Research Article

Index Decomposition Analysis on Factors Affecting Energy-Related Carbon Dioxide Emissions from Residential Consumption in Beijing

Table 2

Annual decomposition effect of urban residential CO2 emissions in Beijing.

Year

1995-19960.9810.9320.9731.0561.0061.0070.951
1996-19970.9780.8921.0051.0811.0050.9850.938
1997-19980.9810.9550.9841.0601.0051.0050.987
1998-19990.9780.9720.9921.0781.0051.0091.032
1999-20001.0020.9601.0051.0891.0031.0851.146
2000-20011.0220.9950.9391.0851.0071.0161.059
2001-20020.9620.8831.0711.0961.0061.0281.031
2002-20030.9711.0050.9711.1121.0061.0231.085
2003-20041.0241.0120.9741.1151.0061.0251.160
2004-20050.9630.9690.9621.1241.0511.0301.092
2005-20060.9710.9200.9891.1531.0091.0411.069
2006-20070.9821.0160.9391.1271.0021.0471.107
2007-20080.9840.9560.9551.1711.0051.0571.118
2008-20090.9640.8931.0051.1161.0011.0501.016
2009-20100.9960.8871.0251.0711.0111.0551.034
2010-20110.9670.9090.9741.1231.0031.0290.994
2011-20120.9981.0130.9871.0981.0001.0251.122
2012-20131.0361.0010.9881.0911.0011.0221.143
2013-20140.9680.9690.9791.0811.0011.0171.011
2014-20150.9700.8271.0871.1661.0011.0091.014
1995–20150.7340.3350.8107.2611.1441.7352.839

Note: ,  ,  ,  ,  ,  , and represent energy structure effect, energy consumption intensity effect, average consumption propensity effect, per capita income effect, population structure, population size effect, and total effect of urban residential CO2 emissions.