Current Situation Analysis Of China's Industrial Structure And Its Optimum Research Under Low Carbon Constraints

The frequent occurrence of extreme weather has made the issue of climate warming the focus of attention of all countries.The main culprit of climate warming is excessive carbon dioxide emitted by human beings when they abuse fossil energy.As the largest carbon emitter in the world,China is under tremendous pressure from the international community to reduce carbon emissions.It is urgent to reduce carbon emissions.From the signing of the United Nations Framework Convention on Climate Change in 1992 to the adoption of the Paris Agreement in 2015,the Chinese government has been supporting and participating in global carbon emission reduction actions.Green and peaceful development is a healthy development path explored by the international community including China.It is of great significance to study how to reduce carbon dioxide emissions from the perspective of mathematical models.The first part of this paper is based on the classical STIRPAT model,this paper introduces scale,technology and structural factors,and uses principal component regression to study the main influencing factors of carbon dioxide emissions from energy consumption in China.The results show that scale,technology and structural factors all have a positive impact on carbon emissions.Among them,the industrial structure,industrial energy intensity and energy consumption indicators have a significant impact on carbon emissions.That is,for every 1% increase in industrial structure,industrial energy intensity and energy consumption,carbon emissions will increase by 1.3797%,0.7386% and 0.4590%,respectively.Therefore,optimizing the industrial structure,reducing energy consumption and industrial energy intensity are the key to achieve the goal of carbon emission reduction.The second part studies the impact of energy consumption on carbon dioxide emissions from the industrial perspective by using grey correlation analysis.The results show that industrial energy consumption has a significant impact on carbon dioxide emissions.Among them,petroleum processing,coking and nuclear fuel processing industries have the greatest impact on carbon emissions.Coal contributes most to carbon emissions in fossil energy.In addition,different fossil energy consum-tion has different impacts on carbon emissions in industrial sectors.Coal,coke and crude oil have the greatest impact on carbon emissions in power,thermal production and supply,metal smelting and rolling processing,petroleum processing,coking and nuclear fuel processing industries,respectively.Clarifying the energy consumption preferences of the industrial sector is conducive to the adjustment of the energy consumption structure of the industrial sector.In the third part,from the perspective of added value,a bi-objective linear programming model is constructed to optimize China's industrial structure in order to achieve the goal of carbon emission reduction.The results show that the average annual change rate of industrial added value exceeds 7.8%,that is,the average annual growth rate exceeds 6.93%,the goal of carbon emission reduction can be achieved.Specific to the industrial sector,it is necessary to restrict the rapid development of dual-high sectors such as petroleum processing,coking and nuclear fuel processing industries,and to promote and encourage the sustainable development of the dual-low sectors such as metal mining and dressing industries.At the same time,the government needs to promote the use of clean energy,promote carbon emissions trading and the green industrial development;enterprises should establish the concept of green development and promote the development of circular economy.