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中国润滑油生态足迹测算及影响因素研究

ECOLOGICAL FOOTPRINT ESTIMATION AND INFLUENCING FACTORS OF LUBRICATING OIL IN CHINA
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摘要 润滑油生态足迹指用于吸收润滑油燃烧所排放CO_(2)的森林和草地的面积。重新修订化石能源地定义,基于碳循环的视角测算了中国润滑油生态足迹并采用偏最小二乘回归模型研究影响润滑油生态足迹的主要驱动因子。结果显示:2014-2019年中国润滑油生态足迹逐年递增;影响润滑油生态足迹的主要驱动因子是民用汽车保有量和第二产业国内生产总值(GDP),两者分别每增加1%,对应的润滑油生态足迹分别增长15.11%和15.08%;其次是原油加工量、城镇居民家庭人均可支配收入、城镇居民家庭人均消费支出和人均交通通信消费支出,四者分别每增长1%,润滑油生态足迹均增长14%左右;影响最小的是燃油价格,其每增长1%,润滑油生态足迹增加11.82%。 The ecological footprint of lubricating oil refers to the area of forest and grassland used to absorb CO_(2) emitted by the combustion of lubricating oil.Based on the carbon cycle,the ecological footprint of Chinese lubricating oil was calculated and the partial least-squares regression model was used to study the main driving factors affecting the ecological footprint of lubricating oil.The results showed that the ecological footprint of Chinese lubricating oil increased year by year from 2014 to 2019.The main driving factors affecting lubricating oil ecological footprint were civilian vehicle holdings and the secondary sector of the gross domestic product(GDP),and the ecological footprint of Chinese lubricating oil increased by 15.11%and 15.08%for each 1%increase in the number of civil cars and the GDP respectively.This was followed by crude oil processing,per capita disposable income of urban households,per capita consumption of urban households and per capita consumption of transportation and communication,all of which increased by 1%,the ecological footprint of lubricating oil increased by 14%.The least impact was the fuel price,which increased 1%,the ecological footprint of lubricating oil increased by 11.82%.
作者 于楠 孙仁金 蓝兴英 刘德峰 Yu Nan;Sun Renjin;Lan Xingying;Liu Deleng(School of Economic and Management,China Umiversity of Petroleum,Beijing 102249;MIS Project Company of CNPC International(Iran))
出处 《石油炼制与化工》 CAS CSCD 北大核心 2023年第2期82-89,共8页 Petroleum Processing and Petrochemicals
基金 国家自然科学基金创新群体项目(22021004)。
关键词 润滑油生态足迹 碳循环 化石能源地 偏最小二乘回归 lubricating oil ecological footprint carbon cycle fossil energy land partial least-squares regression
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