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Study On Mechanism And Simulation Of Low Carbon Production Behavior Of Bf In Iron And Steel Enterprises

Posted on:2022-11-10Degree:MasterType:Thesis
Country:ChinaCandidate:J Y ZhouFull Text:PDF
GTID:2481306743473334Subject:Industrial Engineering
Abstract/Summary:PDF Full Text Request
With the globalization of environmental crisis and greenhouse effect and other issues highlighted,the gradual realization of low-carbon production has not only become an important concept of sustainable economic development,but also an important strategic direction of China at present.As the pillar of China's industrial sector system,iron and steel industry not only provides the basis for China's industrial development,but also plays an important role in China's low-carbon strategy.Therefore,under the background of low carbon production and sustainable economic development,guiding steel enterprises to equip CCS system and implement low carbon production has become a hot issue of continuous concern in academia and industry.Taking the long blast furnace process of iron and steel enterprises as an example,this study explores the factors influencing the deployment of CCS technology and the realization of low carbon production in the long blast furnace iron and steel enterprises,and classifies them into economic factors and institutional factors,and respectively explores the internal driving mechanism under these two categories.On this basis,the two driving mechanisms are integrated,and the policy simulation of low carbon production in iron and steel enterprises is conducted.In this study,the influencing factors,driving mechanism,policy adjustment and other aspects are gradually in-depth,which provides a certain reference value for the innovation of internal management mode of enterprises and the basis for the introduction of government policies.In terms of research ideas,the framework of driving mechanism of enterprise lowcarbon production is constructed based on enterprise behavior theory and planned cost theory.Based on the dynamic game characteristics of economic factors,this paper uses evolutionary game to explore the mechanism of policy orientation and enterprise behavior selection from the perspective of government-enterprise game.Based on the subjectivity and complexity of institutional factors,the internal mechanism and guidance path of low carbon production in enterprises are explored by structural equation model through qualitative interviews with leaders and employees.Finally,system dynamics simulation is used to combine economic factors and institutional factors,and comparative experiments and sensitivity analysis experiments are conducted to explore the influence of different influencing factors on the implementation effect of low-carbon production in enterprises.On this basis,guidance policies and internal reform proposals are put forward to achieve low-carbon production in iron and steel enterprises.This study mainly draws the following conclusions and suggestions :(1)At the economic level,whether iron and steel enterprises implement low-carbon production will depend on the guiding policies of the government.It is necessary for the government to increase the number of subsidies while appropriately increasing the penalties for enterprises that refuse to implement low-carbon production.(2)At the institutional level,the willingness of low-carbon production is the key factor affecting the behavior of low-carbon production,and the behavior and attitude of the leadership is the key factor affecting the willingness of low-carbon production.Increasing the study and training of leading cadres of iron and steel enterprises is conducive to the formation of the institutional basis of low-carbon production in the enterprise.(3)The impact of economic environment on enterprises' low-carbon production will be higher than that of institutional environment,so it is necessary for policy design to favor economic subsidies and appropriate supervision.
Keywords/Search Tags:Low Carbon Production, Evolutionary Game, Structural Equation Modeling, System Dynamics
PDF Full Text Request
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