Key factors influencing public awareness of household solid waste recycling in urban areas of China: A case study

Wang, Hui; Liu, Xiao; Wang, Ning; Zhang, Kun; Wang, Fengchuan; Zhang, Shuping; Wang, Renqing; Zheng, Peiming; Matsushita, Michinari

doi:10.1016/j.resconrec.2020.104813

Cited by 69 publications

(39 citation statements)

References 37 publications

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“…Nevertheless, there is a significant difference between the willingness of Chinese residents to classify MHW and the actual separation action [7]. The lack of cooperation and low participation of local residents is one of the reasons for the poor effect of the pilot [2,8]. Although these policies are mandatory, the final effect of these policies depends on the residents' consciousness of environmental protection.…”

Section: Introductionmentioning

confidence: 99%

Evolutionary Game Analysis on Behavioral Strategies of Government and Residents in Municipal Household Waste Separation

Zhang

Jian-hua

et al. 2021

Sustainability

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Municipal household waste (MHW) separation is a fundamental way to achieve waste reduction and a recycling economy. This study takes the positions of government and residents in MHW separation as the research object, and aims to explore the change process and influencing factors of their decision-making behavior, which is of great significance to attract residents to participate in MHW separation and establish an effective MHW separation mechanism to solve MHW pollution. This paper firstly establishes an evolutionary game model between government and residents in MHW separation; secondly, the payoff matrix of the system is determined, and the replication dynamic equations under different constraints are calculated to obtain the evolutionary stability strategy of the system, and the stability conditions are analyzed; Finally, through numerical simulation, the decision-making behavior of MHW separation and its influencing factors are studied, and the rationality of the model is verified. The results show that: (1) In the process of MHW separation, residents often choose not to separate without government regulation; (2) Environmental fee rates and government effort have great impacts on residents’ decision-making behavior; (3) The increase of penalty intensity can significantly drive residents to separate MHW; (4) The sensitivity of residents’ behavior decision to subsidy coefficient is the lowest among all the variables, and the incentive effect of increasing subsidy coefficient is not obvious. The research results can not only provide theoretical guidance for policy makers to develop waste management policies, but also provide valuable insights for local communities to guide residents’ MHW separation behavior.

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Section: Introductionmentioning

confidence: 99%

Evolutionary Game Analysis on Behavioral Strategies of Government and Residents in Municipal Household Waste Separation

Zhang

Jian-hua

et al. 2021

Sustainability

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“…Liu et al (2020) considered the effect of construction and demolition waste and its recycling when minimizing waste and protecting natural resources. Wang et al (2020) examined sustainable waste management for household solid waste to raise public awareness.…”

Section: Discussionmentioning

confidence: 99%

An integrated fuzzy sustainable supplier evaluation and selection framework for green supply chains in reverse logistics

Tavana

Shaabani

Santos‐Arteaga

et al. 2021

Environ Sci Pollut Res

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Green supply chain management considers the environmental effects of all activities related to the supply chain, from obtaining raw materials to the final delivery of finished goods. Selecting the right supplier is a critical decision in green supply chain management. We propose a fuzzy green supplier selection model for sustainable supply chains in reverse logistics. We define a novel hierarchical fuzzy best-worst method (HFBWM) to determine the importance weights of the green criteria and sub-criteria selected. The fuzzy extension of Shannon's entropy, a more complex evaluation method, is also used to determine the criteria weights, providing a reference comparison benchmark. Several hybrid models integrating both weighting techniques with fuzzy versions of complex proportional assessment (COPRAS), multi-objective optimization by ratio analysis plus the full multiplicative form (MULTIMOORA), and the technique for order of preference by similarity to ideal solution (TOPSIS) are designed to rank the suppliers based on their ability to recycle in reverse logistics. We aggregate these methods' ranking results through a consensus ranking model and illustrate the capacity of relatively simple methods such as fuzzy COPRAS and fuzzy MOORA to provide robust rankings highly correlated with those delivered by more complex techniques such as fuzzy MULTIMOORA. We also find that the ranking results obtained by these hybrid models are more consistent when HFBWM determines the weights. A case study in the asphalt manufacturing industry is presented to demonstrate the proposed methods' applicability and efficacy.

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“…This is different from the estimation that the higher the education, the higher the efficiency. Wang, et al, 2020 said that education only increases individual knowledge of waste management, but the level of participation and the habit of recycling waste for individual is still low. Education about the environment and waste recycling practices is still very low in Indonesia.…”

Section: Discussionmentioning

confidence: 99%

Waste Management Service in Indonesia Based on Stochastic Frontier Analysis

Luthfiani

Atmanti²

2021

trikonomika

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Waste management in the big cities of Indonesia is still become a complicated problem. This article aims to analyze the influence of socio-economic factors which consist of GRDP per capita, population density, gender ratio, the proportion of population productive age and education on the efficiency of waste management service (WMS) in provincial capitals in Indonesia. The method used was Stochastic Frontier Analysis (SFA). The resulted WMS efficiency from this study were 0.39. Based on that value, it means the efficiency of WMS are still low and the efficiency can be improved about 61%. It also can be concluded that all variables were significantly influenced the WMS efficiency, except gender ratio. Expected that the result of this study can be used by both central and local government to improve the WMS in Indonesia.

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Key factors influencing public awareness of household solid waste recycling in urban areas of China: A case study

Cited by 69 publications

References 37 publications

Evolutionary Game Analysis on Behavioral Strategies of Government and Residents in Municipal Household Waste Separation

Evolutionary Game Analysis on Behavioral Strategies of Government and Residents in Municipal Household Waste Separation

An integrated fuzzy sustainable supplier evaluation and selection framework for green supply chains in reverse logistics

Waste Management Service in Indonesia Based on Stochastic Frontier Analysis

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