垃圾
宣传
支付意愿
业务
分类
生活垃圾
中国
Probit模型
有序概率单位
消费(社会学)
普罗比特
工作(物理)
资源(消歧)
环境经济学
数据库
营销
经济
工程类
地理
计算机科学
废物管理
计量经济学
社会学
考古
微观经济学
程序设计语言
社会科学
计算机网络
机械工程
标识
DOI:10.1016/j.eiar.2022.106789
摘要
With the substantial increase in resource consumption in China, garbage recycling plays a vital role in reducing waste and protecting natural resources. This paper designed and conducted a random survey of four first-tier cities in China to identify the variables influencing residents' willingness to pay for garbage classification. Based on the ordered Probit model, the results show that different groups have substantial differences in supporting garbage classification. Overall, the proportion of residents willing to pay for garbage sorting is high, but the amount is in the lower range. In addition to individual characteristics, the frequency of garbage throwing, knowledge level, and publicity degree significantly enhance the willingness to pay for garbage classification. Therefore, policymakers need to consider why respondents refuse to pay for garbage sorting and promote the spread of garbage classification knowledge to further substantially promote the work of household waste classification. • Different groups have differences to support garbage classification. • The influencing factors of willingness and amount of payment are different. • Income, family size, and education level contribute to payments. • Classified knowledge and publicity contribute to payments. • The average price that people are willing to pay is in the lower range.
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