2020
DOI: 10.1016/j.jclepro.2020.124185
|View full text |Cite
|
Sign up to set email alerts
|

Structural path and decomposition analysis of aggregate embodied energy intensities in China, 2012-2017

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 34 publications
(3 citation statements)
references
References 57 publications
0
3
0
Order By: Relevance
“…where QA n Ŷ represents the copper consumption occurring in the nth production layer, which is derived in the starting industry because of the final demand on the final industry in each supply chain path. Learning from previous experience [45,52], we just trace SPA up to the third order in this paper, which accounts for 82% of the total copper consumption for the year 2020.…”
Section: Structural Path Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…where QA n Ŷ represents the copper consumption occurring in the nth production layer, which is derived in the starting industry because of the final demand on the final industry in each supply chain path. Learning from previous experience [45,52], we just trace SPA up to the third order in this paper, which accounts for 82% of the total copper consumption for the year 2020.…”
Section: Structural Path Analysismentioning
confidence: 99%
“…The SPA method is applied to trace how final demand drives substance emissions/resources consumption and to identify critical transmission sectors along the supply chain path. Previous studies have analyzed the SPA of embodied CO 2 emissions [40,41], embodied mercury emission [42][43][44], embodied energy consumption [45,46], and so on. Complex network theory, developed from graph theory and network theory, is a superior approach to exploring the structure of complex systems such as power networks, transportation networks, input-output networks, and so on, and then inquiring into the relationship between the network's structure and function [47,48].…”
Section: Introductionmentioning
confidence: 99%
“…SDA has been widely applied to identify the determinants behind changes in energy use [34][35][36] and carbon emissions over time [37,38]. For example, using the SDA approach, Feng et al [39] employed the SDA model to investigate the factors influencing US emissions in the period 1997-2013 and found that the decreases in emissions were largely attributed to the economic recession.…”
Section: Literature Reviewmentioning
confidence: 99%