中国部分省域城镇居民隐含碳排放数据集

The Dataset of Indirect Carbon Emissions of Urban Residents in Provinces of China

中国部分省域城镇居民隐含碳排放数据集是基于中国30个省区(除西藏、港澳台外)投入产出表和各省统计年鉴相关数据计算得到。运用投入产出方法核算居民消费隐含碳排放,构建隐含碳排放恒等式,运用LMDI-I(Logarithmic Mean Divisia Index)方法,对隐含碳排放变化量进行分解,得出影响隐含碳排放的消费水平效应、人口规模效应、隐含碳排放效应、居民生活方式效应,并对其进行时空演变。研究结果显示:除吉林省外,其余各省的隐含碳排放呈增加趋势;消费水平提高是隐含碳排放量增加的主要因素,人口规模对多数省份的隐含碳排放变化具有正效应,个别省份为负效应;导致多数省份隐含碳排放量下降的决定因素是隐含碳排放强度效应,居民生活方式的变化对隐含碳排放变动的贡献不大。该数据集包括:(1)中国部分(30个省区)省域城镇居民隐含碳排放量;(2)消费水平效应、人口规模效应、隐含碳排放效应、居民生活方式效应的量和投入产出表中的行业与统计年鉴上的能源消耗行业的对应关系附表。该数据集存储为.xls格式,1个数据文件,数据量为52.5 KB。

Based on the input-output tables of provinces of China(no data available from Tibet,Taiwan,Hong Kong and Macao),the dataset of indirect carbon emissions(ICEs)of urban residents in provinces of China is developed.Using the input-output method to calculate ICEs,this study constructs the ICE equality and uses the LMDI-I(Logarithmic Mean Divisia Index)method to decompose the drivers of ICEs change into four categories:consumption level effects,population scale effects,ICE intensity effects,and residents’lifestyle effects.Then,the temporal and spatial characteristics of ICEs are analyzed.The dataset includes the followings:(1)ICEs of urban residents in provinces of China;and(2)consumption level effects,population scale effects,ICE intensity effects,the residents’lifestyle effects,and the corresponding relation between the industrial sector in the input-output table and the energy consuming industrial sector in the statistical yearbook.There is only one file in Excel format and 52.5 KB in size.The dataset shows the followings:(1)All provinces but Jilin show growing ICEs;(2)the effect of consumption level is one of the most important influencing factors for increasing ICEs;(3)the size of the population has a mixed effect on ICEs;(4)the most important factor that caused the reduction of ICEs in most provinces is the ICE intensity effects;and(5)the changes of the residents’lifestyle contribute little to ICEs.