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Constraints Of China’s E-waste Recycling System And Policy Simulation Study

Posted on:2023-10-29Degree:DoctorType:Dissertation
Country:ChinaCandidate:S LiangFull Text:PDF
GTID:1528307334472394Subject:Management Science and Engineering
Abstract/Summary:
The implementation of effective post-consumer stage of electronic products unified recycling and safe disposal is an important issue related to economic,social and environmental sustainable development.China’s current e-waste recycling system in theoretical research and legislative practice has made useful attempts,but also highlights some problems.Theoretically,the research on the e-waste recycling system is unbalanced,with more research on processors and consumers and less research on recyclers and producers;mathematical models are used to examine the effectiveness of the government’s regulatory measures through the evolutionary game among the relevant subjects in the system,ignoring the competition within the subjects and the process of mutual learning and adaptation and dynamic interaction among the subjects on the effectiveness of the policy;the policy and legislative practice of the e-waste recycling system has also revealed some problems.In the policy and legislative practice,the existing constraint policy and incentive policy only target some subjects in the system without considering other subjects,and the management effect is not obvious;the participation of producers in e-waste recycling is very limited,while the scale and industrial development of formal processing enterprises in the actual operation of the recycling volume is insufficient,"no rice for cooking " bottleneck constraints.Based on the theory of complex system adaptation and other theories,this dissertation explores a policy framework and regulation level that can promote the development of WEEE recycling and treatment system to an ideal symbiotic state from multiple objectives such as environmental sustainability and rational use of resources,and on the basis of fully considering the micro-constraint mechanisms of each subject of e-waste recycling system.The main research contents include the following aspects.First,the behavioral constraints of consumer subjects,their mechanisms of action,and their empirical tests and simulations.In Chapter 3 of the dissertation,an integrated framework for the study of constraints on consumer participation in e-waste recycling behavior is modeled based on the theory of planned behavior;based on 1754 valid data obtained from a questionnaire survey of Changsha residents,the paths and effects of different factors on consumer participation in e-waste recycling behavior are empirically tested using principal component analysis and structural equation modeling methods.The results indicated that there is a strong positive influence effect between policy-oriented behavior orientation and behavior;consumers’ increased awareness of environmental protection has a strong dependence on the reference group;meanwhile,consumers’ occurrence of recycling behavior is more inclined to choose socially relevant benefits,hoping that their environmental behavior will be beneficial to the environment;and the convenience of recycling facilities has a strong positive influence on consumers’ specific recycling behavior.Chapter 6 of the dissertation defines the goals,attributes,behaviors,decision rules,and interaction rules of rational,partially rational,and irrational consumers,respectively,based on the descriptive findings of the empirical study,and constructs a behavioral model framework for consumer subjects.Chapter 7 of the dissertation is based on the empirical findings in Chapter 3 and further condensed into two categories of three consumer-related policies,namely,"levy on producers and subsidy on consumers","levy on recycling vendors and subsidy on consumers",and the policies of "deposit from consumers and subsidy to processors" are used as policy inputs to the simulation system to examine the performance of the system.Second,the behavioral constraints of producer subjects,their mechanism of action,and their simulation.In Chapter 4 of the thesis,the constraints of electronic product producers in performing the function of recycling e-waste are analyzed,and19 influencing factors are revealed from five dimensions: internal,upstream and downstream enterprises,consumers,competitors and government agencies;the GREY-DEMATEL method is used to determine the causal links and influence paths among the factors;finally,the cause results are categorized according to the causality and criticality.From the 19 constraints on producers’ participation in e-waste recycling,6 critical factors were identified,namely,"no government incentives for recycling","upstream supplier companies provide recycled raw materials","government agencies have not established a market for trading recycled raw materials," "consumer awareness of hazards," "the extent to which activities such as recycling network establishment are valued and supported by managers," and "executives’ awareness of the competitive advantages of closed-loop supply chains and their commitment to environmental protection." In particular,"no government incentives for producers to recycle" and "no government market for recycled raw materials" are of particular concern,as they have a causal effect on the other factors in the system.Chapter 6 defines producers’ goals,attributes,behaviors,decision rules and interaction rules,and constructs a model framework for producers’ behavior.Based on the empirical results,Chapter 7 of the dissertation further condenses two policies concerning producers,namely "levy on producers and subsidize formal processors" and "levy on producers and subsidize consumers",as policy inputs to the simulation system to examine The performance of the system is examined.Third,the behavioral constraints of formal handler subjects,their mechanism of action,and their simulation.In Chapter 5 of the dissertation,combining literature analysis and expert interviews,a total of 16 constraints affecting formal disposers’ participation in recycling are identified at five levels: government,upstream and downstream enterprises,consumers and the public,competitors,and within disposers,and the GREY-DEMATEL method is applied to analyze the relationships among the factors and further identify the key factors.The study found that "the cost of establishing an e-waste recycling network for processors," "insufficient government coercion and penalties for illegal recycling channels," "insufficient consumer awareness of recycling ","only a few enterprises that receive subsidies from the WEEE disposal fund establish recycling networks for recycling","lack of government incentives for processors to participate in recycling",and The six factors of "overall economic efficiency of processors" are the key factors,among which,the factor of"insufficient government compulsion and insufficient punishment for illegal recycling channels" needs special attention,which is a key factor in itself and has a It is a key factor in its own right and contributes to the other five key factors.Chapter 6 defines the goals,attributes,behaviors,decision rules,and interaction rules of formal recyclers,and constructs a behavioral model framework of formal recycler subjects.Chapter 7 of the dissertation further condenses three policies on recycling vendors based on the findings of the empirical study,namely,"levy on recycling vendors and subsidize formal processors","levy on recycling vendors and subsidize consumers",and "the policy input of the simulation system is used to examine the performance of the system.Fourth,policy recommendations for various types of actors.Based on the model framework established in the previous chapters,the seven types of policies condensed from the constraints of each subject are used as input items,the target of policy charges,the target of subsidies,and the strength of charges(subsidies)are used as policy variables,and the amount of formal recycling and total social benefits of the system are used as policy targets,and the five types of micro-actors,namely consumers,recycling vendors,formal recyclers,formal processors,and producers,are examined through simulation and mock-ups in terms of by comparing the evolution of the system under different policies,we explore how the government can promote the healthy and sustainable development of the system through "reasonable intervention".The results show that policy measures that target recycling vendors and provide subsidies to consumers are effective in the early stage of implementation,a combination of "deposit+technology" policies are more effective and stable in the long run.Based on the modeling approach of the subject,this dissertation takes into account the micro mechanisms of the e-waste recycling system and the complex adaptation characteristics of the enterprises,simulates the evolution of the recycling network,and explores how the government can promote the healthy and sustainable development of the system through "reasonable intervention" by comparing the evolution of the system under different policies.On this basis,this dissertation proposes management suggestions: in the short term,environmental protection fees should be collected from recyclers and subsidies should be provided to consumers;in the medium and long term,manufacturers should be the target of fees and subsidies should be provided to consumers;at the same time,it is necessary to adopt certain policy measures to stimulate the community to participate in the recycling and disposal of e-waste.In terms of theory,this dissertation constructs a multi-body framework and studies the incentive mechanism of e-waste recycling and disposal system through simulation,which enriches the research in this field;in terms of practice,it also gives scientific guidance for the government to establish and improve the incentive mechanism of e-waste recycling and disposal participating subjects,and improves the quality and effectiveness of government control.
Keywords/Search Tags:E-Waste, Waste electrical and electronic products, Constraining factors, Influencing mechanism, Agent-Based modeling
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