首页> 外文会议>IAEE International Conference;International Association for Energy Economics >CORRELATION BETWEEN CO2 EMISSIONS AND GASOLINE TO DIESEL RATIO: EVIDENCE FROM CHINA PROVINCES
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CORRELATION BETWEEN CO2 EMISSIONS AND GASOLINE TO DIESEL RATIO: EVIDENCE FROM CHINA PROVINCES

机译:二氧化碳排放量与汽油与柴油比的相关性:来自中国的证据

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This paper utilizes 1997-2016 provincial panel data in China to verify Environmental Kuznets Curve (EKC) for Carbon Dioxide (CO2) emissions, and to explore the underlying reason of EKC hypothesis. The correlation between CO2 emissions and Gasoline to Diesel Ratio (GDR) is also been investigated. The regression result shows per capita CO2 emissions forms an inverted U-shape curve with respect to per capita Gross Domestic Product (GDP). But because the current data of per capita CO2 emissions have not shown a decreasing yet, so the hypothesis of EKC for CO2 emissions is just partially proven. Other result shows CO2 emissions has a high correlation with GDR. By panel Fully Modified Ordinary Least Squares (FMOLS) and panel Dynamic OLS (DOLS) regression, 1% GDR increase couples with 0.118186% or 0.114056% CO2 emissions decrease, respectively. This paper also demonstrate that whether the EKC holds is independent from provincial GDP per capita. So it is not the GDP, but the provincial economic structure, energy structure and their interaction, determined the provincial differences of correlation between per capita GDP and CO2 emissions.
机译:本文利用1997-2016年中国省级面板数据验证了二氧化碳(CO2)排放的环境库兹涅茨曲线(EKC),并探讨了EKC假设的根本原因。还研究了CO2排放与汽油/柴油比(GDR)之间的相关性。回归结果显示,人均二氧化碳排放量相对于人均国内生产总值(GDP)呈倒U形曲线。但是,由于当前的人均CO2排放数据尚未显示出减少的趋势,因此EKC的CO2排放假说只是得到了部分证明。其他结果表明,CO2排放与GDR具有高度相关性。通过面板完全修改的普通最小二乘(FMOLS)和面板动态OLS(DOLS)回归,分别增加了1%的GDR和0.118186%或0.114056%的CO2排放量。本文还证明了EKC是否持有独立于省人均GDP。因此,不是GDP,而是省的经济结构,能源结构及其相互作用,决定了人均GDP与CO2排放之间相关性的省差异。

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