Does increasing investment in research and development promote economic growth decoupling from carbon emission growth? An empirical analysis of BRICS countries

2020 ◽  
Vol 252 ◽  
pp. 119853 ◽  
Author(s):  
Qiang Wang ◽  
Fuyu Zhang
2014 ◽  
Vol 675-677 ◽  
pp. 1789-1792 ◽  
Author(s):  
Feng Lian Sun ◽  
Wei Du

Based on VAR model, the effects of economic growth, industrial structure and energy efficiency on Jilin province’s carbon emission have been analyzed. It is found out that economic growth and energy efficiency change in the opposite direction of carbon emission, while industrial structure changes in the same direction of it, which are main reasons for carbon emission growth. According to this, government should apply its “green function” so as to adjust industrial structure, improve energy transformation and energy efficiency.


2021 ◽  
Vol 13 (20) ◽  
pp. 11138
Author(s):  
Huan Zhang

This study selects the panel data of five BRICS nations (Brazil, Russia, India, China, South Africa) from 1990 to 2019 to empirically explore the impact of technological innovation and economic growth on carbon emissions under the context of carbon neutrality. Granger causality test results signify that there exists a one-way causality from technology patent to carbon emission and from economic growth to carbon emission. We also constructed an improved Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model. The regression results manifest that technology patents contribute to the realization of carbon emission reduction and carbon neutralization, while the economic growth of emerging economies represented by BRICS countries significantly improves carbon emissions, but every single BRICS country shows differentiated carbon emissions conditions with their economic development stages. The impact of the interaction term on carbon emissions for the five BRICS countries also presents country-specific heterogeneity. Moreover, the Environmental Kuznets Curve (EKC) test results show that only Russia and South Africa have an inverted U-shaped curve relationship between economic growth and carbon emissions, whereas Brazil, India and China have a U-shaped curve relationship. There exists no EKC relationship when considering BRICS nations as a whole. Further robustness tests also verify that the conclusions obtained in this paper are consistent and stable. Finally, the paper puts forward relevant policy suggestions based on the research findings.


2021 ◽  
Vol 9 ◽  
Author(s):  
Lijin Xiang ◽  
Xiao Chen ◽  
Shuling Su ◽  
Zhichao Yin

Carbon emission leads to environmental and social consequences, which could be severe in the emerging economies. Owing to the dilemma of emission and economic expansion, it is necessary to achieve a more comprehensive understanding of the dynamic relationship between economic growth and carbon emission. Multivariate Wavelet analysis is introduced in addition to the decoupling analysis for BRICS countries. The decoupling analysis detects an obvious trend of economic growth decoupling from carbon emission in China, and generates mixed results for the other countries. Estimates of wavelet coherency suggest that BRICS countries have experienced different kinds of structural changes in growth–emission nexus. Results of partial phase-difference and wavelet gain imply that different resource endowments and growth paths lead to varied impact of economic growth on carbon emission and time-varying characteristics of the causality relationship over different frequencies. Energy structure and trade openness matter for anatomizing this time-varying relationship. To succeed in the fight against climate change, the policy makers need to pay serious attention to the dynamic impact of economic growth, energy structure, and trade openness on carbon emission.


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