The Calculation Of The Implied CO₂ Flow Of Trade Between Countries Based On The World Input-output Model

With the increase of inter-country trade,the issue of CO2 emission and transfer in the process of inter-country trade of goods and services is becoming more and more prominent,which has become a hot field of academic research.Based on the world input-output model,this paper calculates the different index values of the trade implied CO2 emissions of countries（or regions）in the world,so as to analyze the change of trade implied CO2 emissions structure.According to the net flow matrix of implied CO2 in inter-country trade calculated based on the world input-output model,and with the help of social network theory and community discovery algorithm,the change of implied CO2flow in world trade is deeply analyzed.Based on Eora database and world input-output model,different index values of the trade implied CO2 emissions of countries（or regions）in 2000,2005,2010 and 2015 were calculated to analyze the change of the trade implied CO2 emission structure around the world.In the study years,the domestic demand of China and India led to the continuous increase of CO2 emissions,the trade import led to the CO2 emissions,and the trade export led to the continuous increase of CO2 emissions.The domestic demand of the United States,Germany and Japan led to the decrease of CO2 emissions,but the export led to the increase of CO2 emissions and the import goods implied the increase of CO2 emissions.In general,China and the United States are respectively the countries（or regions）with the largest net CO₂ outflow and net inflow in inter-country trade.In addition,the net flow matrix of implied CO2 in inter-country trade calculated based on the world input-output model is the basis for exploring the change of implied CO2 flow in world trade.The in-depth analysis of the implied CO₂ flow change in world trade is difficult to be realized by traditional data analysis methods such as tables,so the social network analysis method is used to dig into the characteristics of the calculated flow matrix.Taking 189countries（or regions）in Eora database as nodes,net CO2 inflow as the pointing edge and net CO2 flow momentum as the network weight,the implicit net CO2 flow network of inter-country trade was constructed and analyzed in depth.In the study years,the coverage and control intensity of China,India and other countries in the net flow network of implied CO₂ in world trade increased continuously,while the coverage and control intensity of Russia,Ukraine and other countries in the network decreased continuously.Inter-country trade implies ever closer net flows of CO₂.The community discovery algorithm is used to further explore the characteristics of the implicit net flow matrix of CO2 in inter-country trade.It is found that the communities composed of China and the United States have the widest coverage in the net flow network of implied CO₂ in inter-country trade,covering North America,Europe,South America,Africa and five continents in Asia,and have a deepening impact on the world’s implied CO₂ emissions.The communities formed by Russia and other European countries mainly cover Europe,and their impact on the world’s implicit CO₂ emissions is gradually reduced.According to the results of community division,the paper proposes to assign different CO₂ emission reduction tasks according to the community.The CO₂ emission reduction task is reduced in order according to the community ranking,and the node countries belonging to the same community are restricted by the CO₂ emission reduction task of the community,which provides a new idea for the international environmental protection organizations to reduce CO₂ emissions worldwide.