Criteria for assessing carbon emissions peaks at provincial level in China
作者机构：Department of Energy and Environmental Policy ResearchPolicy Research Center for Environment and EconomyMinistry of Ecology and EnvironmentBeijing 100029China Research Center for Environmental&Ecology Strategic Planning and Regional DevelopmentPolicy Research Center for Environment and Economy.Ministry of Ecology and EnvironmentBeijing 100029China Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China College of Environment Science and EngineeringNankai UniversityTianjin 300350China
出 版 物：《Advances in Climate Change Research》 (气候变化研究进展（英文版）)
年 卷 期：2022年第13卷第1期
页 面：131-137页
核心收录：
学科分类：12[管理学] 1204[管理学-公共管理] 083305[工学-城乡生态环境与基础设施规划] 08[工学] 0833[工学-城乡规划学]
基 金：We thank the National Natural Science Foundation of China(Youth Science Fund Project)"Zoning control of ozone pollution based on multi-source data"(4210072435) the Ministry of Ecology and Environment.The People's Republic of China project"Carbon Emission Peak Action"for financial support
主 题：Carbon emission peak(CEP) Influencing factors Determination methods Stage classification Provincial level
摘 要：China has pledged to peak carbon emissions by 2030 and neutralize emissions by *** is an urgent need to develop a comprehensive and reliable methodology to judge whether a region has reached its carbon emissions peak(CEP),as well as to schedule and prioritize mitigation activities for different *** this study,we developed an approach for identifying the CEP status of 30 provincial areas in China,considering both the carbon emissions trends and the main socioeconomic factors that influence these *** to the results of the Mann-Kendall(MK)tests,changes in carbon emissions for the 30 provincial areas can be grouped inlo four clusters:those with significant reductions,marginal reductions,marginal increases,and significant ***,total energy consumption(TEC),the proportion of coal consumption(PCC),the proportion of the urban population(PUP),the proportion of secondary industry(PASP),and per capita GDP(PGDP)were further identified as the main factors influencing carbon emissions,by applying Redundancy analysis(RDA)and Monte Carlo permutation *** balance efficacy with fairness,we assigned scores from 1 to 4 to trends in carbon emissions,and the Group Analysis results of the main influencing factors above except for TEC;for TEC,main basis is the relevant assessment *** finally,according to the actual condition of total scores,provincial areas were assigned to the first,second,third and fourth stage of progress toward CEP,using the method of Natural Breaks(Jenks).Based on the method,differentiated plans should be adopted from the perspective of fair development and emissions reduction efficiency,in accordance with the basic principles of Doing the Best within Capacity and Common but Differentiated *** classification method can also be adopted by other developing countries which have not yet achieved CEP.
维普期刊数据库