Analysis Of Imbodied Carbon Productivity Difference And Dynamic Evolution In China’s Industrial Sector

Climate change caused by human activities has seriously affected the construction of global ecological civilization and the sustainable development of mankind,and all countries have worked together to promote greenhouse gas emission reduction.In the process of pursuing green and high-quality development,improving carbon productivity has become a necessary way to achieve the sustainable development of China’s economy.Industrial sector is an important engine of China’s social and economic development,but also the leading sector of energy consumption and the main source of carbon emissions.Therefore,how to realize the development of low-carbon economy in the industrial sector has become the leading path of China’s high-quality social and economic development at present and in the future.Therefore,science measure the real level of carbon productivity,analyze whether there are differences between different industries,and explore the dynamic evolution of industry implied carbon productivity,explore the evolution of industry implied carbon productivity,will help to fully understand the industry sector of low carbon economic development level,and for our country finish "double carbon" goal and achieve high quality economic development to provide data support and objective basis.In this context,this paper focuses on the Imbodied carbon productivity,using the input-output method and the super-efficiency SBM model to measure the Imbodied carbon productivity of industrial sectors.We then analyze the industry differences in Imbodied carbon productivity and the reasons for these differences using the Dagum Gini coefficient based on factor intensity.We also utilize kernel density estimation and Markov chain to analyze the convergence characteristics and dynamic evolution trends of implicit carbon productivity as a whole.Finally,we use the Order Logit model to analyze the reasons for the evolution of implicit carbon productivity in the industrial sector.Based on the systematic research,the following conclusions can be drawn:(1)China’s industrial sector implicit carbon productivity shows the feature of "overall improvement of implicit carbon productivity and shrinking absolute differences".From the measurement results,the implicit carbon productivity of China’s industrial sectors presents an overall upward trend,but there are significant differences between different industrial sectors.The difference in implicit carbon productivity among industrial sectors mainly comes from the differences between different types of industries,with an average contribution rate of 50.51%.(2)There is an obvious convergence feature in the implicit carbon productivity of industrial sectors,and there is a significant "self-locking effect" between industries.Kernel density estimation and Markov chain show that the fluidity of implicit carbon productivity in China’s industrial sectors is low,the probability of transition between different types of industries is small,and there is a significant self-locking effect on carbon productivity.Moreover,the state transition mostly occurs between adjacent levels of industrial types.(3)Factors such as industrial scale and technological progress have different effects on the transfer of implicit carbon productivity among industrial sectors at different development levels.When the implicit carbon productivity is at a low level,the industrial scale,industrial structure,and endowment structure inhibit its evolution.When the implicit carbon productivity is at a relatively low level,technological progress,environmental regulation,scale,and backward linkages promote its transfer.However,for high-level industries,factors such as foreign investment,industrial structure,and endowment structure will inhibit its transfer,while energy structure will have a promoting effect.