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Author:

Shu, Chang (Shu, Chang.) | Shao, Jing (Shao, Jing.) | Xiang, Nan (Xiang, Nan.) | Xu, Feng (Xu, Feng.)

Indexed by:

EI Scopus SCIE

Abstract:

Massive commodity transactions lead to enormous virtual water and water pollution transfer; this phenomenon will be intensified within the process of Regional Comprehensive Economic Partnership (RCEP) enforcement. This study applied multi-regional input-output and scenario simulation approach to reveal the virtual water elements flow, while exploring the trade structure optimisation roadmap for China. Results unveiled that China was a virtual water net exporter (9.17 billion tons), also the largest importer of water pollutants (N 622456 tons and P 136110 tons) among RCEP countries in 2015. In order to alleviate the water pressure in China, the textiles and other manufacturing industries should be limited, while the service industry is encouraged. Optimal scenario can realize 29.8% water conservation and 8% water pollutants reduction and also achieve a 36.5 million dollars trade volume increase. This research improves trade-off balance between water environment and economy at multi-regional level and accelerates green trade in economic partnerships globally.

Keyword:

multi-regional input-output water pollutant footprint scenario simulation virtual water flow RCEP

Author Community:

  • [ 1 ] [Shu, Chang]Beijing Univ Chem Technol, Sch Econ & Management, Beijing, Peoples R China
  • [ 2 ] [Xu, Feng]Beijing Univ Chem Technol, Sch Econ & Management, Beijing, Peoples R China
  • [ 3 ] [Shao, Jing]Beijing Univ Technol, Coll Econ & Management, Beijing, Peoples R China
  • [ 4 ] [Xiang, Nan]Beijing Univ Technol, Coll Econ & Management, Beijing, Peoples R China

Reprint Author's Address:

  • [Xiang, Nan]Beijing Univ Technol, Coll Econ & Management, Beijing, Peoples R China;;

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Source :

WATER AND ENVIRONMENT JOURNAL

ISSN: 1747-6585

Year: 2023

Issue: 4

Volume: 37

Page: 740-752

2 . 0 0 0

JCR@2022

ESI Discipline: ENVIRONMENT/ECOLOGY;

ESI HC Threshold:17

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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