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Study On Multi-Agent Adaptation Equilibrium Of Waste Classification Management

Posted on:2024-03-05Degree:MasterType:Thesis
Country:ChinaCandidate:Y Y XiangFull Text:PDF
GTID:2531307052488534Subject:Technical Economics and Management
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With the continuous development of the social and economic level and the growth of the urban population,the production of urban domestic waste has increased rapidly,and the problem of domestic waste disposal needs to be solved urgently.To this end,the General Office of the State Council forwarded the Implementation Plan of the Domestic Waste Classification System in 2017,and the domestic waste classification work gradually rose to “policy provisions”.However,garbage classification is a complex and systematic project,which requires the government to play an overall leading role,as well as the close cooperation and active participation of implementing agencies and the public.Multi-agent behavior adaptation and collaborative governance is an important means to break the fragmentation of garbage treatment,build a participatory governance system and improve the efficiency of policy implementation.The research on the interaction between the government and the public in the process of waste classification and treatment will help to improve the cooperation of all parties and promote the benign interaction and continuous cooperation of various parties.In addition,it is of practical significance to study whether the interactive actions of multiple actors in waste classification and treatment can also help the realization of the goal of waste reduction and harmless treatment at the urban level,for the multi-goal vision of systematic collaborative waste treatment.In view of this,this paper takes Mc Laughlin’s interactive model as the theoretical perspective,combines the practice of urban waste classification and treatment in China,and uses the evolutionary game theory to build a three-party evolutionary game model for policy makers,policy executors and residents.By combining the prospect theory and setting dynamic parameters,the selection and interaction of the behavior strategies of the three parties are analyzed,and the behavior of the agents under different parameter values is depicted by Matlab simulation,which more intuitively reflects the evolution process of the agent strategy selection.The research shows that(1)under certain conditions,the three parties have longterm cooperation to jointly implement the garbage classification policy.(2)As far as residents are concerned,the rewards and punishment of policy executors and the rewards and subsidies of policy makers will promote their waste classification,and the simultaneous use of multiple policy tools can accelerate the evolution process of residents’ choice of waste classification more than a single measure.(3)For policy executors,the choice of their behavior strategies mainly depends on the assessment strength of policy makers and the administrative costs required to adhere to the wholeprocess governance.(4)Policy makers’ strategic choices are affected by the formulation cost of rationalization policies,the cost of policy publicity,the cost of supervision and assessment,and the possible loss of credibility when choosing non-rationalization policies.In view of the above conclusions,this paper puts forward the following policy recommendations to promote waste classification and treatment:(1)Policy makers should continuously improve the suitability and scientificity of policies.(2)Appropriately improve the assessment and supervision of the executive.(3)Strengthen the propaganda and education of garbage classification to create a good social atmosphere.(4)Broaden the funding channel and relieve the financial pressure of policy executors.(5)Further improve the reward and punishment mechanism for household waste classification.
Keywords/Search Tags:garbage classification, evolutionary game, simulation analysis, multi-agent adaptation
PDF Full Text Request
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