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China?s Economic Growth, Energy Efficiency, and Industrial Development: Nonlinear Effects on Carbon Dioxide Emissions

机译:中国的经济增长,能源效率和产业发展:非线性对二氧化碳排放的影响

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This paper analyzes the time-varying impacts of China?s economic growth, energy efficiency, and industrial development on carbon dioxide (CO 2 ) emissions from 1970 to 2019. First, we examined and found that there are two significant structural changes in the CO 2 sequence over the years, and there was a significant nonlinear relationship among the four. The first nonlinear structural model constructed is the TVP regression model. According to the Bayesian model comparison criterion, TVP-SV-VAR was selected as the second constructed model from four types of VAR models containing nonlinear structures. The results show that the conduction intensity value of energy use efficiency to CO 2 emissions has increased year by year, from 0.45 in 1971 to 0.97 in 2019. The short-term transmission mechanism of energy use efficiency to carbon emissions is the most significant. The conduction intensity of China?s economic growth on CO 2 emissions increases year by year. China?s economic growth plays a major role in long-term CO 2 emission reduction. The impact of industrial development on CO 2 emissions reached a peak of 0.34 in 1977, and the intensity of the impact has basically stabilized at 0.26.
机译:本文分析了中国的时间不同的影响?经济增长,能源效率和产业发展上的二氧化碳(CO 2)排放量从1970年到2019年。首先,我们检查,发现有在CO 2个显著结构性变化2有序列多年来,并且是四个当中显著非线性关系。构成的第一非线性结构模型是TVP回归模型。根据贝叶斯模型比较标准,TVP-SV-VAR被选为从四种类型的含有非线性结构VAR模型的第二构造的模型。结果表明的能量利用效率的CO 2的排放量的传导强度值已逐年在1971年到2019年在增加,从0.45至0.97的能量使用效率的短期传动机构碳排放是最显著。中国的传导强度?逐年S于CO经济增长2排放量增加的一年。中国?经济增长起着长期的CO 2减排的重大作用。工业发展对CO的影响排放量在1977年达到了0.34的峰,和冲击强度在0.26已经基本稳定。

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