New provincial CO2 emission inventories in China based on apparent energy consumption data and updated emission factors

By Yuli Shan, Jianghua Liu, Zhu Liu, Xinwanghao Xu, Shuai Shao, Peng Wang, Dabo Guan. 2016

588 citations recorded by the source corpus.

This study employs “apparent energy consumption” approach and updated emissions factors to re-calculate Chinese provincial CO2 emissions during 2000–2012 to reduce the uncertainty in Chinese CO2 emission estimates for the first time. The study presents the changing emission-socioeconomic features of each provinces as well. The results indicate that Chinese provincial aggregated CO2 emissions calculated by the apparent energy consumption and updated emissions factors are coincident with the national emissions estimated by the same approach, which are 12.69% smaller than the one calculated by the traditional approach and IPCC default emission factors. The provincial aggregated CO2 emissions increased from 3160 million tonnes in 2000 to 8583 million tonnes in 2012. During the period, Shandong province contributed most to national emissions accumulatively (with an average percentage of 10.35%), followed by Liaoning (6.69%), Hebei (6.69%) and Shanxi provinces (6.25%). Most of the CO2 emissions were from raw coal, which is primarily burned in the thermal power sector. The analyses of per capita emissions and emission intensity in 2012 indicates that provinces located in the northwest and north had higher per capita CO2 emissions and emission intensities than the central and southeast coastal regions. Understanding the emissions and emission-socioeconomic characteristics of different provinces is critical for developing mitigation strategies.

Subfields: Automotive Engineering, Environmental Engineering, Health, Toxicology and Mutagenesis

View Paper: https://www.semanticscholar.org/paper/ce0bfd012d65e0d5e0377f580638a2f282852f59

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. D. Guan
2. Zhifu Mi
3. Jing Meng
4. Yi-Ming Wei
5. Kuishuang Feng
6. Zhu Liu

In Environmental Engineering

1. D. Guan
2. Jing Meng
3. Zhifu Mi
4. Yuli Shan
5. Zhu Liu
6. Kuishuang Feng
7. Yi-Ming Wei
8. Rong-Gang Cong

In Health, Toxicology and Mutagenesis

1. Jing Meng
2. D. Guan
3. Kuishuang Feng
4. Zhu Liu

Citations in the corpus

• Consumption-based emission accounting for Chinese cities (2016, methodology): “Therefore, we developed a method for constructing a production-based CO2 emissions inventory for Chinese cities using the definition provided by the IPCC territorial emission accounting approach [67-69].”
• Pattern changes in determinants of Chinese emissions (2017, methodology): “All the inventories used in this study can be freely downloaded from the website of China Emission Accounts and Datasets (CEADs) (www. ceads.net/) (Mi et al 2017b, Mi et al 2016, Shan et al 2016a).”
• China's “Exported Carbon” Peak: Patterns, Drivers, and Implications (2018, methodology): “The following equation is used to calculate CO2 emissions from cement production (Shan, Guan, et al., 2017; Shan et al., 2016): Ccement ¼ Dcement G; (5) where Ccement represents the CO2 emissions from cement production, Dcement is the amount of cement production, and G represents the CO2 emitted…”