The temporal variation of CH4 emissions embodied in Chinese supply chains, 2000-2020

被引:1
|
作者
Wu, Jiaxi [1 ]
Chen, Mengxin [2 ]
Sun, Xialing [3 ]
Meng, Zheng [1 ,4 ]
机构
[1] China Univ Min & Technol, Sch Management, Beijing 100083, Peoples R China
[2] China Energy Engn Grp, Anhui Elect Power Design Inst Co Ltd, Beijing 230601, Peoples R China
[3] Shandong Second Med Univ, Sch Publ Hlth, Weifang 261053, Peoples R China
[4] Shihezi Univ, Sch Econ & Management, Shihezi 832000, Xinjiang, Peoples R China
来源
SCIENTIFIC REPORTS | 2024年 / 14卷 / 01期
关键词
Methane (CH4) emissions; Input-output analysis; Structure path analysis; Supply chains; China; CONSUMPTION;
D O I
10.1038/s41598-024-62979-z
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Although the issue of embodied pollutants in China's supply chains has garnered increasing attention, the dynamic changes occurring within them are unclear. Several existing studies analyze one-year or short-term data in supply chain. China's overall CH4 emissions have risen from 41.1 Tg in 2000 to 60 Tg in 2020, so conducting long-term analyses can yield a deeper understanding of the dynamic changes across the entire supply chain from production to consumption. This study uses the environmentally extended input-output analysis (EEIOA) and structural path analysis (SPA) methods to investigate the dynamic variation of China's embodied CH4 emissions in 20 industry sectors from 2000 to 2020, aiming to determine the key supply chain and key sectors. The results reveal that from the final demand perspective, consumption, investment and export drove 52.1%, 32%, and 15.9% of embodied CH4 emissions in 2020. The sector with the highest embodied CH4 emissions has changed from "Agriculture" in 2000 to "Construction" in 2010 to "Other service and activities" in 2020. The top listed supply chain path of embodied CH4 emissions has also evolved (starting from production to consumption) from "Agriculture -> Rural consumption" in 2000 to "Agriculture -> Food and tobacco -> Urban consumption" in 2010 to "Agriculture -> Urban consumption" in 2020. Notably, the high-ranked path, "Agriculture -> Food and tobacco -> Rural consumption", shows that the embodied CH4 emission flowing between agriculture and the food industry cannot be ignored. The supply chain path "Coal Mining -> Nonmetal Mineral Products -> Construction -> Capital Formation" has risen from 17th in 2000 to 3rd in 2020. Thus, it is necessary to control CH4 emissions from sectors upstream, which are predominantly influenced by the construction industry, and a coordinated effort between sectors is also required to effectively reduce emissions. By 2020, the CH4 emissions driven by urban consumption were 3.1 times that of rural consumption. This study provides a comprehensive analysis of China's supply chain over the past two decades. In particular, it suggests policy interventions by controlling critical supply chain paths and key sectors associated with embodied CH4 emission, thereby facilitating the coordinated reduction of anthropogenic CH4 emissions.
引用
收藏
页数:14
相关论文
共 50 条
  • [41] The impact of temporal variability in prior emissions on the optimization of urban anthropogenic emissions of CO2, CH4 and CO using in-situ observations
    Super, Ingrid
    Dellaert, Stijn N. C.
    Tokaya, Janot P.
    Schaap, Martijn
    [J]. ATMOSPHERIC ENVIRONMENT-X, 2021, 11
  • [42] Historical trend of China?s CH4 concentrations and emissions during 2003-2020 based on satellite observations, and their implications
    Chen, Di
    Chen, Ao
    Hu, Xiaoyi
    Guo, Liya
    Yang, Yang
    Fang, Xuekun
    [J]. ATMOSPHERIC POLLUTION RESEARCH, 2022, 13 (12)
  • [43] N2O and CH4 fluxes in potato fields:: automated measurement, management effects and temporal variation
    Flessa, H
    Ruser, R
    Schilling, R
    Loftfield, N
    Munch, JC
    Kaiser, EA
    Beese, F
    [J]. GEODERMA, 2002, 105 (3-4) : 307 - 325
  • [44] Magnitude and seasonal variation of N2O and CH4 emissions over a mixed agriculture-urban region
    Tong, Xin
    Scheeren, Bert
    Bosveld, Fred
    Hensen, Arjan
    Frumau, Arnoud
    Meijer, Harro A. J.
    Chen, Huilin
    [J]. AGRICULTURAL AND FOREST METEOROLOGY, 2023, 334
  • [45] Spatiotemporal variation of event related N2O and CH4 emissions during fertigation in a California almond orchard
    Alsina, Maria Mar
    Fanton-Borges, Ana Clara
    Smart, David R.
    [J]. ECOSPHERE, 2013, 4 (01):
  • [46] Differences in CH4 and N2O emissions between rice nurseries in Chinese major rice cropping areas
    Zhang, Yi
    Li, Zhijie
    Feng, Jinfei
    Zhang, Xin
    Jiang, Yu
    Chen, Jin
    Zhang, Mingqian
    Deng, Aixing
    Zhang, Weijian
    [J]. ATMOSPHERIC ENVIRONMENT, 2014, 96 : 220 - 228
  • [47] Magnitude and drivers of CO2 and CH4 emissions from an arid/semiarid river catchment on the Chinese Loess Plateau
    Ran, Lishan
    Shi, Hongyan
    Yang, Xiankun
    [J]. JOURNAL OF HYDROLOGY, 2021, 598
  • [48] Kinetics of methane oxidation in a landfill cover soil: Temporal variations, a whole landfill oxidation experiment, and modeling of net CH4 emissions
    Bogner, JE
    Spokas, KA
    Burton, EA
    [J]. ENVIRONMENTAL SCIENCE & TECHNOLOGY, 1997, 31 (09) : 2504 - 2514
  • [49] Increasing methane (CH4) emissions and altering rhizosphere microbial diversity in paddy soil by combining Chinese milk vetch and rice straw
    Ma, Qiaoying
    Li, Jiwei
    Aamer, Muhammad
    Huang, Guoqin
    [J]. PEERJ, 2020, 8
  • [50] Kinetics of methane oxidation in a landfill cover soil: Temporal variations, a whole-landfill oxidation experiment, and modeling of Net CH4 emissions
    Bogner, Jean E.
    Spokas, Kurt A.
    Burton, Elizabeth A.
    [J]. Environmental Science and Technology, 1997, 31 (09): : 2504 - 2514