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云师大泛亚商学院Zhichao Yu 在《RENEW SUST ENERG REV》上发表最新研究成果

已有 1320 次阅读 2023-9-22 19:55 |个人分类:云师大研究|系统分类:论文交流

2023年9月16日,《可再生与可持续能源评论》(Renewable and Sustainable Energy Reviews在线发表了云南师范大学泛亚商学院Zhichao Yu博士发表最新研究成果《Sustainable synergy via clean energy technologies and efficiency dynamics》。云南师范大学泛亚商学院Zhichao Yu为第一作者兼通讯作者单位。

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Abstract

The sustainability paradigm has gained global attention, and the same has been expected from the economies having increasing levels of environmental footprints over the past couple of decades. This research aims to investigate the nexus between clean energy technologies and climate change mitigation among the top ecologically pollutant (TEP) economies during 1996–2020. The research incorporated other drivers of climate change, including energy efficiency, industrialization, and sustainable policies through environmental regulations. The methodological context covers the necessary preliminary tests and the Method of Moment Quantile Regression (MMQR). The preliminary results indicate that TEP economies are interdependent with the heterogenous slope coefficients, stationarity data trends, and cointegrated relationships. The findings from the MMQR unveiled that clean energy technologies tend to mitigate climate change from 0.10th to 0.70th quantiles. Relatedly, energy efficiency reduces the environmental burden across all the quantiles except for the 0.10th one. Conversely, industrialization and economic growth cause an upward shift in climate change among TEP economies across all the quantiles, suggesting a need to shift production-based economies to more service-intensive ones. However, the study found no significant evidence for the nexus between sustainable environmental policies and climate change. The robustness checks also validate the MMQR estimations; however, their parameters' magnitude substantially varied. These outcomes encourage policymakers to implement holistic strategies supporting energy innovation, technologies, and efficiency improvements while controlling the adverse effects of industrialization and traditional growth models.

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https://doi.org/10.1016/j.rser.2023.113744



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