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Difference analysis of the relationship between household per capita income, per capita expenditure and per capita CO2 emissions in China: 1997a??2014

机译:中国家庭人均收入,人均支出与人均二氧化碳排放量之间关系的差异分析:1997a—2014

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Driven by the buoyancy of economy and continuous improvement of people's living standards, residential sector has gradually become the second largest CO2 emissions source in China. Reducing the fast rising rate of CO2 emissions in this sector is essential for realizing the target of carbon emission mitigation in China. The researches on the driving factors of residential CO2 emissions have attracted scholars' attention recently, yet few studies can interpret the causality relationship between household per capita income-expenditure-CO2 emissions at national and regional levels. Based on econometric techniques and a panel data set, this paper presents an investigation of the causality relationship, which combines household per capita income, per capita expenditure and per capita CO2 emissions (hereafter referred to as PI, PE, and CE, respectively) on a national level and within three regions (namely, eastern, central, and western regions of China) from 1997 to 2014. Urban and rural areas are considered as well. The empirical results manifest a varied causality relationship in different regions. For example, PI and PE correspond to CE in eastern rural area, but this phenomenon does not occur in central rural area. In addition, urban and rural differences are displayed. There is no causality between PI and PE in western urban area, while a bidirectional causal relationship emerges in PI and PE for western rural area. Finally, this study proposes some policy implications to decrease the increase rate of household CO2 emissions in China.
机译:在经济蓬勃发展和人民生活水平不断提高的推动下,住宅领域已逐渐成为中国第二大二氧化碳排放源。减少该部门二氧化碳排放的快速上升对于实现中国减少碳排放的目标至关重要。关于住宅二氧化碳排放驱动因素的研究近来引起了学者的关注,但很少有研究能够解释国家和地区两级家庭人均收入-支出-二氧化碳排放之间的因果关系。本文基于计量经济学技术和面板数据集,对因果关系进行了调查,该因果关系包括家庭人均收入,人均支出和人均CO2排放量(以下分别称为PI,PE和CE)在1997年至2014年期间位于全国三个区域(即中国的东部,中部和西部地区)内。同时也考虑了城市和农村地区。实证结果表明在不同地区存在不同的因果关系。例如,在东部农村地区,PI和PE对应于CE,但是在中部农村地区不会发生这种现象。此外,还显示了城乡差异。西部城市地区的PI与PE之间没有因果关系,而西部农村地区的PI与PE之间却存在双向因果关系。最后,本研究提出了一些政策建议,以降低中国家庭二氧化碳排放的增长率。

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