中国建筑业碳排放时空特征及分省贡献

doi:10.18402/resci.2019.05.07

Abstract

Abstract:

As an important pillar industry in the rapid urbanization process of China, the construction industry has been facing the problems of high energy consumption and high emissions, and reducing carbon emissions in the construction industry is of great significance for China to achieve its goal of energy conservation. Based on the accounting of construction carbon emissions of 30 provinces in China’s mainland, this article describes and analyzes their spatiotemporal characteristics using the spatial autocorrelation and kernel density function, and the multiplicative logarithmic mean Divisa index (M-LMDI) method to decompose the contribution of energy consumption of construction industry and other related variables for 30 provinces of China’s mainland to national carbon emissions. The results show that: (1) Construction carbon emissions in China showed an upward trend, with positive spatial correlation across the country and spatial agglomeration. Centers of construction carbon emissions gradually moved to the central and southern regions, and the spatial agglomeration effect became increasingly more clear. (2) There were significant differences in construction carbon emissions in the 30 provinces, the gap between regions has continued to expand, and polarization has aggravated; (3) In 1997—2015, construction carbon emissions increased by 115% in the 30 provinces, and the development level of the construction industry and the population employed in the industry were the major contributors to the increase in construction carbon emissions, which led to an increase in construction carbon emissions by 106.52% and 85.43% respectively. On the contrary, the intensity of energy consumption in the construction industry has an constraining effect on construction carbon emissions, reducing carbon emissions by 77.33%; (4) The top two provinces that made the largest contribution to the decline in construction carbon emissions were Heilongjiang and Hainan Provinces, and the bottom two provinces that made the largest contribution to the increase of construction carbon emissions were Shandong and Zhejiang Provinces.

Key words: construction, carbon emissions, spatial autocorrelation, kernel density function, factor decomposition, provincial contribution, China

Jianshuang FAN, Lin ZHOU. Spatiotemporal distribution and provincial contribution decomposition of carbon emissions for the construction industry in China[J].Resources Science, 2019, 41(5): 897-907.

Figures/Tables 9

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References 22

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能源名称	碳排放因子/（TC/TJ）	低位热值/（GJ/T）	碳氧化比率
原煤	25.8	20.908	0.899
洗精煤	25.8	26.344	0.899
其他洗煤	25.8	9.409	0.899
型煤	25.8	16.800	0.899
焦炭	29.2	28.435	0.970
焦炉煤气	12.1	17.981/(GJ/10³ m³)	0.990
其他煤气	12.1	8.429/(GJ/10³ m³)	0.990
原油	20.0	41.816	0.980
汽油	18.9	43.070	0.980
煤油	19.5	43.070	0.980
柴油	20.2	42.652	0.980
燃料油	21.1	41.816	0.980
液化石油气	17.2	50.179	0.990
炼厂干气	15.7	45.998	0.990
天然气	15.3	38.931/(GJ/10³ m³)	0.990
其他石油制品	20.0	40.190	0.980
其他焦化产品	29.2	28.435	0.970

省（市、区）	所属区域	CO₂排放系数/（t CO₂/MWh）
北京、天津、河北、山西、山东、内蒙古	华北区域电网	1.0069
辽宁、吉林、黑龙江	东北区域电网	1.1293
上海、江苏、浙江、安徽、福建	华东区域电网	0.8825
河南、湖北、湖南、江西、四川、重庆	华中区域电网	1.1255
陕西、甘肃、青海、宁夏、新疆	西北区域电网	1.0246
广东、广西、云南、贵州	南方电网	0.9987
海南	海南电网	0.8154

省（市、区）	CO₂排放系数	省（市、区）	CO₂排放系数	省（市、区）	CO₂排放系数	省（市、区）	CO₂排放系数	省（市、区）	CO₂排放系数
安徽	116	贵州	292	湖南	110	宁夏	120	四川	105
北京	88	海南	57	吉林	132	青海	245	天津	108
福建	112	河北	122	江苏	109	山东	114	新疆	109
甘肃	110	河南	124	江西	134	山西	116	云南	149
广东	93	黑龙江	155	辽宁	130	陕西	149	浙江	104
广西	153	湖北	122	内蒙古	160	上海	102	重庆	98

省（市、区）	合计影响	CE变动影响	EG变动影响	GP变动影响	P变动影响
北京	0.032 1	-0.000 3	-0.029 7	0.029 2	0.032 9
天津	0.041 1	-0.000 6	-0.016 0	0.026 8	0.030 9
河北	0.054 9	0.008 3	-0.068 6	0.092 1	0.023 1
山西	0.027 6	0.001 2	-0.042 7	0.042 3	0.026 9
内蒙古	0.046 8	0.002 2	-0.045 6	0.089 5	0.000 8
辽宁	0.026 6	0.005 7	-0.052 9	0.055 5	0.018 2
吉林	0.031 4	-0.001 9	-0.015 7	0.023 7	0.025 3
黑龙江	-0.156 7	-0.008 2	-0.175 9	0.032 9	-0.005 5
上海	0.057 9	0.001 9	-0.027 9	0.038 6	0.045 3
江苏	0.060 3	0.001 5	-0.024 1	0.019 3	0.063 7
浙江	0.117 0	-0.002 6	0.028 1	0.004 1	0.087 4
安徽	0.039 1	-0.000 9	-0.008 9	0.027 2	0.021 7
福建	0.044 6	-0.003 7	-0.011 1	0.015 2	0.044 3
江西	0.025 3	0.001 1	0.005 8	-0.002 0	0.020 4
山东	0.162 5	0.003 9	-0.081 5	0.146 1	0.094 0
河南	0.048 8	-0.001 6	0.000 8	0.023 4	0.026 2
湖北	0.074 2	0.000 5	-0.027 0	0.040 8	0.060 0
湖南	0.080 4	-0.003 2	0.025 0	0.024 2	0.034 5
广东	0.088 9	-0.001 0	-0.024 0	0.084 5	0.029 4
广西	0.018 4	0.000 7	0.000 7	0.006 2	0.010 8
海南	-0.061 2	0.001 2	-0.071 8	0.013 9	-0.004 4
重庆	0.049 4	-0.002 9	-0.014 2	0.034 1	0.032 3
四川	0.049 4	-0.002 9	-0.014 2	0.034 1	0.032 3
贵州	0.049 5	0.000 1	-0.028 0	0.044 4	0.033 1
云南	0.030 1	-0.001 7	-0.005 0	0.018 2	0.018 7
陕西	0.048 3	-0.000 5	0.000 3	0.023 8	0.024 7
甘肃	0.044 4	0.003 1	-0.026 3	0.039 3	0.028 3
青海	0.019 0	0.001 6	-0.019 9	0.030 0	0.007 3
宁夏	0.010 1	-0.000 3	-0.002 1	0.010 8	0.001 6
新疆	0.016 2	-0.000 5	0.003 5	0.008 3	0.004 9

Spatiotemporal distribution and provincial contribution decomposition of carbon emissions for the construction industry in China

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