Literature DB >> 33846923

The embodied CO2 transfer across sectors of cities in Jing-Jin-Ji region: combining multi-regional input-output analysis with complex network analysis.

Xiaoping Zhang1, Tao Zhao1, Juan Wang2,3, Yujie Wei1.   

Abstract

The CO2 emission transfer at city level, especially across sectors of cities, has not yet been sufficiently quantified. This paper analyzes the embodied CO2 transfer across sectors of 13 cities in Jing-Jin-Ji region (Beijing-Tianjin-Hebei in China) combining multi-regional input-output analysis with complex network analysis. The results show that (1) most embodied CO2 transfers are concentrated in a few sectors and emission reduction effects on these sectors can be quickly extended to the entire embodied CO2 transfer network (ECTN). (2) The electricity and hot water production and supply sector in Beijing have the most embodied CO2 export partners and the strongest control over embodied CO2 transfer. The construction sector in Beijing has the most embodied CO2 import partners and greatest influence on the ECTN. (3) At city level, 90% of embodied CO2 transfers occur within the city, and the general direction of embodied CO2 transfer across cities is from resource-rich cities, Tangshan and Handan, to developed cities, Beijing and Tianjin. At sector level, the largest embodied CO2 transfer path is electricity and hot water production and supply → metallurgy → construction sector. (4) Embodied CO2 transfers of sectors in the same or adjacent cities are denser. Collection of sectors in Beijing and Tianjin is the densest embodied CO2 transfer community.

Entities:  

Keywords:  City; Complex network analysis; Embodied CO2 transfer; Jing-Jin-Ji region; Multi-regional input–output; Sector

Year:  2021        PMID: 33846923     DOI: 10.1007/s11356-021-13716-w

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  1 in total

1.  A social network analysis in dynamic evaluate critical industries based on input-output data of China.

Authors:  Can Wang; Huipeng Yang
Journal:  PLoS One       Date:  2022-04-07       Impact factor: 3.240

  1 in total

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