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Evolutionary Game And Policy Simulation Of Take-out Waste Recycling Governance

Posted on:2020-12-01Degree:MasterType:Thesis
Country:ChinaCandidate:J H YangFull Text:PDF
GTID:2381330596477395Subject:Industrial Economics
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With the introduction of the "Internet +" concept and the accelerated pace of life,take-away has become a new form of economic development,the take-away industry has flourished.The market size and the number of consumers have continued to expand,and the accumulation of take-away waste has become increasingly serious.How to solve the ecological,resource and health problems caused by the improper disposal of take-away waste,and realize the recycling of resources has become an urgent issue to be solved.In order to solve a series of problems caused by takeaway waste,it is necessary to build a waste recycling system suitable for the current national conditions,and to build a planned and efficient waste recycling industrial chain.Based on the route of ‘proposed problem-theoretical research-quality researchgame analysis-simulation research-solving problem',this study takes the waste recycling management as the research object.The basic theories such as economics and behavioral science are comprehensively used,and the research methods such as rooted theory,evolutionary game and simulation are used to study from different aspects of influencing factors,driving factors and policy simulation.Firstly,this study uses the classical grounded theory to sort out the influencing factors on the participation of government,consumers and enterprises.The main influencing factors are determined through three-level coding,and the model of ‘influencing factors and evolution mechanism of take-away waste recycling' is constructed.Secondly,explore whether consumers and enterprises can effectively solve the problem of take-away waste under market conditions.Construct the two-party evolutionary game model of consumer-enterprise,analyze the system stability strategy,use Matlab R2014 a software for simulation analysis,and display the evolution path and main driving factors intuitively.Thirdly,relying on the power of market regulation alone cannot effectively solve the problem of waste recycling,and it requires government regulation.A tripartite game model is built to analyze the stability of the system,and the results were simulated to explore the mechanism of policy action,to provide a theoretical basis for the government to formulate effective policies.Finally,the main research conclusions of this study are summarized,the policy recommendations are put forward accordingly,and the deficiencies and future research directions of this study are pointed out.The main conclusions of this study are as follows:(1)External synergies,internal synergies and situational factors are the main factors affecting the management of industrial chains.External synergy factors refer to the main categories of external conditions,including five sub-categories: technical support,recycling procedures,infrastructure,operability and financial support.The internal coordination factors refer to the internal driving main categories,including voluntary,effect perception,thought consensus,cost-benefit and hysteresis.The situational factors are mainly composed of three main categories: policy environment,social environment and market atmosphere.The main areas of policy environment include incentive and punishment,policy implementation,local regulation and supervision cost.The social environment includes two sub-categories of social public opinion,publicity and education.The market atmosphere includes two sub-categories of recycling chain stability and market regulation capabilities.(2)Under market conditions,consumers and enterprises cannot effectively solve the waste problem.Consumers and enterprises bear important responsibilities as the mainstay of solving waste problems.However,under the market operation mechanism,consumers and enterprises alone cannot effectively solve the waste problem.Specifically,when the initial proportion of consumers adopt the environmental protection treatment method and enterprises participate in the construction of recycling chain is low,the system will finally evolves into the behavioral strategy of ‘consumers choose the general treatment method and enterprises do no participate in the construction of recycling chain'.Parameter value will affect the speed of evolution.When the benefit of the two choose inactive method(consumers choose the general treatment method and enterprise choose not participate in the construction of recycling chain)increasing,the system slowly evolves into a stable strategy,and vice versa,it quickly evolves to a stable strategy.Similarly,the cost of the two choose active method(consumers choose the environmental protection treatment method and enterprises choose participate in the construction of recycling chain)increasing,the system slowly evolves into a stable strategy,and vice versa,it quickly evolves to a stable strategy.When the benefit of the two choose active method,the cost of the two choose inactive method and the indirect benefit increasing,the system quickly evolves to a stable strategy,and vice versa,slowly evolves to a stable strategy.(3)When there is government regulation,the evolution speed is accelerated and the system quickly evolves to a stable strategy.The penalty for enterprises not involved in the construction of the recycling industry chain,and the subsidies for consumers and enterprises that choose active treatment methods increasing,the system will quickly evolves to the strategy of {the government does not regulate,consumers choose environmental protection methods,and enterprises participate in the construction of the recycling chain}.If the cost of government regulation is larger,the government will quickly evolve into a non-regulatory strategy,and consumers and enterprises will slowly evolve into a stable strategy.If the government governance cost is large,the government strategy choice experience ‘regulation to non-regulation',and consumers and enterprises will quickly evolve into a stable strategy.
Keywords/Search Tags:takeout waste, industry chain in circular economy, evolutionary game theory, simulation
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