摘要
基于开封市龙亭区关于垃圾分类影响因素的304份调查问卷数据,建立结构方程模型(SEM)来分析垃圾分类影响因素之间的关系,数据分析结果发现,在社会经济因素、内在因素和外在因素中,社会经济因素对垃圾分类的影响最为显著,路径系数为0.843,而外在因素和内在因素与垃圾分类的路径系数分别为0.689和-0.534,且这三个维度与对应的可测变量之间的路径系数均大于0.7,最后向城市居民以及相关部门提出有助于进行垃圾分类的建议。
Based on the data of 304 questionnaires on the influencing factors of garbage classification in Longting District,Kaifeng City,a structural equation model(SEM)was established to analyze the relationship among the influencing factors of garbage classification.The data analysis found that in social and economic factor,internal factor and the external factor,the social and economic factor has the most significant impact on garbage classification,with a path coefficient of 0.843,while the path coefficient of the external and internal factors for garbage classification are 0.689 and-0.534 respectively.The path coefficients between the measurable variables are all greater than 0.7.Finally,suggestions to the urban residents and relevant departments are provided to facilitate garbage classification.
作者
孔维伟
KONG Wei-wei(College of Water Conservancy and Environment,Zhengzhou University,Zhengzhou 450001,China)
出处
《价值工程》
2020年第19期15-16,共2页
Value Engineering
关键词
SEM
垃圾分类
因素关系
Amos软件
SEM
garbage classification
factor relationship
Amos software