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

By Yulong Chen, Zheng Wang, Zhangqi Zhong. Renewable Energy, 2019

719 citations recorded by the source corpus.

Abstract Based on the autoregressive distributed lag (ARDL) bounds testing approach and vector error correction model (VECM) Granger causality approach, this paper explores the relationships among per capita carbon dioxide (CO2) emissions, gross domestic product (GDP), renewable, non-renewable energy production and foreign trade for China covering the period 1980–2014. One finding is that there is a long-run relationship among those variables. Another important finding is that China does not have the Environmental Kuznets Curve (EKC) of CO2 emissions under the influence of economic growth, non-renewable energy production and foreign trade. However, after the addition of renewable energy production variable, it is found that the inverted U-shaped EKC hypothesis is supported in the long-run. Our long-run estimates show that increasing non-renewable energy and GDP increases CO2 emission, whereas renewable energy and foreign trade have a negatively impact on CO2 emissions. The short-run Granger causality tests show that there are bidirectional causalities running from foreign trade, CO2 emission and non-renewable energy to renewable energy. Furthermore, the finding indicates that renewable energy consumption is a key solution in reducing CO2 emissions over time. Finally on the basis of this study, we put forward the corresponding countermeasures and suggestions on China's carbon emission reduction strategy.

Subfields: Economics and Econometrics, Environmental Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/0b7df26d7ed46d410bc2c716debd6a65b7098129

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Citations in the corpus

Does renewable energy consumption reduce ecological footprint? Evidence from eight developing countries of Asia (2020, background): “However, in comparison to nonrenewable energy, the impact of renewable energy on climate change is less harmful and more cost-effective (Sinha et al., 2018; Chen et al., 2019).”
Revisiting the role of tourism and globalization in environmental degradation in China: Fresh insights from the quantile ARDL approach (2020, result): “This finding falls in similar lines with the finding of Chen et al. (2019).”
Tourism, economic growth, energy consumption, and CO2 emissions in China (2020, background): “This result is similar to the empirical findings of Chen et al. (2019) and Zhang and Gao (2016) who also found that China’s CO2 emissions, energy consumption, and GDP are 8 Tourism Economics XX(X) 1068 Tourism Economics 27(5) nonstationary at level, whereas all of them are stationary at the first…”
The renewable energy consumption-environmental degradation nexus in Top-10 polluted countries: Fresh insights from quantile-on-quantile regression approach (2020, result): “This segment of the results is in consonance with the findings of Chen et al. (2019).”
Determinants of the global and regional CO2 emissions: What causes what and where? (2019, result): “Similarly, results obtained by Chen, Wang, and Zhong (2019) reveal that China’s renewable energy consumption has a negative impact on CO2 emissions in the long-run.”