CO2 emissions, economic growth, renewable and non-renewable energy production and foreign trade in China

Chen, Yulong; Wang, Zheng; Zhong, Zhong

doi:10.1016/j.renene.2018.07.047

Cited by 620 publications

(288 citation statements)

References 18 publications

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“…In other areas combining the quantiles of both the variables, we observe negative effect of carbon emissions, which becomes strong in the area adjoining higher quantiles of carbon emissions and lower to higher quantiles of renewable energy consumption. This segment of the results is in consonance with the findings of Chen et al (2019). In USA, there exists a strong negative effect of increase in renewable energy consumption on carbon emissions in the area <Insert Table 5 here> <Insert Table 6 here> combing the lower to middle quantiles (0.1-0.5) of both the variables.…”

Section: Empirical Results and Their Discussionsupporting

confidence: 85%

The renewable energy consumption-environmental degradation nexus in Top-10 polluted countries: Fresh insights from quantile-on-quantile regression approach

Sharif

Mishra

Sinha³

et al. 2020

Renewable Energy

259

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This empirical examination explored the link between renewable energy utilization and environmental degradation in top-10 polluted countries by using monthly data from 1990-2017. The Quantile-on-Quantile regression (QQ) proposed by Sim and Zhou (2015) and Granger causality in quantiles developed by Troster (2018) are applied. In particular, we examine in what manners, quantiles of renewable energy consumption affect the quantiles of environmental degradation. Our empirical findings unfold overall dependence between renewable energy consumption and ecological deterioration. The findings recommend the presence of a significant negative association between renewable energy consumption and environmental degradation in China, USA, Japan, Canada, Brazil, South Korea and Germany, predominantly in high and low tails but results are totally contrasting in the case of India, Russia and Indonesia. Furthermore, the outcomes of Granger-causality in quantiles conclude a bidirectional causal link between renewable energy consumption and environmental degradation. The empirical findings suggest that governments should need to subsidize green energy in declining ecological degradation.

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Section: Empirical Results and Their Discussionsupporting

confidence: 85%

The renewable energy consumption-environmental degradation nexus in Top-10 polluted countries: Fresh insights from quantile-on-quantile regression approach

Sharif

Mishra

Sinha³

et al. 2020

Renewable Energy

259

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“…Long and short run estimations results for main panel Note: a, b, c refer to level of significance at 1%, 5% and 10%. The results obtained in table 10, 11 and 12 were as a 68 results of estimating equations(15) to (20).…”

mentioning

confidence: 73%

“…The hausman test was used to confirm the hypothesis of long-term homogeneity, hence it was reasoned that PMG estimator was more effective. According to the results from the PMG estimator, estimate of error correction terms of all variables (ECTs) have expected signs indicating statistically significant at the 1% level.Estimations in regards to Equation(15)(16)(17)(18)(19)(20), considering the variables under study are revealed inTable 11. At 1% increase in GDP, LAB, NUC, REW, and FOS, the variables GDP, NUC and FOS have a positive and significant impact on CO2, however the variables REW has negative and significant impact on CO2.…”

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confidence: 99%

CO2 emissions mitigation among energy importers and energy exporters along BRI countries. What role do renewable energy and nuclear energy play

Abban

2020

Preprint

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Background: In achieving the goal of sustainable development (Goal 13), United Nations has related global warming to greenhouse gas emissions in recent years. Emissions of carbon dioxide, are known to be the biggest contributor to global warming. Hence this study disaggregates energy consumption that is Nuclear energy, renewable energy and fossil fuel consumption and investigates their impact on CO2 emissions along the Belt and Road Initiative. Methods: This paper determined the cross-sectional dependency and utilized second generation panel unit root test for precise estimation. Westerlund cointegration test was used to determine the long-run equilibrium relationship among the variables. Lastly the Pooled Mean Group (PMG) estimation approach was applied to investigate the long and short run output elasticities between the variables. Results: The results indicates that; for energy importers, CO2 emissions has a significant positive correlation with Fossil fuel and nuclear energy, while renewable energy has a significant negative correlation with CO2 emissions. For energy exporting countries, a significant positive two-way relationship amidst Fossil fuel and CO2 emissions, and a significant negative one-way causal relationship from nuclear energy and renewable energy unto CO2 emissions. Conclusion: The results clearly show that in all panel grouping renewable energy contribute negatively on CO2 emissions, thus more implant of renewable system is need along the belt and road initiative. These recent methodologies employed and findings revealed that in a pollution reduction tender, causal affiliations are affected in a tender to reduce emissions along with long and short-term estimated effects among employed variables by the energy groupings of Belt and Road countries.

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“…Especially, emerging economies are highly related to the foreign direct investment of the energy industry. Accordingly, Chen et al [23] assess the international trade and renewable energy and their possible relationship to provide policy recommendations.…”

Section: Literature Reviewmentioning

confidence: 99%

Selecting the House-of-Quality-Based Energy Investment Policies for the Sustainable Emerging Economies

Tang

Dınçer

2019

Sustainability

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: The purpose of the study is to evaluate the sustainable energy investments based on house of quality. For that, a hybrid decision-making approach to interval type 2 (IT2) fuzzy sets under the hesitancy is proposed. The novelties of the study are to construct an integrated IT2-based modelling and a set of dimensions and criteria for the sustainable energy investments for the emerging countries. The DEMATEL method is used for weighting the customer expectations of sustainable energy investments. The TOPSIS method is applied for ranking the house-of-quality-based investment policies with the technical requirements for the emerging economies. The results show that the capacity issue of energy industry is the most prominent issue for the technical requirements of energy investments. However, it is concluded that increasing communication with the capacity facilities is the most valuable strategy based on the house of quality evaluation. The results are also discussed for further studies and sustainable policies.

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CO2 emissions, economic growth, renewable and non-renewable energy production and foreign trade in China

Cited by 620 publications

References 18 publications

The renewable energy consumption-environmental degradation nexus in Top-10 polluted countries: Fresh insights from quantile-on-quantile regression approach

The renewable energy consumption-environmental degradation nexus in Top-10 polluted countries: Fresh insights from quantile-on-quantile regression approach

CO2 emissions mitigation among energy importers and energy exporters along BRI countries. What role do renewable energy and nuclear energy play

Selecting the House-of-Quality-Based Energy Investment Policies for the Sustainable Emerging Economies

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