Abstract
Since China's reform and opening, with the rapid development of the heavy manufacturing and high energy consumption industry, energy consumption also increases significantly. However, in the energy consumption process, out-dated technology lead to high energy consumption of the unit GDP and the environmental pollution, which have directly influenced the sustainable development of China's energy consumption, economy and society. In order to ensure China's energy consumption, economic and social sustainable development, we should put more technology into the energy consumption to realize the changes towards tech-intensive China's energy consumption and the goal of China's 11th Five-Year Plan that average energy consumption per unit GDP decline 20%. Therefore, on the basis of analyzing the actuality of China's energy consumption per unit GDP and technology advance, first the paper sums up 14 indexes which impact China's technology advance and sets up a comprehensive assessment system on China's technology advance; second it uses gray correlation analysis to select the key technology indexes which have an important impact on China's energy consumption constitution, and builds a multiple linear regression model for analyzing the connection between technology advance and China's energy consumption; Finally it uses GM (1.1) gray prediction model to select the optimum technology inputs decision-making which can realize the goal of China's 11th Five-Year Plan that average energy consumption per unit GDP decline 20%, in order to provide theoretical support for the relevant departments. (4 pages)
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