Methodology and applications of city level CO2 emission accounts in China

Shan, Yuli; Guan, Dabo; Liu, Jianghua; Mi, Zhifu; Liu, Zhu; Liu, Jingru; Schroeder, Heike; Cai, Bofeng; Yang, Chen; Shao, Shuai; Zhang, Qiang

doi:10.1016/j.jclepro.2017.06.075

Cited by 428 publications

(215 citation statements)

References 58 publications

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“…CO2 emissions data were compiled by Shan and published in China Emission Accounts and Datasets [64], [65]. Water withdrawal data were also compiled.…”

Section: Datamentioning

confidence: 99%

City-level water-energy nexus in Beijing-Tianjin-Hebei region

Yang

Shan

et al. 2019

Applied Energy

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Water-energy nexus in a city can either prompt or undermine its development. Yet in China, the relevant research is rarely found. This study accounts the city-level water-energy nexus in Beijing-Tianjin-Hebei region in 2012 from both production and consumption perspectives, where input-output analysis based on city-level input-output tables are applied to conduct consumption-based accounts. Regarding water for energy, Beijing, Tianjin and Tangshan occupy the largest amounts of water for production in the energy sector, at 203 million tonnes (Mt), 148 Mt and 118 Mt, and they also consume most water for energy, at 6690 Mt, 1328 Mt and 1476 Mt. In terms of energy for water, Shijiazhuang and Tianjin have the largest amounts of CO2 emissions for production and consumption respectively, at 28 thousand tonnes (Kt) and 1746 Kt. Furthermore, local authorities should prioritise electricity sector as it holds 69% and 72% of the total water amounts for production and consumption in the energy sector. Besides, integrated management is crucial for cities with low water and energy efficiency (Baoding and Zhangjiakou), and for large CO2 emitters in Hebei province in order to ensure their water and energy sustainability without stunting their economic growth.

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“…CO2 emissions data were compiled by Shan and published in China Emission Accounts and Datasets [64], [65]. Water withdrawal data were also compiled.…”

Section: Datamentioning

confidence: 99%

City-level water-energy nexus in Beijing-Tianjin-Hebei region

Yang

Shan

et al. 2019

Applied Energy

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“…It is located in central China, which is the largest, most integrated and most densely populated urban agglomeration among the Yangtze River Delta, the Pearl River Delta and the Beijing-Tianjin-Hebei region. It covers 30 cities in Henan, Shanxi, Hebei, Shandong and Anhui [35]. Its energy consumption is great, and its high CO2 emissions are obvious [36].…”

Section: Methods and Data 21 Co 2 Emissions Accounting Boundarymentioning

confidence: 99%

Decoupling of economic growth and emissions in China’s cities: A case study of the Central Plains urban agglomeration

Shan

Lei

et al. 2019

Applied Energy

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Recently, the economy has grown rapidly in China's Central Plains urban agglomeration, with high energy consumption and a huge pressure on reducing CO 2 emissions. Thus, low-carbon development is an important measure to solve economic, energy and environmental problems. To analyse low-emission development, this paper clarifies the evolutionary characteristics of CO 2 emissions and the decoupling relationship between GDP and CO 2 emissions based on the latest available data from 2000 to 2015. The results indicate that CO 2 emissions of Pingdingshan and 1 Li Li analyzed the data and wrote the manusript;Yuli Shan guided to analyze the data;Yalin Lei and Yuli Shan designed the research together;Sanmang Wu and Xiang Yu put forward some advice in the results analysis;Xiyan Lin and Yupei Chen contributed new analytic ideas in the revised paper. 2Changzhi are higher in the same year. The ratios from coal consumption accounting for the total CO 2 emissions are clearly bigger than from other energy types and industrial processes. Changzhi, Luoyang and Pingdingshan have reached their peaks. Five cities have experienced strong decoupling after 2010, 13 cities present weak decoupling, 4 cities present growth connection, and 7 cities show growth negative decoupling. It can be concluded that a relatively smaller proportion of industry and strict policy implementations of coal reduction are the main factors in inhibiting the decoupling. So the proportion of coal purification should be increased firstly. Then, the energy consumption structure should be changed from the traditional coal consumption structure to coal, oil and gas. Lastly, economic means can be used to control CO 2 emissions.

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“…As an accurate and up-to-date inventory of energy, emission and socioeconomic data, we chose inventories provided by the China Emission Accounts and Datasets (CEADs) (www.ceads.net). This database is calculated based on apparent energy consumption from a mass balance of domestic fuel production, international fuelling, international trade, changes in stocks, and subsequent consumption, in connection with revised emission factors (EFs) based on 12 sets of fossil fuel combustion (Liu et al 2015a, Shan et al 2017. This study specifically uses the city-level CO 2 emission inventory of FFCO 2 emissions, which covers 46 socioeconomic sectors, 17 different fossil fuels, and 7 primary industry products, across 182 cities in China, following the IPCC territorial emission accounting approach, and in agreement with national and provincial emission accounts by former studies (Liu 2016).…”

Section: St City-level Co 2 Emission Inventorymentioning

confidence: 99%

High-resolution spatiotemporal patterns of China’s FFCO₂ emissions under the impact of LUCC from 2000 to 2015

Zhao

Cohen

Chen

et al. 2020

Environ. Res. Lett.

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Fossil fuel carbon dioxide (FFCO 2 ) emissions have become a principal driver behind the increase of atmospheric CO 2 concentration and spatiotemporal variations of atmospheric CO 2 in the urban surface layer. This study quantifies the 2000-2015 urban high-resolution spatiotemporal patterns of China's FFCO 2 emissions under the impact of the land-use and land-cover change. Multi-source data were used together with various up-to-date geostatistics and spatial analysis methods. FFCO 2 emissions were determined to rise over the 15 years in the highest emitting cities in the South and East of China. The high-value clusters inside of all cities expanded outward from their city centers and in some cases transferred to economic development zones or new city centers, while the expansion speeds and variation time were found to differ significantly. We found further that then FFCO 2 emissions spatial distribution is interconnected with diverse factors: urbanization, and either croplands (rainfed, irrigated, and post-flooding) or native vegetation, being the two most important. As expected, the increase in urban areas was associated with increased FFCO 2 emissions, while the wettability in croplands or the increase in native vegetation have an association with the decrease of FFCO 2 emissions. Unlike previous studies, we have found no change associated with changes in water cover. Finally, while the primary source of FFCO 2 emissions is still coal, there has been a gradual move to cleaner energy (natural gas in Beijing) or more efficient industrial processes (Wuxi and Dalian), although diverse industrial structures and energy efficiencies exist. Over time, the current spatial patterns of FFCO 2 emissions in China will conflict with these trends at the macroscale.

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Methodology and applications of city level CO2 emission accounts in China

Cited by 428 publications

References 58 publications

City-level water-energy nexus in Beijing-Tianjin-Hebei region

City-level water-energy nexus in Beijing-Tianjin-Hebei region

Decoupling of economic growth and emissions in China’s cities: A case study of the Central Plains urban agglomeration

High-resolution spatiotemporal patterns of China’s FFCO₂ emissions under the impact of LUCC from 2000 to 2015

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Methodology and applications of city level CO2 emission accounts in China

Cited by 428 publications

References 58 publications

City-level water-energy nexus in Beijing-Tianjin-Hebei region

City-level water-energy nexus in Beijing-Tianjin-Hebei region

Decoupling of economic growth and emissions in China’s cities: A case study of the Central Plains urban agglomeration

High-resolution spatiotemporal patterns of China’s FFCO2 emissions under the impact of LUCC from 2000 to 2015

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High-resolution spatiotemporal patterns of China’s FFCO₂ emissions under the impact of LUCC from 2000 to 2015