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Published September 10, 2017 | Supplemental Material + Published
Journal Article Open

Methodology and applications of city level CO_2 emission accounts in China

Abstract

China is the world's largest energy consumer and CO_2 emitter. Cities contribute 85% of the total CO_2 emissions in China and thus are considered as the key areas for implementing policies designed for climate change adaption and CO_2 emission mitigation. However, the emission inventory construction of Chinese cities has not been well researched, mainly owing to the lack of systematic statistics and poor data quality. Focusing on this research gap, we developed a set of methods for constructing CO_2 emissions inventories for Chinese cities based on energy balance table. The newly constructed emission inventory is compiled in terms of the definition provided by the IPCC territorial emission accounting approach and covers 47 socioeconomic sectors, 17 fossil fuels and 9 primary industry products, which is corresponding with the national and provincial inventory. In the study, we applied the methods to compile CO_2 emissions inventories for 24 common Chinese cities and examined uncertainties of the inventories. Understanding the emissions sources in Chinese cities is the basis for many climate policy and goal research in the future.

Additional Information

© 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). Received 28 November 2016, Revised 10 March 2017, Accepted 9 June 2017, Available online 14 June 2017. This work was supported by the National Key R&D Program of China (2016YFA0602604), the Natural Science Foundation of China (41629501, 71533005, 41328008, 71173209, 71503156, 71373153 and 71503168), the UK Economic and Social Research Council (ES/L016028/1) Natural Environment Research Council (NE/N00714X/1), British Academy Grant (AF150310), China's National Basic Research Program (2014CB441301), the State Key Laboratory of Urban and Regional Ecology, Chinese Academy of Sciences (SKLURE 2015-2-6), the UK Natural Environment Research Council project (NE/N00714X), the National Social Science Foundation of China (15CJY058), Shanghai Philosophy and Social Science Fund Project (2015EJB001 and 2015BJB005) and "Shuguang Program" of Shanghai Municipal Education Commission (14SG32), the joint Leverhulme Trust and Social Sciences Faculty Postgraduate Studentships at the University of East Anglia.

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August 19, 2023
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