气候变化领域集成服务门户(CCPortal): Retrospect driving forces and forecasting reduction potentials of energy-related industrial carbon emissions from China's manufacturing at city level

CCPortal

DOI	10.1088/1748-9326/ab858b
	Retrospect driving forces and forecasting reduction potentials of energy-related industrial carbon emissions from China's manufacturing at city level
	Su Y.; Wang Y.; Zheng B.; Ciais P.; Wu J.; Chen X.; Wang Y.; Wang C.; Ye Y.; Li Q.; Zhang C.; Zhang H.; Huang G.; Huang N.; Lafortezza R.
发表日期	2020
ISSN	17489318
卷号	15 期号:7
英文摘要	Lack of either spatial or temporal coverage in city-level carbon emissions analysis might curb our understanding of historical drivers and make future forecasting uncertain. To fill these gaps, we analyzed time-series energy-related industrial carbon emissions (EICEs) from manufacturing in over 99 cities nationwide in China during the period 2000-2015. We estimated these cities' EICEs reduction potential up until 2030 by improving scenario design, which imposed constraints separately on different city groups based on historical drivers. Results indicated distinct changes of EICEs around 2013 for the heavy manufacturing [HM], light manufacturing [LM] and high-tech development [HD] city groups and of emissions intensity for the energy production [EP] city group. The slowing economic growth would partly explain these transformations since 2013. Energy efficiency and industrial structure contributed most to these switches for the EP and HD city groups, respectively, while energy mix and energy efficiency were also major contributors for the HM and LM city groups. Given economic growth at a normal speed, EICEs will increase by 59%, 78%, 90% and 95% for the EP, HM, LM and HD city groups, respectively, from 2015-2030. Our scenarios show that energy efficiency improvement and industrial structure optimization will spur the EICEs to peak before 2030 and limit future EICEs increase by 6.4% and 33.4% in 2030 for the EP and HD city groups, respectively. This implies that energy efficiency improvement and industrial structure optimization are key emissions mitigation factors for the EP and HD cities. Equally important, our study found more unclean fuel structure with higher coal share in the HM and LM city groups than in the other groups. It is therefore imperative to improve their energy efficiency and optimize energy and industrial structures in the HM and LM cities. Results highlight the need to impose different constraints in scenario design and provide mitigation strategies at city level. © 2020 The Author(s). Published by IOP Publishing Ltd.
英文关键词	carbon emission driver; carbon emission mitigation; city level; manufacturing; mitigation strategy; scenario design
语种	英语
scopus关键词	Carbon; Economics; Industrial emissions; Manufacture; Structural optimization; Emissions intensity; Emissions mitigation; Energy efficiency improvements; Energy productions; Industrial structures; Mitigation strategy; Reduction potential; Temporal coverage; Energy efficiency; carbon emission; economic growth; energy efficiency; industrial emission; manufacturing; spatiotemporal analysis; urban area; China
来源期刊	Environmental Research Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/153952
作者单位	Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangzhou, 510070, China; Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou, 510275, China; Southern Marine Science and Engineering Guangdong Laboratory, Guangzhou, 511458, China; Laboratoire des Sciences du Climat et de l'Environnement, UMR 1572 CEA-CNRS UVSQ, Gif sur Yvette, 91191, France; Department of Geography, University of Hong Kong, Centennial Campus, Pokfulam Road, Hong Kong; Department of Agricultural and Environmental Sciences, University of Bari 'A. Moro', Via Amendola 165/A, Bari, 70126, Italy; Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
推荐引用方式 GB/T 7714	Su Y.,Wang Y.,Zheng B.,et al. Retrospect driving forces and forecasting reduction potentials of energy-related industrial carbon emissions from China's manufacturing at city level[J],2020,15(7).
APA	Su Y..,Wang Y..,Zheng B..,Ciais P..,Wu J..,...&Lafortezza R..(2020).Retrospect driving forces and forecasting reduction potentials of energy-related industrial carbon emissions from China's manufacturing at city level.Environmental Research Letters,15(7).
MLA	Su Y.,et al."Retrospect driving forces and forecasting reduction potentials of energy-related industrial carbon emissions from China's manufacturing at city level".Environmental Research Letters 15.7(2020).