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Linking Economic Growth Urbanization and Environmental Degradation in China: What Is the Role of Hydroelectricity Consumption?

机译:与中国的经济增长城市化和环境退化联系起来:水电消费的作用是什么?

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摘要

Achieving environmental sustainability has become a global initiative whilst addressing climate change and its effects. Thus, this research re-assessed the EKC hypothesis in China and considered the effect of hydroelectricity use and urbanization, utilizing data from 1985 to 2019. The autoregressive distributed lag (ARDL) bounds testing method was utilized to assess long-run cointegration, which is reinforced by a structural break. The outcome of the ARDL bounds test confirmed cointegration among the series. Furthermore, the ARDL revealed that both economic growth and urbanization trigger environmental degradation while hydroelectricity improves the quality of the environment. The outcome of the ARDL also validated the EKC hypothesis for China. In addition, the study employed the novel gradual shift causality test to capture causal linkage among the series. The advantage of the gradual shift causality test is that it can capture gradual or smooth shifts and does not necessitate previous information of the number, form of structural break(s), or dates. The outcomes of the causality test revealed causal connections among the series of interest.
机译:在解决气候变化及其影响时,实现环境可持续性已成为全球倡议。因此,本研究重新评估了中国的EKC假设,并考虑了水电利用和城市化的影响,利用1985年至2019年的数据。自动分布式滞后(ARDL)界限测试方法用于评估长期协整,这是通过结构休息加强。 ARDL界限测试的结果证实了该系列之间的协整。此外,ARDL透露,经济增长和城市化触发环境退化,而水电改善了环境的质量。 ARDL的结果还验证了中国的EKC假设。此外,该研究采用了新型逐步转移因果关系试验,以捕获该系列之间的因果关系。逐渐移位因果关系测试的优点是它可以捕获逐渐或平滑的偏移,并且不需要以前的数量信息,结构中断的形式或日期。因果关系试验结果显示了该系列兴趣之间的因果关系。

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