Department of Industrial Engineering & Management, Shanghai Jiao Tong University, Shanghai 200240, China.
Department of Industrial Engineering and Engineering Management, Business School, Sichuan University, Chengdu 610064, China.
Waste Manag. 2022 Apr 1;142:120-131. doi: 10.1016/j.wasman.2022.02.014. Epub 2022 Feb 23.
Household waste recycling management is one of the primary challenges of urban development. Incentive-based recycling systems have been used worldwide to increase the willingness of residents to take part in waste recycling. However, the factors that influence the amount of recyclables collected under the current incentive-based recycling systems have not been investigated thoroughly. In this study, the relationships between influencing factors and recycling behaviour were analysed using partial least squares structural equation modelling under a proposed analysis framework. A real-world case study in Shanghai of China was employed to demonstrate the framework's effectiveness. Six major observations were uncovered based on the studied communities: (1) The amount of recyclables collected increased by 190.9% during the pilot period of the new incentive-based recycling policy. (2) The recycling promotion effect of the new policy reached a peak after approximately three months during the pilot period. (3) Recycling motivation and publicity efforts improved recycling behaviour significantly, but the sense of community belonging and exogenous factors like rainy days and holidays did not necessarily have direct impacts on recycling behaviour. (4) Recycling motivation significantly mediated the relationship between the sense of community belonging and waste recycling behaviour. (5) Although publicity efforts in the studied communities did not necessarily enhance recycling motivation, publicity efforts promoted recycling behaviour significantly in the incentive-based recycling system in Shanghai. (6) Although the studied recycling company has made substantial efforts to formulate attractive recycling prices, its current pricing mechanism still has much room for improvement. This analysis framework and our observations offer insights for government authorities to move towards an enhanced incentive-based recycling system.
生活垃圾回收管理是城市发展面临的主要挑战之一。基于激励的回收系统已在全球范围内用于提高居民参与废物回收的意愿。然而，目前基于激励的回收系统下影响可回收物收集量的因素尚未得到充分研究。在本研究中，使用偏最小二乘结构方程模型（PLS-SEM）在提出的分析框架下分析了影响因素与回收行为之间的关系。采用中国上海的实际案例研究来证明该框架的有效性。基于研究社区，得出了以下六个主要观察结果：（1）在新的基于激励的回收政策试点期间，可回收物的收集量增加了 190.9%。（2）新政策的回收促进效果在试点期间大约三个月后达到顶峰。（3）回收动机和宣传工作对回收行为有显著的改善作用，但社区归属感和雨天、节假日等外部因素不一定对回收行为有直接影响。（4）回收动机显著调节了社区归属感与废物回收行为之间的关系。（5）虽然研究社区的宣传工作不一定能提高回收动机，但在上海的基于激励的回收系统中，宣传工作显著促进了回收行为。（6）虽然研究中的回收公司已经做出了很大努力来制定有吸引力的回收价格，但它的现行定价机制仍有很大的改进空间。该分析框架和我们的观察结果为政府部门向增强型基于激励的回收系统提供了一些思路。
