Factors
Satelite
Total
Per Capita
Per GDP
1
Hebei207202.87MT2
Shandong181784.52MT3
Jiangsu173515.82MT4
Guangdong151660.02MT5
Liaoning135144.03MT6
Inner Mongolia117561.12MT7
Henan97341.14MT8
Shanxi93269.26MT9
Hubei91175.56MT10
Sichuan91037.69MT11
Zhejiang84641.80MT12
Hunan75925.13MT13
Xinjiang75911.13MT14
Shanghai66943.64MT15
Fujian66283.53MT16
Yunnan63340.64MT17
Shaanxi56491.85MT18
Guangxi55145.79MT19
Jiangxi52498.10MT20
Guizhou50099.99MT21
Heilongjiang46796.98MT22
Tianjin44132.40MT23
Jilin36759.37MT24
Chongqing36732.99MT25
Anhui36347.33MT26
Ningxia36347.33MT27
Gansu33347.48MT28
Beijing30337.47MT29
Qinghai17979.11MT30
Hainan11245.73MTData Source
Our data is processed from multiple data sources
The emission factors data is from the China Emission Accounts and Datasets (CEADS) https://www.ceads.net.cn/data/
The following is the citation:
- Shan et al. (2022) "City-level emission peak and drivers in China. Science Bulletin", doi.org/10.1016/j.scib.2022.08.024
- Shan et al. (2018) "City-level climate change mitigation in China. Science Advances" 3. Shan et al. (2017) "Methodology and applications of city level CO2 emission accounts in China. Journal of Cleaner Production" 4. Shan et al. (2019) "An emissions-socioeconomic inventory of Chinese cities. Scientific Data"
The satellite data is from the National Institute for Environmental Studies, Japan https://db.cger.nies.go.jp/dataset/ODIAC/
The following is the citation:
Tomohiro Oda, Shamil Maksyutov (2015), ODIAC Fossil Fuel CO2 Emissions Dataset (Version name*1 : ODIACYYYY or ODIACYYYYa), Center for Global Environmental Research, National Institute for Environmental Studies, doi:10.17595/20170411.001. (Reference date*2 : YYYY/MM/DD)
MT is million tons
CGe10 is the emission in 10^10 g CO2
CGe10/person CO2 emission per capita
CGe10/$ CO2 emission per GDP
全部数据
地区 | 数据源 | 时间 | 总量 | 人均 | 按GDP |
---|---|---|---|---|---|
Beijing | factors | 2019 | 88.155426789258 | 0.00000402663153790078 | 0.00211856573131699 |
Tianjin | factors | 2019 | 158.466534701371 | 0.0000114284171243053 | 0.00971513826006332 |
Shanghai | factors | 2019 | 192.912240324507 | 0.00000775654596766649 | 0.00432027197229528 |
Chongqing | factors | 2019 | 156.254681041724 | 0.0000048747084907679 | 0.00536423087101254 |
Hebei | factors | 2018 | 206429.1187 | 206429.1187 | 206429.1187 |
Shanxi | factors | 2018 | 87768.4003 | 87768.4003 | 87768.4003 |
Inner Mongolia | factors | 2018 | 107597.4392 | 107597.4392 | 107597.4392 |
Liaoning | factors | 2018 | 126261.885 | 126261.885 | 126261.885 |
Jilin | factors | 2018 | 35548.32873 | 35548.32873 | 35548.32873 |
Heilongjiang | factors | 2018 | 34570.35627 | 34570.35627 | 34570.35627 |
Shanghai | factors | 2018 | 63609.83468 | 63609.83468 | 63609.83468 |
Jiangsu | factors | 2018 | 161958.1257 | 161958.1257 | 161958.1257 |
Zhejiang | factors | 2018 | 82359.22593 | 82359.22593 | 82359.22593 |
Anhui | factors | 2018 | 68823.2963 | 68823.2963 | 68823.2963 |
Fujian | factors | 2018 | 62450.92887 | 62450.92887 | 62450.92887 |
Jiangxi | factors | 2018 | 51203.44534 | 51203.44534 | 51203.44534 |
Shandong | factors | 2018 | 171526.8673 | 171526.8673 | 171526.8673 |
Henan | factors | 2018 | 99805.67135 | 99805.67135 | 99805.67135 |
Hubei | factors | 2018 | 88795.5068 | 88795.5068 | 88795.5068 |
Hunan | factors | 2018 | 74807.01573 | 74807.01573 | 74807.01573 |
Guangdong | factors | 2018 | 152769.617 | 152769.617 | 152769.617 |
Guangxi | factors | 2018 | 53402.0258 | 53402.0258 | 53402.0258 |
Hainan | factors | 2018 | 10543.6547 | 10543.6547 | 10543.6547 |
Chongqing | factors | 2018 | 35751.4285 | 35751.4285 | 35751.4285 |
Sichuan | factors | 2018 | 87579.45977 | 87579.45977 | 87579.45977 |
Guizhou | factors | 2018 | 49161.27069 | 49161.27069 | 49161.27069 |
Yunnan | factors | 2018 | 60404.08354 | 60404.08354 | 60404.08354 |
Shaanxi | factors | 2018 | 53328.31996 | 53328.31996 | 53328.31996 |
Gansu | factors | 2018 | 33487.84246 | 33487.84246 | 33487.84246 |
Qinghai | factors | 2018 | 17795.98765 | 17795.98765 | 17795.98765 |
Ningxia | factors | 2018 | 32774.8791 | 32774.8791 | 32774.8791 |
Xinjiang | factors | 2018 | 32774.8791 | 32774.8791 | 32774.8791 |
Beijing | factors | 2019 | 30337.46538 | 30337.46538 | 30337.46538 |
Tianjin | factors | 2019 | 44132.40234 | 44132.40234 | 44132.40234 |
Hebei | factors | 2019 | 207202.8662 | 207202.8662 | 207202.8662 |
Shanxi | factors | 2019 | 93269.26212 | 93269.26212 | 93269.26212 |
Inner Mongolia | factors | 2019 | 117561.122 | 117561.122 | 117561.122 |
Liaoning | factors | 2019 | 135144.0323 | 135144.0323 | 135144.0323 |
Jilin | factors | 2019 | 36759.37326 | 36759.37326 | 36759.37326 |
Heilongjiang | factors | 2019 | 46796.98291 | 46796.98291 | 46796.98291 |
Shanghai | factors | 2019 | 66943.64069 | 66943.64069 | 66943.64069 |
Jiangsu | factors | 2019 | 173515.8228 | 173515.8228 | 173515.8228 |
Zhejiang | factors | 2019 | 84641.79508 | 84641.79508 | 84641.79508 |
Anhui | factors | 2019 | 36347.32654 | 36347.32654 | 36347.32654 |
Fujian | factors | 2019 | 66283.52745 | 66283.52745 | 66283.52745 |
Jiangxi | factors | 2019 | 52498.09556 | 52498.09556 | 52498.09556 |
Shandong | factors | 2019 | 181784.5181 | 181784.5181 | 181784.5181 |
Henan | factors | 2019 | 97341.13646 | 97341.13646 | 97341.13646 |
Hubei | factors | 2019 | 91175.56408 | 91175.56408 | 91175.56408 |
Hunan | factors | 2019 | 75925.13387 | 75925.13387 | 75925.13387 |
Guangdong | factors | 2019 | 151660.0169 | 151660.0169 | 151660.0169 |
Guangxi | factors | 2019 | 55145.79219 | 55145.79219 | 55145.79219 |
Hainan | factors | 2019 | 11245.72744 | 11245.72744 | 11245.72744 |
Chongqing | factors | 2019 | 36732.99398 | 36732.99398 | 36732.99398 |
Sichuan | factors | 2019 | 91037.68754 | 91037.68754 | 91037.68754 |
Guizhou | factors | 2019 | 50099.98658 | 50099.98658 | 50099.98658 |
Yunnan | factors | 2019 | 63340.64148 | 63340.64148 | 63340.64148 |
Shaanxi | factors | 2019 | 56491.85115 | 56491.85115 | 56491.85115 |
Gansu | factors | 2019 | 33347.47793 | 33347.47793 | 33347.47793 |
Qinghai | factors | 2019 | 17979.11052 | 17979.11052 | 17979.11052 |
Ningxia | factors | 2019 | 36347.32654 | 36347.32654 | 36347.32654 |
Xinjiang | factors | 2019 | 75911.1272 | 75911.1272 | 75911.1272 |