volume 217 pages 108200

Tracing the carbon footprint of cotton garments from seed to garment: Evidence from an empirical study of multiple sites in China

Shuchen Wang 1
Chenxi Chong 2
Huang Weibin 1
Simeng Guo 2
Yuhan Wang 2
Yaopeng Zhang 2
Zhanlei Pan 2
Jian Wang 2
Xin Li 2
Wenqi Zhao 3
Zhenggui Zhang 1, 2, 3
Zhanbiao Wang 1, 2, 3
2
 
National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, Henan, 455000, China
3
 
Institute of Western Agriculture, the Chinese Academy of Agricultural sciences, Changji 831100, PR China
Publication typeJournal Article
Publication date2025-05-01
scimago Q1
wos Q1
SJR2.872
CiteScore24.7
Impact factor10.9
ISSN09213449, 18790658
Abstract
Greenhouse gas (GHG) emissions from Chinese textile production are an important component of global industry, but their intensity varies by textile type. This study addresses the issue of scant research on the carbon footprint of cotton garments in China. Using cross-provincial surveys, emission coefficients, and life cycle assessment (LCA) methods, we analysed the environmental impact of five major types of cotton garments, providing insights into their environmental effects. The carbon footprints significantly differed among the five garments used in this study: childrenswear (2.42 kg CO2eq), knitwear (7.24 kg CO2eq), fatigues (38.64 kg CO2eq), T-shirts (9.18 kg CO2eq), and workwear (20.25 kg CO2eq). At the production stage of cotton, the main components of carbon emissions are electricity, nitrous oxide (N2O) and fertilizers, accounting for 49.18, 18.84 and 14.10 % of emissions, respectively. The impacts of textile production depend on the energy cost, processing technique, and factory size. Additionally, we analysed four optimization scenarios—utilizing clean energy, optimizing factory sizes, using organic cotton, and enhancing recycling, which could reduce carbon footprints by 52.48, 30.43, 35.95 and 62.40 %, respectively. This finding suggests a potential approach for mitigating carbon emissions from cotton textile production and supporting the transformation of the cotton textile industry towards sustainable development, providing a basis for global emission reduction strategies in the cotton textile industry.
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GOST Copy
Wang S. et al. Tracing the carbon footprint of cotton garments from seed to garment: Evidence from an empirical study of multiple sites in China // Resources, Conservation and Recycling. 2025. Vol. 217. p. 108200.
GOST all authors (up to 50) Copy
Wang S., Chong C., Weibin H., Guo S., Wang Y., Zhang Y., Pan Z., Wang J., Li X., Zhao W., Zhang Z., Wang Z. Tracing the carbon footprint of cotton garments from seed to garment: Evidence from an empirical study of multiple sites in China // Resources, Conservation and Recycling. 2025. Vol. 217. p. 108200.
RIS |
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RIS Copy
TY - JOUR
DO - 10.1016/j.resconrec.2025.108200
UR - https://linkinghub.elsevier.com/retrieve/pii/S0921344925000795
TI - Tracing the carbon footprint of cotton garments from seed to garment: Evidence from an empirical study of multiple sites in China
T2 - Resources, Conservation and Recycling
AU - Wang, Shuchen
AU - Chong, Chenxi
AU - Weibin, Huang
AU - Guo, Simeng
AU - Wang, Yuhan
AU - Zhang, Yaopeng
AU - Pan, Zhanlei
AU - Wang, Jian
AU - Li, Xin
AU - Zhao, Wenqi
AU - Zhang, Zhenggui
AU - Wang, Zhanbiao
PY - 2025
DA - 2025/05/01
PB - Elsevier
SP - 108200
VL - 217
SN - 0921-3449
SN - 1879-0658
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2025_Wang,
author = {Shuchen Wang and Chenxi Chong and Huang Weibin and Simeng Guo and Yuhan Wang and Yaopeng Zhang and Zhanlei Pan and Jian Wang and Xin Li and Wenqi Zhao and Zhenggui Zhang and Zhanbiao Wang},
title = {Tracing the carbon footprint of cotton garments from seed to garment: Evidence from an empirical study of multiple sites in China},
journal = {Resources, Conservation and Recycling},
year = {2025},
volume = {217},
publisher = {Elsevier},
month = {may},
url = {https://linkinghub.elsevier.com/retrieve/pii/S0921344925000795},
pages = {108200},
doi = {10.1016/j.resconrec.2025.108200}
}
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