Carbon emission dynamics in baijiu industry: Drivers, footprint, and sustainable reduction pathways

Carbon reduction in the Baijiu industry is crucial for achieving SDG 12 and SDG 13, but limited carbon emission (CE) data hinders the development of effective reduction strategies. This study establishes the first national-level CE dataset for Baijiu and analyzes the characteristics and drivers of PCE (CE from Scope 1 and 2) and PCF (CE from Scope 1, 2, and 3). Our findings show that Baijiu production accounted for 50.81 % of the carbon emissions in China's liquor, beverage, and refined tea sector. Significant variations in PCE were observed across regions and flavor types, with boiler houses as the primary source of emissions. Key hotspots for PCE included Guizhou, Taiwan, Jiangxi, and Sichuan. PCE constituted 50.72 % of PCF, while upstream Scope 3 emissions made up 46.76 %. Packaging materials and in-plant processes significantly affected the PCF. PCE decreased with the increasing disclosure duration and granularity of carbon emission data. To align with SDG 12 and SDG 13, the Baijiu industry needs stricter carbon benchmarks and life-cycle carbon reduction pathways, focusing on in-plant emissions and Scope 3 emissions from packaging. This study provides a comprehensive carbon emission dataset and actionable reduction strategies, offering insights for sustainable industry transformation. • A national carbon emission dataset for Chinese baijiu. • The mean value of PCE is 2.59 kg CO2e·L −1 , ranging between 0.33 and 4.85 kg CO2e·L −1 . • The PCE and upstream Scope 3 emissions account for 50.72 % and 46.76 % of the PCF, respectively. • The hotspots of PCE in baijiu industry are from Guizhou, Taiwan, Jiangxi, and Sichuan.

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Publication Details

Journal
Environmental and Sustainability Indicators
Published
2025-11-08
DOI
https://doi.org/10.1016/j.indic.2025.101028
Primary Topic
Agriculture Sustainability and Environmental Impact
Type
article
Field-Weighted Citation Impact
0.00
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article

Carbon emission dynamics in baijiu industry: Drivers, footprint, and sustainable reduction pathways

Yao Zhao, Lijuan Gu, Lingfeng Zhou, Zhiqiang Cao
Environmental and Sustainability Indicators
Agriculture Sustainability and Environmental Impact
article

Carbon emission dynamics in baijiu industry: Drivers, footprint, and sustainable reduction pathways

Yao Zhao, Lijuan Gu, Lingfeng Zhou, Zhiqiang Cao
article en

Abstract

Carbon reduction in the Baijiu industry is crucial for achieving SDG 12 and SDG 13, but limited carbon emission (CE) data hinders the development of effective reduction strategies. This study establishes the first national-level CE dataset for Baijiu and analyzes the characteristics and drivers of PCE (CE from Scope 1 and 2) and PCF (CE from Scope 1, 2, and 3). Our findings show that Baijiu production accounted for 50.81 % of the carbon emissions in China's liquor, beverage, and refined tea sector. Significant variations in PCE were observed across regions and flavor types, with boiler houses as the primary source of emissions. Key hotspots for PCE included Guizhou, Taiwan, Jiangxi, and Sichuan. PCE constituted 50.72 % of PCF, while upstream Scope 3 emissions made up 46.76 %. Packaging materials and in-plant processes significantly affected the PCF. PCE decreased with the increasing disclosure duration and granularity of carbon emission data. To align with SDG 12 and SDG 13, the Baijiu industry needs stricter carbon benchmarks and life-cycle carbon reduction pathways, focusing on in-plant emissions and Scope 3 emissions from packaging. This study provides a comprehensive carbon emission dataset and actionable reduction strategies, offering insights for sustainable industry transformation. • A national carbon emission dataset for Chinese baijiu. • The mean value of PCE is 2.59 kg CO2e·L −1 , ranging between 0.33 and 4.85 kg CO2e·L −1 . • The PCE and upstream Scope 3 emissions account for 50.72 % and 46.76 % of the PCF, respectively. • The hotspots of PCE in baijiu industry are from Guizhou, Taiwan, Jiangxi, and Sichuan.

Environmental and Sustainability IndicatorsVol. 28
Zhejiang A & F University (CN), Chinese Academy of Sciences (CN), Agriculture and Forestry University (NP), Guangdong Academy of Sciences (CN), Jiyang College of Zhejiang A&F University (CN), Chinese Research Academy of Environmental Sciences (CN), Institute of Geographic Sciences and Natural Resources Research (CN), Zhejiang Academy of Forestry (CN)
Openalex Percentile: Top 68%
Agriculture Sustainability and Environmental Impact
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