Literature DB >> 26727352

Betweenness-Based Method to Identify Critical Transmission Sectors for Supply Chain Environmental Pressure Mitigation.

Sai Liang1, Shen Qu1, Ming Xu1,2.   

Abstract

To develop industry-specific policies for mitigating environmental pressures, previous studies primarily focus on identifying sectors that directly generate large amounts of environmental pressures (a.k.a. production-based method) or indirectly drive large amounts of environmental pressures through supply chains (e.g., consumption-based method). In addition to those sectors as important environmental pressure producers or drivers, there exist sectors that are also important to environmental pressure mitigation as transmission centers. Economy-wide environmental pressure mitigation might be achieved by improving production efficiency of these key transmission sectors, that is, using less upstream inputs to produce unitary output. We develop a betweenness-based method to measure the importance of transmission sectors, borrowing the betweenness concept from network analysis. We quantify the betweenness of sectors by examining supply chain paths extracted from structural path analysis that pass through a particular sector. We take China as an example and find that those critical transmission sectors identified by betweenness-based method are not always identifiable by existing methods. This indicates that betweenness-based method can provide additional insights that cannot be obtained with existing methods on the roles individual sectors play in generating economy-wide environmental pressures. Betweenness-based method proposed here can therefore complement existing methods for guiding sector-level environmental pressure mitigation strategies.

Mesh:

Year:  2016        PMID: 26727352     DOI: 10.1021/acs.est.5b04855

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  7 in total

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Authors:  Liyuan Wei; Zhen Wang; Xiaoling Zhang
Journal:  Environ Sci Pollut Res Int       Date:  2019-02-07       Impact factor: 4.223

2.  Structural path analysis of China's coal consumption using input-output frameworks.

Authors:  Ligao Yang; Lulu Li; Kunfu Zhu; Rui Xie; Zhenguo Wang
Journal:  Environ Sci Pollut Res Int       Date:  2019-12-24       Impact factor: 4.223

3.  A study on carbon transfer and carbon emission critical paths in China: I-O analysis with multidimensional analytical framework.

Authors:  Lei Wen; Yixin Zhang
Journal:  Environ Sci Pollut Res Int       Date:  2020-01-10       Impact factor: 4.223

4.  Going Global to Local: Connecting Top-Down Accounting and Local Impacts, A Methodological Review of Spatially Explicit Input-Output Approaches.

Authors:  Zhongxiao Sun; Arnold Tukker; Paul Behrens
Journal:  Environ Sci Technol       Date:  2019-01-25       Impact factor: 9.028

5.  Global trade drives transboundary transfer of the health impacts of polycyclic aromatic hydrocarbon emissions.

Authors:  Ruifei Li; Jin Zhang; Peter Krebs
Journal:  Commun Earth Environ       Date:  2022-08-01

6.  The impact of the COVID-19 pandemic on China's economic structure: An input-output approach.

Authors:  Yang Han
Journal:  Struct Chang Econ Dyn       Date:  2022-09-30

7.  Global Electricity Trade Network: Structures and Implications.

Authors:  Ling Ji; Xiaoping Jia; Anthony S F Chiu; Ming Xu
Journal:  PLoS One       Date:  2016-08-09       Impact factor: 3.240

  7 in total

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