this study is to examine the interaction between renewable energy consumption, economic growth and carbon dioxide emissions for selected Middle East and North Africa countries. For this aim, panel vector autoregression approach are used in the study. The annual data used in this study cover the period from 1988 to 2010 for Middle East and North Africa countries. Firstly, second generation unit root test are used to investigate stationarity properties of the variables and second generation panel cointegration test is applied to the data under consideration because of the cross-sectional dependence. Then a panel causality approach is proposed to examine the causal relationship between the variables. Finally, panel vector autoregression model, impulse-response and variance decomposition analysis are applied using generalized moment methods. The finding of this study shows that there is a bi-directional causality between growth and renewable energy consumption, which is consistent with the feedback hypothesis in terms of the energy consumption-growth nexus. It is found the evidence of unidirectional causality from carbon dioxide emissions to renewable energy consumption and from growth to carbon dioxide emissions. It is also found that the responses of growth to a shock of energy consumption are positive and the impact of renewable energy consumption on carbon dioxide emissions is negative.


2017 ◽  
Vol 23 (2) ◽  
pp. 540-564 ◽  
Author(s):  
Ryan P Thombs

This cross-national study employs a time-series cross-sectional Prais-Winsten regression model with panel-corrected standard errors to examine the relationship between renewable energy consumption and economic growth, and its impact on total carbon dioxide emissions and carbon dioxide emissions per unit of GDP. Findings indicate that renewable energy consumption has its largest negative effect on total carbon emissions and carbon emissions per unit of GDP in low-income countries. Contrary to conventional wisdom, renewable energy has little influence on total carbon dioxide emissions or carbon dioxide emissions per unit of GDP at high levels of GDP per capita. The findings of this study indicate the presence of a “renewable energy paradox,” where economic growth becomes increasingly coupled with carbon emissions at high levels of renewable energy, and the negative effect of economic growth on carbon emissions per unit of GDP lessens as renewable energy increases. These findings suggest that public policy should be directed at deploying renewable energy in developing countries, while focusing on non-or-de-growth strategies accompanied with renewable energy in developed nations.


2021 ◽  
Vol 16 (4) ◽  
pp. 87-93
Author(s):  
Imtiyaz Ahmad Shah ◽  
Imtiyaz ul Haq

The paper examines the relationship between carbon dioxide emission, economic growth, and energy consumption among five Central Asian countries during 2000-2017. To verify the said relationship, we have used both static (pooled OLS and Fixed effect) and dynamic Generalized Method of Moments.  The results indicate that GDP has a significantly negative impact, while a square of GDP has a significantly positive impact on carbon dioxide emission. Therefore, our findings support the U-shaped Environmental Kuznets Curve. Also, energy consumption is having a significantly positive impact on carbon dioxide emissions. The results emphasize non-renewable sources of energy, low carbon emission technologies, and sustainable growth.


Sign in / Sign up

Export Citation Format

Share Document