Heterogeneous effects of other-regarding interventions on household recycling: A field experimental study

In-depth analysis to develop a social marketing model to promote women's participation in waste segregation behaviour: A qualitative study

Waste separation is one of the key factors in managing solid waste and creating a healthy environment. Waste separation at source has always been associated with challenges. Therefore, this study was conducted to determine the perceptions of housewives and related parties regarding the factors that influence waste separation behaviour and to identify approaches to improve behaviour based on the social marketing framework. This study was conducted as a qualitative content analysis in Amol City in 2022. The data was collected through semi-structured individual interviews. A total of 25 housewives were selected as main participants and 5 stakeholders through purposive selection. The results of the study included lack of awareness of recyclable materials (product), personal, family and environmental barriers (price), lack of doorstep collection of dry waste (place), and lack of use of appropriate technology (promotion). The lack of financial resources, inappropriate political measures and the coronavirus pandemic were also the causes of this challenge. Most participants cited environmental and educational deficits as the main reason for not separating waste. It is possible to improve waste sorting behaviour at source through appropriate behavioural interventions at the individual, social and environmental levels. Researchers can use the results of this study to design, implement and evaluate waste segregation intervention programmes for housewives.

Investigating recycling decisions of internet recyclers: A step towards zero waste economy

Online recycling has been recognized as an efficient method for waste recycling. This paper focuses on the information asymmetry between an internet recycler and consumers in the online transaction of used products. This paper is to find an optimal strategy for the internet recycler when the consumers would make an adverse selection in submitting the classification results (the used products would be classified into two kinds according to the quality: High quality and Low quality) of used products in online orders to avoid the loss because of internet recycler's moral hazard, which might bring the extra cost for internet recycler. Therefore, this study used game theory to establish a Stackelberg game model for analyzing an internet recycler and consumers' decision-making in the online transaction of used products. Based on the analysis of consumers' behaviors in an online transaction, internet recycler's strategies are divided into two kinds: A, high moral hazard strategy, and B, low moral hazard strategy. It is found that the strategy of low moral hazard is optimal for the internet recycler compared to the strategy of high moral hazard. Further, though strategy B is optimal, the internet recyclers is suggested to increase their moral hazard probability when the H used products are increasing (High-quality ones). Besides, for strategy B, the correction cost for wrong H orders and correction benefit from correction of wrong L orders would decrease the optimal moral hazard probability, and the impact of the correction benefit from correction of wrong L orders on the decision of moral hazard probability is more obvious.