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Author:

Chen, Chen (Chen, Chen.) | Zhai, Mengyu (Zhai, Mengyu.) | Wang, Xu (Wang, Xu.) | Li, Wei (Li, Wei.) | Xu, Ye (Xu, Ye.) | Zhu, Yue (Zhu, Yue.)

Indexed by:

EI Scopus SCIE

Abstract:

Amid China's rapid economic expansion, the country's industrial solid waste (ISW) problem is escalating. As each sector generates distinct types of ISW, a multi-indicator assessment of each sector is essential to address China's New Solid Waste Policy. To investigate the ISW situation of each sector and perform a comprehensive assessment, we formulate an industrial solid waste ecological analysis framework based on ISW generation and ISW flow in the sector. Various indicators (i.e., solid waste utilization coefficient, solid waste threat coefficient, and solid waste threat intensity) are employed to assess the utilization of solid waste generated for each sector, as well as the threat of solid waste originating in each sector to society. Ecological network analysis probes the interrelationships between diverse sectors. Taking Shanghai in 2017 as an example, the study indicates that some sectors (e.g., production and supply of electric power and heat power (EH) and metal smelting and rolling processing sector (MS)) exhibit higher direct ISW generation and the direct industrial solid waste value-added coefficient (SVAC) for common industrial solid waste (CISW). Specifically, the direct CISW generation of EH and MS is 539.21Mt and 277.00Mt respectively. The direct SVAC of EH and MS is 157.06kg/103RMB and 126.27kg/103RMB respectively. These sectors should prioritize reducing emissions at the source. Additionally, the threats to society from various sectors are relatively insignificant for the CISW, while for the hazardous waste (HW), all sectors pose a considerable threat to Shanghai's society. Moreover, some sectors (e.g., mining industry) exhibit the highest mutualism relationships in the CISW and the HW. Enhancing mining sector technologies is a vital strategy for mitigating ISW sources. Specifically, MI has 9 pairs of mutualism relationships in the CISW and 8 pairs in the HW. These insights will provide empirical evidence for tackling the ISW problem in Shanghai.

Keyword:

Solid waste threat coefficient Network utility analysis Economic development Input-output Network control analysis Solid waste value-added coefficient

Author Community:

  • [ 1 ] [Chen, Chen]North China Elect Power Univ, Resources & Environm Res Acad, MOE Key Lab Reg Energy & Environm Syst Optimizat, Beijing 102206, Peoples R China
  • [ 2 ] [Wang, Xu]North China Elect Power Univ, Resources & Environm Res Acad, MOE Key Lab Reg Energy & Environm Syst Optimizat, Beijing 102206, Peoples R China
  • [ 3 ] [Li, Wei]North China Elect Power Univ, Resources & Environm Res Acad, MOE Key Lab Reg Energy & Environm Syst Optimizat, Beijing 102206, Peoples R China
  • [ 4 ] [Xu, Ye]North China Elect Power Univ, Resources & Environm Res Acad, MOE Key Lab Reg Energy & Environm Syst Optimizat, Beijing 102206, Peoples R China
  • [ 5 ] [Zhai, Mengyu]Beijing Univ Technol, Inst Circular Econ, Beijing, Peoples R China
  • [ 6 ] [Zhu, Yue]Boston Univ, Bay State Rd, Boston, MA 02215 USA

Reprint Author's Address:

  • [Li, Wei]North China Elect Power Univ, Resources & Environm Res Acad, MOE Key Lab Reg Energy & Environm Syst Optimizat, Beijing 102206, Peoples R China;;

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Source :

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

ISSN: 0944-1344

Year: 2023

Issue: 5

Volume: 31

Page: 7396-7407

5 . 8 0 0

JCR@2022

Cited Count:

WoS CC Cited Count: 2

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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