LAPSE:2023.5591
Published Article
LAPSE:2023.5591
Life Cycle Blue and Grey Water in the Supply Chain of China’s Apparel Manufacturing
Ao Liu, Aixi Han, Li Chai
February 23, 2023
Abstract
Apparel manufacturing involves high water consumption and heavy water pollution in its supply chain, e.g., planting cotton, producing chemical fibers, and dyeing. This study employs a multi-regional input−output (MRIO) model to (1) assess the life cycle of blue and grey water (chemical oxygen demand (COD) specific) of China’s apparel manufacturing; (2) reveal the hidden linkage among sectors and regions in the whole supply chain; and (3) identify the key regions and upstream sectors with the most water consumption and heaviest water pollution. We found that the agricultural sector (i.e., planting fiber crops) is responsible for primary water consumption and water pollution. In addition, different provinces assume different production roles. Guangdong is a major output province in apparel manufacturing. However, its economic output is contributed to by other regions, such as blue water from Xinjiang and Jiangsu and grey water from Hebei and Shandong. Our research reveals the significance of taking an inter-regional perspective on water resource issues throughout the supply chain in apparel manufacturing. The sustainable development of China’s apparel manufacturing relies on improving water-use efficiency and reasonable industrial layout. The results are of significance and informative for policymakers to build a water-sustainable apparel industry.
Keywords
apparel manufacturing, blue water, COD, grey water, life cycle, MRIO
Suggested Citation
Liu A, Han A, Chai L. Life Cycle Blue and Grey Water in the Supply Chain of China’s Apparel Manufacturing. (2023). LAPSE:2023.5591
Author Affiliations
Liu A: International College Beijing, China Agricultural University, Beijing 100083, China
Han A: International College Beijing, China Agricultural University, Beijing 100083, China
Chai L: International College Beijing, China Agricultural University, Beijing 100083, China; College of Economics and Management, China Agricultural University, Beijing 100083, China [ORCID]
Journal Name
Processes
Volume
9
Issue
7
First Page
1212
Year
2021
Publication Date
2021-07-15
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr9071212, Publication Type: Journal Article
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LAPSE:2023.5591
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https://doi.org/10.3390/pr9071212
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Feb 23, 2023
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Feb 23, 2023
 
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