scholarly journals Does Globalization Moderate the Effect of Economic Complexity on CO2 Emissions? Evidence From the Top 10 Energy Transition Economies

2021 ◽  
Vol 9 ◽  
Author(s):  
Kai He ◽  
Muhammad Ramzan ◽  
Abraham Ayobamiji Awosusi ◽  
Zahoor Ahmed ◽  
Mahmood Ahmad ◽  
...  
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Transition Economies ◽  
Carbon Emissions ◽  
Environmental Sustainability ◽  
Energy Transition ◽  
Cross Sectional ◽  
Economic Complexity ◽  
Long Run ◽  
The Government

The association between economic complexity (sophisticated economic structure) and carbon emissions has major implications for environmental sustainability. In addition, globalization can be an important tool for attaining environmental sustainability and it may also moderate the association between economic complexity and carbon emissions. Thus, this research examines the effects of economic complexity, economic growth, renewable energy, and globalization on CO2 emissions in the top 10 energy transition economies where renewable energy and globalization have greatly increased over the last 3 decades. Furthermore, this study also evaluates the joint effect of globalization and economic complexity on carbon emissions. Keeping in view the presence of slope heterogeneity and cross-sectional dependence in the data, this research utilized second-generation unit root tests (CIPS and CADF), Westerlund cointegration approach, and CS-ARDL and CCEMG long-run estimators over the period of 1990–2018. The results affirmed the presence of cointegration among the considered variable. Long-run findings revealed that globalization, renewable energy, and economic complexity decrease carbon emissions. Conversely, economic growth increases carbon emissions. Moreover, the joint impact of economic complexity and globalization stimulates environmental sustainability. Based on these findings, the government of these groups of economies should continue to expand the usage of renewable energy. They should also promote interaction with the rest of the world by adopting the policy of opening up.

scholarly journals Solar Energy and CO2 Emissions: CCEMG Estimations for 26 Countries

2021 ◽  
Author(s):  
Taner Güney ◽  
Duygu Ince
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Solar Energy ◽  
Carbon Emissions ◽  
Environmental Sustainability ◽  
Causality Test ◽  
Cross Sectional ◽  
Common Correlated Effects ◽  
The Impact

Abstract Although research establishes that the impact of renewable energy on environmental sustainability is critical in the era of globalization, the individual impact of renewable energy on the environment is often ignored. Therefore, this article examines the long-term relationships and direction of these relationships between solar energy consumption, coal energy consumption, financial globalization, economic growth, and environmental pollution for the period from 2000 to 2019 for 26 countries. The study used a range of econometric techniques that account for the cross-sectional dependence and slope homogeneity observed in the panel. The results of the common correlated effects mean group (CCEMG) estimator showed that solar energy consumption has a negative and significant effect on the level of carbon emissions. In addition, economic growth and coal energy increase carbon emissions. Finally, the results of the panel causality test confirmed the existence of various causal relationships among the variables.

Does Technological Innovation Advance Environmental Sustainability in ASEAN Countries?

2021 ◽  
Vol 9 (3) ◽  
Author(s):  
Tabish Nawab ◽  
Muhammad Azhar Bhatti ◽  
Muhammad Atif Nawaz
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Environmental Sustainability ◽  
Energy Demand ◽  
Carbon Emission ◽  
Technology Innovation ◽  
Renewable Energy Consumption ◽  
Panel Ardl ◽  
Long Run ◽  
Environment Degradation

Environment degradation is a very important issue in developing nations and a lot of research had done to examine the factors of environmental degradation but these studies were missed some important factors which are covered by this study. By examining the effect of economic growth and energy in the presence of renewable energy consumption and technology innovation on environment degradation for ASEAN nations. Panel ARDL (which is PMG and MG) is used to estimate the model, and the advantage of this model is it gives both the long and short-run estimates of the model which helps to understand the situation in both short as well as long run. The results confirm that economic growth, Population, trade, and renewable energy increase the carbon emission level in ASEAN nations. While technology innovation decreased carbon emission levels which means technology innovation helps to keep the environment healthy and clean. Hence, economic growth helps the nations to improve their energy mode from non-renewable to renewable energy, which meets the energy demand by keeping the environment clean.

scholarly journals Incorporating Environmental Pollution and Human Development in the Energy-Growth Nexus: A Novel Long Run Investigation for Pakistan

2020 ◽  
Vol 17 (14) ◽  
pp. 5154 ◽  
Author(s):  
Nabila Abid ◽  
Jianzu Wu ◽  
Fayyaz Ahmad ◽  
Muhammad Umar Draz ◽  
Abbas Ali Chandio ◽  
...  
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Human Development ◽  
Environmental Sustainability ◽  
Human Development Index ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Renewable Energy Consumption ◽  
Long Run

Energy acts as a catalyst to boost the human development index (HDI) in a country. However, the overuse of energy leads to environmental deterioration, which is a byproduct of economic development. Due to the utilization of non-renewable energy sources for a long time, worldwide environmental conditions have become alarming. This study investigates the relationship between renewable and non-renewable energy consumption, economic growth, environmental sustainability, and the human development index (HDI) in Pakistan. The investigation incorporates population growth and technology variables to form a multivariate framework. We use a fully modified ordinary least squares (FMOLS) approach to time-series data from 1990–2017. To check the robustness of estimations, we apply the Gregory–Hansen test with a causality test under the VECM to confirm this association’s directions. Our findings confirm that non-renewable energy sources have a positive association with economic growth and CO2 emissions. However, human development, technology, and renewable energy boost economic development and reduce environmental pollution in Pakistan. The co-integration results confirmed the long run connectivity among all variables. The causality outcomes support the bidirectional causality between renewable and non-renewable energy consumption, economic growth, and CO2 emissions, both in the short and long run. These outcomes suggest that Pakistan should focus on energy shifts and gradually increase the share of renewables in its energy mix under the China Pakistan Economic Corridor (CPEC). Additionally, the government should increase human and technological development to enhance economic and environmental sustainability.

scholarly journals Dynamic linkages between renewable energy, carbon emissions and economic growth through nonlinear ARDL approach: Evidence from Iran

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0253464
Author(s):  
M. S. Karimi ◽  
S. Ahmad ◽  
H. Karamelikli ◽  
D. T. Dinç ◽  
Y. A. Khan ◽  
...  
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Gdp Per Capita ◽  
Bounds Testing ◽  
Renewable Energy Consumption ◽  
Economic Implications ◽  
Long Run ◽  
Per Capita

This study examines the relationship between economic growth, renewable energy consumption, and carbon emissions in Iran between 1975–2017, and the bounds testing approach to cointegration and the asymmetric method was used in this study. The results reveal that in the long run increase in renewable energy consumption and CO2 emissions causes an increase in real GDP per capita. Meanwhile, the decrease in renewable energy has the same effect, but GDP per capita reacts more strongly to the rise in renewable energy than the decline. Besides, in the long run, a reduction of CO2 emissions has an insignificant impact on GDP per capita. Furthermore, the results from asymmetric tests suggest that reducing CO2 emissions and renewable energy consumption do not have an essential role in decreasing growth in the short run. In contrast, an increase in renewable energy consumption and CO2 emissions do contribute to boosting the growth. These results may be attributable to the less renewable energy in the energy portfolio of Iran. Additionally, the coefficients on capital and labor are statistically significant, and we discuss the economic implications of the results and propose specific policy recommendations.

scholarly journals Causal Relationship Among Carbon Dioxide (CO2) Emissions, Renewable Energy, Population and Economic Growth in Bangladesh: An Empirical Study

2020 ◽  
Vol 11 (6) ◽  
pp. 196
Author(s):  
Shanjida Chowdhury ◽  
K. B. M. Rajibul Hasan ◽  
Mahfujur Rahman ◽  
K. M. Anwarul Islam ◽  
Nurul Mohammad Zayed
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Economic Development ◽  
Renewable Energy ◽  
Carbon Dioxide Emissions ◽  
Long Run ◽  
Short Run ◽  
The Government ◽  
Carbon Dioxide Co2 ◽  
Bound Test

Developing countries face environmental degradation crisis due to the consumption of nonrenewable energy for economic development induces ecological destruction. However, the consequences of environmental deterioration can no longer be overlooked. Using data from 1990 from 2018, this study scrutinized the long-run equilibrium along with the trend among consumption of renewable energy, carbon dioxide emissions, Population, and economic growth in Bangladesh. This study reveals the significant cointegration of renewable energy with controlled variables using the ARDL bound test. Also, ECM with ARDL unrestricted version enables us to decide the speed of adjustment is 27.647% addressed for short-run elasticity in the long run. Stability and further diagnostic tests are performed for model post estimation and validation. Also, it needs further steps from the government side to promote renewable energy that boosts economic development.

scholarly journals Heterogeneous Analysis of Pollution Abatement via Renewable and Non-Renewable Energy: Lessons from Investment in G20 Nations

2021 ◽  
Author(s):  
Kazeem Bello Ajide ◽  
Ekundayo Peter Mesagan
Keyword(s):  
Renewable Energy ◽  
Carbon Emissions ◽  
Capital Investment ◽  
Pollution Abatement ◽  
Jel Classification ◽  
Cross Sectional ◽  
Pooled Mean Group ◽  
Long Run ◽  
Short Run ◽  
Cross Sectional Dependence

Abstract This study analyses the role of renewable and non-renewable energy in pollution reduction through the capital investment channel in G20 economies between 1990 and 2017. We consider cross-sectional dependence since the countries are heterogeneous and cross-sectionally dependent using the pooled mean group approach. Findings reveal that renewable energy negatively impacts carbon emissions in both the short- and long-run, while non-renewable energy positively affects carbon emissions in both the short- and long-run. Again, results show that capital investment lowers pollution in the short-run but increases it in the long-run. Lastly, we find that capital investment interacts with renewable energy to reduce pollution in both short- and long-run, while its interaction with non-renewable energy expands pollution in both short- and long-run. We, therefore, conclude that capital investment provides an important channel to reduce pollution in G20 nations and recommend that if energy consumption is to work through the capital investment channel to lower pollution in the G20, the proportion of renewable energy must increase relative to non-renewable energy in their energy mix.JEL Classification: Q41; Q42; Q53; F23; O50.

ENERGY SECURITY, RENEWABLE, NON-RENEWABLE ENERGY AND ECONOMIC GROWTH IN ASEAN ECONOMIES: NEW INSIGHTS

2020 ◽  
pp. 1-32
Author(s):  
RABINDRA NEPAL ◽  
HAMMED OLUWASEYI MUSIBAU
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Security ◽  
Structural Breaks ◽  
Correlation Effect ◽  
Cross Sectional ◽  
Effect Analysis ◽  
Long Run ◽  
Cross Sectional Dependence ◽  
Asean Countries

This study examines the linkages between energy security (ES), renewable and non-renewable energy on economic growth for ASEAN countries within a neo-classical growth framework. The econometric techniques account for cross-sectional dependence and structural breaks by undertaking a dynamic common correlation effect analysis unlike previous studies. The study finds a long-run relationship between ES, renewable, non-renewable energy and economic growth for ASEAN economies between 1980 and 2018. Our results also confirm a feedback relationship between renewable energy and economic growth in the ASEAN. Thus, the ASEAN governments must prioritize renewable energy funding and investments. The results are robust to different estimations and methods.

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