摘要
新冠肺炎(COVID-19)疫情对公众的生活方式产生了巨大影响,物资短缺导致公众有意识地去节约生活必需品,间接地培养了公众的环境保护意识与可持续发展意识。其中,公众对服装可持续的关注度也受到了影响。为探索影响程度,文章基于旧衣回收、旧衣改造和旧衣捐赠的百度指数进行了分析。通过STL算法对公众关注度进行时间序列分解,分离出能反映变化趋势的趋势分量;利用熵值法分别计算疫情前后具体行为的指标权重。结果表明:新冠肺炎疫情在一定程度上提升了公众对服装可持续消费的关注度;在后疫情时期,公众更加关注旧衣回收这一可持续行为,旧衣改造及捐赠的关注度均有所下降。据此,根据变化趋势对后疫情时期服装可持续消费行为的践行提出针对性建议。
The COVID-19 epidemic has exerted tremendous impact on the public lifestyle.Due to the shortage of living materials,people have consciously saved the necessities of life,indirectly cultivating the environmental protection awareness and sustainability awareness.However,the public attention to clothing sustainability has been inclined.To explore the impact degree,the Baidu indexes on old clothes recycling,old clothes renovation and old clothes donation were analyzed.The STL algorithm was used for the decomposition of the time series of the public attention to isolate the trend components that can reflect the change trend;the index weights of the specific behaviors of sustainable clothing consumption before and after the COVID-19 epidemic were calculated using entropy method.The results have shown that the COVID-19 epidemic has increased the public attention to sustainable clothing consumption;during the post-epidemic period,the public have paid more attention to the sustainable behavior of old clothes recycling,and the attention to old clothes renovation and donation has declined.Therefore,according to the trend of change,targeted suggestions were proposed on the implementation of sustainable clothing consumption behaviors during the post-epidemic period.
作者
魏山森
梁建芳
WEI Shansen;LIANG Jianfang(School of Apparel and Art Design,Xi’an Polytechnic University,Xi’an 710048,China)
出处
《丝绸》
CAS
CSCD
北大核心
2021年第12期40-46,共7页
Journal of Silk
基金
国家社会科学基金项目(20XSH019)。
关键词
新冠肺炎疫情
服装可持续消费
百度指数
STL算法
熵值法
COVID-19 epidemic
sustainable clothing consumption
Baidu index
STL algorithm
entropy method
作者简介
魏山森(1998),男,硕士研究生,研究方向为服装设计与工程;通信作者:梁建芳,教授,liangjianfang69@163.com。
