A factorial environment-oriented input-output model for diagnosing urban air pollution
- Submitting institution
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The University of Surrey
- Unit of assessment
- 12 - Engineering
- Output identifier
- 9027873_1
- Type
- D - Journal article
- DOI
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10.1016/j.jclepro.2019.117731
- Title of journal
- Journal of Cleaner Production
- Article number
- 117731
- First page
- 117731
- Volume
- 237
- Issue
- -
- ISSN
- 0959-6526
- Open access status
- Deposit exception
- Month of publication
- -
- Year of publication
- 2019
- URL
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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- Research group(s)
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- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This is the first research to integrate a factorial approach to diagnose the complex urban emission system by considering various air pollutants (i.e., NOx, SO2, CO, VOCs, and PM) from four energy sources (i.e., coal, coke, oil, and gas). The network centrality of various inter-sectoral transactions is proposed as a novel means of identifying sectors with the greatest influence on system performance. A case study for Guangdong Province, China is conducted and Manufacture of Metal and Non-metallic Mineral Products, Electric Power, and Electronic and Telecommunications Equipment are identified as the key pollutant transfer centres
- Author contribution statement
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- Non-English
- No
- English abstract
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