摘要
利用投入—产出分析原理绘制浙江2003—2012年纺织产业碳足迹规模和碳强度的变化轨迹,采用主成分回归分析方法评价和判定纺织产业碳足迹各影响因素的权重。结果表明:浙江纺织产业的整体规模对碳足迹总量有着重要影响,而能源结构的变化也显著影响到碳足迹和碳强度,纱、布、呢绒等细分产业是影响碳足迹的关键领域,具有很大的减排空间。因此,应从关键领域着手,综合施策,实现浙江纺织产业的低碳可持续发展。
The input - output analysis principle was used to draw the trajectory of carbon footprint scale and carbon intensity of Zhejiang textile industry during the decade of 2003 - 2012, and the principal component regression analysis method was used to evaluate and determine the weight of each influence factors of carbon footprint in the textile industry. The results showed that the overall size of Zhejiang textile industry had a critical impact on the carbon footprint scale, and energy structure also significantly affected the carbon footprint and carbon intensity, and yarn, cloth and woolen industry segments were the key factors affecting carbon footprint, with a great emission reduction potential. To motivate Zhejiang's textile industry to achieve sustainable lowcarbon development,it was necessary to make progress and carry out comprehensive strategies in key areas.
出处
《资源开发与市场》
CAS
CSSCI
2015年第2期133-137,共5页
Resource Development & Market
基金
国家自然科学基金项目(编号:71172174)
教育部人文社科青年基金项目(13YJC630089)
浙江大学生科技创新活动计划(新苗人才计划)项目(编号:2013R426036)
关键词
纺织产业
碳足迹
碳强度
实证分析
主成分回归分析
textile industry
carbon footprint
carbon intensity
empirical study
principal component regression analysis