摘要
农户是农村生活垃圾的责任主体,其分类行为对垃圾治理有决定性作用。选择以石家庄为代表的华北都市近郊农村作为区域典型代表,基于276位农户的调研数据,利用二元Logistic模型和斯皮尔曼相关系数双重统计分析手段,探究不同因素对农户分类行为的影响,以及不同影响因素之间的作用关系。结果表明,农户的垃圾分类了解程度对其行为有显著正向影响。而垃圾分类宣传不仅对农户分类行为有明显促进作用,还对其他影响因素存在正向调节效应。此外,分类设施与奖惩制度的进一步完善也将使农户投放习惯产生良性改变。综上,优化垃圾分类的宣传手段,提升分类设施的便利性,加强奖惩制度的规范化,能够更有针对性地提高农户对垃圾分类的了解程度,切实增强农户实施垃圾分类行为的主动性。
As the liability subject of rural household waste classification,farmers’behaviors played a decisive role in rural household waste management.Rural areas around Shijiazhuang were selected as typical example of North China in this study.Based on the survey data of 276 farmers,two statistical analysis methods of binary Logistic model and Spearman correlation coefficient were used to analyze the influence of different factors on farmers’waste classification behaviors,and the correlations between different factors.The results showed that farmers’knowledge of waste classification had a significant positive effect on their behaviors.The propaganda could not only had a significant promotion effect on farmers’classification behavior,but also had a positive moderating effect on other factors.In addition,the further improvement of classification facilities and the reward and punishment system might bring positive changes in the farmers’putting habits.Therefore,the propaganda means of waste classification should be optimized,the convenience of classification facilities should be improved,and the standardization of the reward and punishment system should be strengthened,which could contribute to farmers’understanding of waste classification in a more targeted way and enhance their initiative to implement waste classification.
作者
杨晨
王媛
李鹏飞
YANG Chen;WANG Yuan;LI Pengfei(College of Environmental Science and Engineering,Hebei University of Science and Technology,Shijiazhuang Hebei 050018;Hebei Pollution Control Biotechnology Laboratory,Shijiazhuang Hebei 050018)
出处
《环境卫生工程》
2023年第1期91-96,103,共7页
Environmental Sanitation Engineering
基金
河北省自然科学基金项目(B2019208273)
河北省高等学校青年拔尖人才项目(BJK2022042)。
关键词
垃圾分类
华北地区
农村
分类行为
统计分析
waste classification
North China
rural areas
classification behavior
statistical analysis