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Regional differences and influencing factors in the CO_2 emissions of China's power industry based on the panel data models considering power-consuming efficiency factor

机译:基于考虑电力消耗效率因素的面板数据模型的中国电力行业CO_2排放量区域差异及其影响因素

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摘要

With the economic development, China has become the largest CO2 emissions country. China's power industry CO2 emissions accounted for about 50% of total CO2 emissions. Therefore, exploring major drivers of CO2 emissions is critical to mitigating its CO2 emissions in power industry. Many studies considered the time series model to analyze the national influences factors of CO2 emissions. But this paper focuses on regional differences in CO2 emissions and adopts panel data models to explore the major impact factors of CO2 emissions in the power industry at the regional and provincial perspectives. The results indicate economic growth level plays a dominant role in reducing CO2 emissions. The power-consuming efficiency on the demand side has large potential to mitigate CO2 emissions, but its influences are different in three regions. The impacts of the electric power structure on CO2 emissions decline from the eastern region to the central and western regions. The influence of urbanization and industrialization also has significant regional differences. Therefore, the governments should consider the influencing factors and regional differences and formulate appropriate policies to decrease CO2 emissions in the power industry.
机译:随着经济的发展,中国已成为最大的二氧化碳排放国。中国电力行业的二氧化碳排放量约占二氧化碳排放总量的50%。因此,探索二氧化碳排放的主要驱动力对于减轻电力行业的二氧化碳排放至关重要。许多研究考虑了时间序列模型来分析国家二氧化碳排放影响因素。但是,本文着眼于二氧化碳排放量的区域差异,并采用面板数据模型,从区域和省的角度探讨了电力行业二氧化碳排放量的主要影响因素。结果表明,经济增长水平在减少二氧化碳排放中起着主导作用。需求方的耗电效率具有缓解CO2排放的巨大潜力,但其影响在三个地区有所不同。电力结构对二氧化碳排放的影响从东部地区向中西部地区下降。城市化和工业化的影响也具有重大的地区差异。因此,政府应考虑影响因素和地区差异,并制定适当的政策来减少电力行业的二氧化碳排放。

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