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Volume 17, Issue 4
Consumer Clothing Carbon Footprint Accounting and Evaluation

Qiu-Lin Zhu, Jian-Fang Liang, Xiang-Wen Chen & Jing Ling

Journal of Fiber Bioengineering & Informatics, 17 (2024), pp. 223-232.

Published online: 2024-12

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  • Abstract

Sustainability in the fashion and textile industry is becoming a significant research focus due to global warming and climate change. However, more research is needed on consumers’ carbon emissions in the context of clothing consumers. This study focuses on consumers and develops a comprehensive accounting model of the carbon footprint of clothing consumption. A simulation experiment is conducted through surveys and empirical data to calculate the carbon emissions associated with consumers engaging in clothing purchase and clothing use. The sensitivity analysis examines the factors influencing carbon emissions at each stage. The finding reveals that in the overall carbon footprint of clothing consumers, clothing use has the highest impact than clothing purchase. The findings from this study offer valuable insights for consumers looking to reduce their carbon footprint during clothing purchase and use and also serve as a foundation for future research endeavours, which has great significance for the reduction of carbon emissions in society as a whole.

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@Article{JFBI-17-223, author = {Zhu , Qiu-LinLiang , Jian-FangChen , Xiang-Wen and Ling , Jing}, title = {Consumer Clothing Carbon Footprint Accounting and Evaluation}, journal = {Journal of Fiber Bioengineering and Informatics}, year = {2024}, volume = {17}, number = {4}, pages = {223--232}, abstract = {

Sustainability in the fashion and textile industry is becoming a significant research focus due to global warming and climate change. However, more research is needed on consumers’ carbon emissions in the context of clothing consumers. This study focuses on consumers and develops a comprehensive accounting model of the carbon footprint of clothing consumption. A simulation experiment is conducted through surveys and empirical data to calculate the carbon emissions associated with consumers engaging in clothing purchase and clothing use. The sensitivity analysis examines the factors influencing carbon emissions at each stage. The finding reveals that in the overall carbon footprint of clothing consumers, clothing use has the highest impact than clothing purchase. The findings from this study offer valuable insights for consumers looking to reduce their carbon footprint during clothing purchase and use and also serve as a foundation for future research endeavours, which has great significance for the reduction of carbon emissions in society as a whole.

}, issn = {2617-8699}, doi = {https://doi.org/10.3993/jfbim03031}, url = {http://global-sci.org/intro/article_detail/jfbi/23658.html} }
TY - JOUR T1 - Consumer Clothing Carbon Footprint Accounting and Evaluation AU - Zhu , Qiu-Lin AU - Liang , Jian-Fang AU - Chen , Xiang-Wen AU - Ling , Jing JO - Journal of Fiber Bioengineering and Informatics VL - 4 SP - 223 EP - 232 PY - 2024 DA - 2024/12 SN - 17 DO - http://doi.org/10.3993/jfbim03031 UR - https://global-sci.org/intro/article_detail/jfbi/23658.html KW - Clothing Consumption, Consumer Behavior, Carbon Footprint, Sensitivity Analysis. AB -

Sustainability in the fashion and textile industry is becoming a significant research focus due to global warming and climate change. However, more research is needed on consumers’ carbon emissions in the context of clothing consumers. This study focuses on consumers and develops a comprehensive accounting model of the carbon footprint of clothing consumption. A simulation experiment is conducted through surveys and empirical data to calculate the carbon emissions associated with consumers engaging in clothing purchase and clothing use. The sensitivity analysis examines the factors influencing carbon emissions at each stage. The finding reveals that in the overall carbon footprint of clothing consumers, clothing use has the highest impact than clothing purchase. The findings from this study offer valuable insights for consumers looking to reduce their carbon footprint during clothing purchase and use and also serve as a foundation for future research endeavours, which has great significance for the reduction of carbon emissions in society as a whole.

Zhu , Qiu-LinLiang , Jian-FangChen , Xiang-Wen and Ling , Jing. (2024). Consumer Clothing Carbon Footprint Accounting and Evaluation. Journal of Fiber Bioengineering and Informatics. 17 (4). 223-232. doi:10.3993/jfbim03031
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