Literature DB >> 32421561

Analysis of urban carbon metabolism characteristics based on provincial input-output tables.

Qionghong Chen1, Meirong Su2, Fanxin Meng3, Yufei Liu4, Yanpeng Cai5, Ya Zhou5, Zhifeng Yang5.   

Abstract

To identify the key contributors of urban carbon emissions as well as the acting paths, it is necessary to analyze the carbon flows from a systematic perspective. Thus, the concept of urban carbon metabolism was introduced in this paper and correspondingly input-output analysis (IOA) and ecological network analysis (ENA) were combined to conduct the carbon metabolism analysis. Concretely speaking, the urban IO table was compiled based on the provincial one and then the direct and embodied urban carbon flows were accounted. Subsequently, the carbon metabolic network model was established, through which the characteristics of the metabolic network were further analyzed to better reveal the contributors and influencing factors of carbon emissions. Dongguan, a city famous as the "factory of the world", was chosen as the case. The results indicate that the total direct and embodied carbon flows were mainly concentrated in manufacture. Manufacture was found to be major factors affecting other compartments through indirect interplay. A trophic hierarchical structure was found, where compartments can be classified into primary producers, secondary producers, primary consumers and secondary consumers according to their metabolic characteristics in use of energy. Electricity, gas & water were defined as secondary producer, and its self-induced carbon flows accounted for more than 95% of the carbon flow conversion within this compartment. By further comparing the metabolic characteristics in Dongguan with that of Guangdong Province and other cities, measures were suggested to heighten energy utilization efficiency and promote positive interactions among compartments to promote the carbon emission reduction in Dongguan.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Dongguan; Ecological network analysis; Ecological relationship; Input-output analysis; Urban carbon metabolism

Year:  2020        PMID: 32421561     DOI: 10.1016/j.jenvman.2020.110561

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  1 in total

1.  Exploring Potential Ways to Reduce the Carbon Emission Gap in an Urban Metabolic System: A Network Perspective.

Authors:  Linlin Xia; Jianfeng Wei; Ruwei Wang; Lei Chen; Yan Zhang; Zhifeng Yang
Journal:  Int J Environ Res Public Health       Date:  2022-05-10       Impact factor: 4.614

  1 in total

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