A Method to Visualize the Skeleton Industrial Structure with Input-Output Analysis and Its Application in China,Japan and USA

The paper established a double filtering method (DFM) to visualize the skeleton industrial structure (SIS) of one economy and find its evolution rule. Different with the previous researches, this method is from a new view of industrial conjunctions combined by leading sectors to depict the industrial structure. It was proved that the leading sector selected by DFM must be key sector selected by Hirschman-Rasmussen method. Applied DFM to input-output tables of China, Japan and USA and MFA to Japan, and USA, the results analysis showed that DFM could overtake the two main shortcomings of minimum flow analysis (MFA), scratch SIS of each economy with its own characteristics, visualize the general evolution rules of the industrial structure with crisscrossed conjunctions among leading sectors.

Government Investment and High-Quality Economic Development——Measurement and Analysis Based on Input-Output Method

Analysis of how government investment promotes economic development and employment is important for improving government’s decision-making and promoting high-quality economic development in western China.In this paper,the authors take Xinjiang as an example to conduct such an analysis.Firstly,based on the competitive input-output table of Xinjiang,the non-competitive input-output tables of 2007,2012 and 2015 are compiled in this paper.Secondly,the contribution of Xinjiang government investment,especially the major government investment projects,to the valueadded of Xinjiang,other provinces and cities in China and abroad are calculated.Thirdly,this paper uses the non-competitive input-output table to compile the sectoral employment vector,and uses the input-occupancy-output technique to measure how government investment promotes employment.The results show that Xinjiang government investment contributes the most to the value-added of Xinjiang and other provinces and cities,but less to foreign countries;the government investment create the most job opportunities in projects including transportation projects and livelihood projects etc.

Structural Decomposition Analysis of the Decline in China's CO_2 Emission Intensity 2005–2010

Here we utilize input-output tables for 2005 and 2010 to calculate the change in carbon dioxide emission intensity. Results show that total carbon dioxide emissions were 6.79 and 9.30 billion tons, and carbon dioxide emission intensity was 0.37 and 0.33 ton per thousand CNY in 2005 and 2010, respectively. Carbon dioxide emission intensity declined 11% over these five years. We used structural decomposition analysis modeling to measure the effect of four factors on this reduction in intensity. We found that the contribution values of energy structure, energy efficiency, economic growth mode and economic structure were -0.001, -0.102, 0.050, and 0.013 ton per thousand CNY, respectively. Changes in energy efficiency and energy structure are major factors promoting decreases in carbon dioxide emission intensity; the effect of the former is more distinct than the latter. Economic growth mode and economic structure are major factors that increase carbon dioxide emission intensity, whereby the effect of the former is more distinct than the latter.