Willingness to participate in take-out packaging waste recycling: Relationship among effort level, advertising effect, subsidy and penalty

Carbon reduction behavior of waste power battery recycling enterprises considering learning effects

The carbon reduction behavior of waste power battery recycling (WPBR) enterprises is essential for promoting resource conservation and environmental protection. Introducing the learning effects of carbon reduction research and development (R&D) investment, this study constructs an evolutionary game model between local governments and WPBR enterprises to study the behavior choice of carbon reduction. The paper explores the evolutionary process and factors affecting carbon reduction behavior choices of WPBR enterprises from internal R&D motivation and external regulation perspectives. The critical results reveal that the existence of learning effects significantly reduces the probability of environmental regulation by local governments while effectively increasing the probability of WPBR enterprises implementing carbon reduction. The learning rate index positively correlates with the likelihood of enterprises implementing carbon emissions reduction. In addition, carbon reduction subsidies considerably maintain considerably negative relation with the probability of enterprise carbon reduction behavior. The following conclusions are drawn: (1) The learning effect of carbon reduction R&D investment is the intrinsic driving force for WPBR enterprises' carbon reduction behavior, which can promote enterprises to proactively implement carbon reduction under fewer constraints of government environmental regulation; (2) Pollution fines and carbon trade prices in environmental regulation can promote enterprises carbon reduction, while carbon reduction subsidies inhibit their reduction behavior; (3) There exists an evolutionarily stable strategy between government-enterprise game only under the dynamic mechanism. The research provides insights for decision-making on enterprises' carbon reduction R&D investment and local government environmental regulation policy under carbon reduction targets.

The Supervision Mechanism of Residents' Waste Separation Behavior: Analysis Using a Tripartite Evolutionary Game Model

To promote residents' waste separation behavior, waste separation supervision has been a crucial need. This paper aims to explore the supervision mechanism of residents' waste separation behavior using a tripartite evolutionary game model. The evolutionary stability conditions of resident, property service enterprise, and the government were analyzed. The influences of the main parameters on the strategy of three stakeholders were explored through numerical simulation. The results show that the regulatory mechanism of waste separation will reach the optimal stable strategy when the following conditions are satisfied: (1) the penalty for nonclassification is higher than the difference between classification cost and the total benefit of classification; (2) the subsidy to property services enterprise is greater than the total cost of positive participation management. Residents' behaviors are mainly influenced by rewards and punishments. The behavioral strategies of property service companies are more sensitive to subsidies than penalties. In the early stage of mandatory waste separation, it is important to reduce the cost of residents' separation, develop the publics' environmental awareness, and increase the willingness of properties to participate in management. This paper presents a new perspective and theoretical guidelines for the local government and communities to supervise residents' waste separation behaviors in China and other developing countries and offers useful insights into waste separation management for other countries.

Genetic Relationship and Evolution Analysis among Malus Mill Plant Populations Based on SCoT Molecular Markers

Malus Mill genotype is highly heterozygous, and many theoretical problems such as genetic relationship and evolution process among germplasm are difficult to be solved by traditional analysis methods. The development of SCoT(start codon targeted polymorphism) molecular markers suitable for apples is of great significance for studying the origin, evolution, genetic relationship and genetic diversity of Malus Mill germplasm resources. In this paper, the genetic relationship and evolution of 15 materials were analyzed by SCoT molecular marker. The results showed that the gene differentiation coefficient values of four Malus Mill plants at the species level were 0.423, 0.439, 0.428 and 0.460, respectively, which indicated that there was obvious genetic differentiation among the populations of these four Malus Mill plants, but there were some differences among the populations of different Malus Mill plants. The gene differentiation coefficient of coextensive populations with different geographical distribution varied from 0.177 to 0.086 (average 0.138), which indicated that the genetic similarity of species in coextensive composite populations was high and there was a close genetic relationship among species. This indicates that SCoT molecular markers can be effectively used in the analysis of intraspecific genetic relationship and identification of intraspecific strains of Malus Mill plants.

Identifying what shapes the words and actions of residents' environmentally friendly express packaging: Evidence from a two-stage payment model

Voluntary purchase of environmentally friendly products is crucial to alleviating ecological degradation caused by human activities that revealing residents' payment decision-making mechanism is indispensable. Most current studies do not distinguish residents' payment decision-making behavior as a two-stage process of willingness to pay (WTP) and expected payment (EP), and research on negative factors needs to be deepened. To make up for the shortcomings, this study decomposes residents' environmentally friendly express packaging payment decision-making behavior into WTP and EP, and selects positive and negative antecedent variables. Then, the Double-Hurdle Model is used to explore the effects of variables. The results show that residents' EP is 2.68-3.89 RMB per item. Performance expectancy has a positive effect, and risk perception has a negative effect on WTP and EP. Additionally, influencing factors of WTP and EP differ, with facilitating conditions enhancing WTP, while social influence and green advertising acceptance promoting EP. Interestingly, effort expectancy has a positive impact on WTP but a negative effect on EP. Female residents with higher education and family monthly income have higher WTP and EP. The research shed light on residents' payment and recommendations on the promotion of environmentally friendly products are further proposed.

Investigating the influencing factors of incentive-based household waste recycling using structural equation modelling

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.

Decision-making dynamic evolution among groups regarding express packaging waste recycling under different reference dependence and information policy

The reveal of express packaging waste recycling behavior evolution trend is crucial to waste management. Current models are mostly based on the classic expected utility theory, without considering groups are susceptible to internal and external factors. To address this drawback, we construct an evolutionary game model of express packaging waste recycling behavior by considering information policy and reference dependence factors to explore groups' decision-making with different initial adoption rates. A system dynamics simulation model based on survey data is then built, and simulation experiments are also designed to reveal the impacts of key factors on the evolution path of recycling behavior. The results show that, without information policy, groups cyclically oscillate around the initial state. The stable trend depends on the information intensity, and the information effect is marginal diminishing. Groups with a lower initial adoption rate will evolve to an ideal stable strategy only when information intensity exceeds the threshold of ten. Reference points can change behavior strategies and are characterized by significant loss aversion. The benefits and costs affect groups' adoption or rejection behaviors. These findings can provide new ideas for related research and offer a reference for the government to formulate efficient waste management policies.

Simulating the Effect of Mixed Subsidy Policies on Urban Low-Value Recyclable Waste in China: A System Dynamics Approach

Low-value recyclable waste accounts for a large portion of urban waste output in many modern cities. The improper management and disposal of LVRW result in environmental pollution and a waste of resources. Given the characteristics of a high recovery cost and low recovery income of low-value recyclables, it is difficult to obtain a satisfactory waste disposal effect by completely relying on the market mechanism. It is thus necessary for the government to implement effective subsidies for multiple subjects in the urban waste recycling system (UWRS). This study examines the independent roles of four subsidy policies-subsidy to the third-party waste disposal institutions, subsidy to a state-owned waste disposal institution, R&D subsidy for green technology, and subsidy for government publicity-and develops a system dynamics model to verify the performance of the UWRS under different combinations of subsidy-based policies under multiple scenarios. Data on urban waste disposal for Guangzhou from 2019 and 2020 were used to validate and simulate the model. A sensitivity analysis of the main exogenous variables was carried out, and the conclusions are as follows: (1) On the premise of a fixed subsidy capital pool, a mixed subsidy policy produced the best impact on the UWRS. (2) The total subsidy needed to reach a certain threshold; otherwise, the mixed subsidy policy did not improve the UWRS. The total subsidy produced diminishing returns once it had exceeded the threshold. (3) Appropriately reducing subsidies for the third-party waste disposal institutions within a reasonable range does not affect the performance of the UWRS. (4) The effect of government publicity has short-term advantages, while the long-term potential of green technology is greater. Multi-agent coordination and the guidance of the market mechanism are important priorities in the design of subsidy-based policies. In addition, the trade-off between subjects needs attention, and a plan for mixed subsidy policies needs to be designed and implemented according to the response periods of different policies. The research here provides theoretical support for the government for designing subsidy-based policies.