Research Article

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

Table 3

Annual decomposition effect of rural residential CO2 emissions in Beijing.

Year

1995-19961.0021.0210.9830.9990.9821.0070.994
1996-19970.9931.1160.9971.0060.9830.9851.075
1997-19981.0020.9250.9841.0470.9831.0050.943
1998-19990.9970.8610.9931.0650.9831.0090.900
1999-20001.0030.9081.0121.0490.9891.0851.037
2000-20010.9970.9571.0001.0920.9771.0161.033
2001-20020.9980.8060.9741.1350.9771.0280.894
2002-20030.9951.2171.0021.1030.9771.0231.337
2003-20041.0140.9240.9511.0930.9771.0250.975
2004-20050.9811.0331.0301.0910.8001.0300.939
2005-20060.9401.1651.0021.1170.9561.0411.221
2006-20070.9840.8831.0161.1350.9901.0471.039
2007-20081.0170.6760.9971.1710.9741.0570.826
2008-20090.9650.9721.0711.1510.9931.0501.206
2009-20100.9771.0220.9991.0900.9371.0551.075
2010-20110.9710.9620.9861.1030.9801.0291.025
2011-20121.0370.8040.9591.1071.0031.0250.910
2012-20131.0160.7601.0251.0980.9931.0220.882
2013-20140.9780.9240.9721.0950.9931.0170.971
2014-20150.9910.8941.0700.9850.9921.0090.934
1995–20150.8700.2481.0145.1680.5541.7351.074

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 rural residential CO2 emissions.