文献类型： 外文期刊
作者： Xie, Yuan 1 ; Wu, Qibin 2 ; He, Ting 1 ; Que, Yuyue 1 ; Chen, Rukai 1 ; Chen, Niandong 4 ; Que, Youxiong 1 ;
作者机构： 1.Fujian Agr & Forestry Univ, Coll Agr, Coll Rural Revitalizat, Natl Engn Res Ctr Sugarcane, Fuzhou 350002, Fujian, Peoples R China
2.Chinese Acad Trop Agr Sci, Sanya Res Inst, Inst Trop Biosci & Biotechnol, Natl Key Lab Trop Crop Breeding, Sanya 572024, Hainan, Peoples R China
3.Fujian Agr & Forestry Univ, Coll Comp & Informat Sci, Fuzhou 350002, Fujian, Peoples R China
4.Fuzhou Polytech, Fuzhou 350108, Fujian, Peoples R China
关键词： sugarcane carbon footprint; structural analysis; sensitivity analysis; individual fixed regression
期刊名称：ENVIRONMENTAL RESEARCH LETTERS （ 影响因子：5.6； 五年影响因子：7.2 ）
ISSN： 1748-9326
年卷期： 2025 年 20 卷 6 期
页码：
收录情况： SCI
摘要： Carbon footprint is vital for the sustainable development of sugarcane industry. In this study, a systematic investigation involving a life cycle approach, structure analysis, sensitivity analysis and the individual fixed regression was conducted on the structure, changing trends and driving factors of carbon footprint in Chinese sugarcane industry from 2012 to 2021. Results showed that the national average value of carbon footprint per unit area was 7.8317 t CO2e ha-1, whereas the average carbon footprint of yield and output were 0.1029 t CO2e t-1 and 0.2311 kg CO2e yuan-1, respectively. Notably, significant differences were observed in the carbon footprint of each main production region. Due to regional natural resource conditions, variations in industrial structure and differences in cultivation technology, Guangdong had the highest average carbon footprint per unit area (8.8213 t CO2e ha-1), while Hainan exhibited the lowest carbon footprint per unit area (7.0263 t CO2e ha-1), which was 79.65% of that in Guangdong. Sensitivity analysis demonstrated that when the major carbon source varies +/- 40%, the indirect sensitivity coefficient was 0.9775. Interestingly, Yunnan displayed the highest direct sensitivity (0.9802), while the weakest direct sensitivity (0.6098) was observed in Guangxi. At both natural and social levels, the main drivers of carbon footprint in sugarcane were fertilizer, agricultural film, sugarcane machinery and the disposable income of rural residents. From all the above, optimizing cultivation practices and machinery use, reducing fertilizer and agricultural film inputs while maintaining high yield and high sugar production and low-carbon utilization of straw represent the three directions for low-carbon sugarcane production in the future.
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