We use a common decomposition method to separate factors related ((8a), which represents inhibitor Nilotinib aggregated changes in the direct energy intensities), the Leontief effect ((8b), which is change in intersector relationships), and infrastructure investment ((8c) which represents changes in infrastructure investment) [25�C27].Equation??(7)=et(I?At?1)?1Yt?1II?et?1(I?At?1)?1Yt?1II(8a)?+et?1(I?At)?1Yt?1II?et?1(I?At?1)?1Yt?1II(8b)?+et?1(I?At?1)?1YtII?et?1(I?At?1)?1Yt?1II(8c)?+��.(8d)2.3. Data InputThis paper aims to analyse the embodied energy use in physical infrastructure investment, including investment in transport services, communication, energy supply, and water management. In order to carry out a detailed analysis of the impact of physical infrastructure investment, there is a need to disaggregate investment by sector.
The datasets that will be used in our study are input-output tables, the Income and Expenditure Survey, and Investment Survey from the National Bureau of Statistics of China.Given the energy input-output model, we constructed hybrid unit energy input-output tables [14] based on monetary input-output tables published by the National Bureau of Statistics of China from 1992 to 2007. In hybrid unit energy input-output tables, the energy sectors’ products are presented both in physical units (e.g., tonnes of coal equivalent) and monetary terms, and the nonenergy sectors’ products are presented only in monetary terms. The data of energy sectors’ products are extracted from Chinese Energy Statistical Year books.
To calibrate the data of the input-output tables and energy statistics, we adjust the sector classification of the input-output tables. For more details about data calibration of hybrid unit energy input-output tables, refer to [28].3. Results and Discussion3.1. ResultsThe overall results of China’s embodied energy use in infrastructure investment are reported in Figures Figures22 and and3,3, in absolute term and percentage of China’s total energy use, respectively. China’s fast-increasing infrastructure investment, with annual growth rate 25% from 1992 to 2007, has led to accelerated requirements of energy. As shown in Figure 2, China’s embodied energy use in infrastructure investment increased from 78 million tons of standard coal in 1992 to 354 tons of standard coal in 2007.
The results also show that the embodied energy use in infrastructure investment has increased rapidly from 2002 to 2007. The embodied energy use in infrastructure investment growth from 2002 to 2007 was about 140 million tons of standard coal, which is more than the growth of embodied energy use in infrastructure GSK-3 investment from 1992 to 2002.Figure 2China’s embodied energy use in infrastructure investment in absolute term (million tons of standard coal).