| Global warming has become a matter of close concern,and greenhouse gas emissions,mainly carbon dioxide emissions,are the main cause of global warming.Since the reform and opening up,China’s economy has witnessed rapid growth and become the world’s second largest economy.However,the economic growth model with high pollution and high emissions and the unreasonable industrial structure and energy structure have led to high domestic carbon emissions.Since 2006,China has become the world’s largest carbon emitter.In order to actively respond to global carbon neutrality,China has set a dual-carbon target in 2020,namely,achieving a carbon peak by 2030 and achieving carbon neutrality by 2060.In March 2021,the Outline of the Fourteenth Five-Year Plan for National Economic and Social Development of the People’s Republic of China and 2035 Vision mentioned "to implement the 2030 and formulate the action plan for carbon emissions before 2030",the 20 th report of the Party proposes to "have a deep understanding of the significance of promoting carbon neutrality and promoting the key tasks of carbon neutrality".A large number of studies show that industrial structure is an important factor affecting carbon emissions.In the context of China’s vigorously advocating low-carbon economy,the optimization of industrial structure has become the main breakthrough to balance economic growth and environmental problems,which is of great significance to the realization of carbon emission reduction targets.This paper summarizes the relevant literature at home and abroad on industrial structure and carbon emissions,Introduce the theoretical research and influence mechanism of industrial structure and carbon emissions,And analyze the evolution of China’s industrial structure by industry and region,the current situation of industrial structure optimization,energy consumption and carbon emission status;To further look for major industries with heavy carbon emissions,This article divides the industry into seven major sectors,Combined with the analysis of total carbon emission and carbon emission intensity data,we conclude that the industrial sector is a heavy proportion of carbon emissions in China,Then further analysis concluded that manufacturing carbon emissions accounted for 67.5% of industrial carbon emissions,Become a major industrial carbon emitter,And divided into 15 high-carbon industries based on carbon intensity,5medium-carbon industries and 11 low-carbon industries.Considering the possible spatial correlation between carbon emission intensity and industrial structure in all provinces and cities in China,This paper uses the national data of 30 provinces and cities from 2000 to 2020(excluding Tibet),Using carbon intensity as an index,The optimization of industrial structure is subdivided into the rationalization and upgrading of industrial structure,Building a spatial panel model by combining control variables such as economic level,science and technology investment,government expenditure and trade openness,It is concluded that improving the rationalization and upgrading of industrial structure can reduce the carbon emission intensity of the region,And the improvement of the advanced industrial structure in the surrounding areas will reduce the carbon emission intensity of the region,Comprehensive analysis of the advanced industrial structure has a stronger spatial spillover effect than the rationalization of industrial structure.Finally,according to the empirical analysis results,this paper puts forward targeted policy suggestions,combined with the current situation of the local industrial structure and the national carbon emission reduction target,accelerate the optimization and adjustment of the industrial structure,promote the transformation and upgrading of the traditional industries,promote the energy law,improve the energy system,increase the proportion of clean energy;optimize the low-carbon policy,improve the carbon emission accounting supervision system;and implement the differentiated industrial policies according to local conditions according to the resource endowment and carbon emission status of each region. |
