DocumentCode
120165
Title
Nonlinear Optimization Model Construction and Empirical Analysis of Complete Energy Intensity in Transportation Equipment Manufacturing Industry Based on Input and Output
Author
Gen Li ; Guangming Zhang ; Xiaofang Luo
Author_Institution
Sch. of Econ. & Manage., Jiangsu Univ. of Sci. & Technol., Zhenjiang, China
fYear
2014
fDate
4-6 July 2014
Firstpage
320
Lastpage
324
Abstract
To lower complete energy intensity of transportation equipment manufacturing industry (TEMI) is an important approach to reducing consumption and pollution. On the basis of decision variables of 18 industries´ final demands and minimum target of complete energy intensity, the paper constructs a nonlinear optimization model of complete energy intensity based on input and output. On the basis of the model, the paper designs three schemes and two scenarios. Results show that minimum value range of complete energy intensity of TEMI is 0.9307 to 1.0529 ton of coal equivalent/ten thousand yuan. Compared with 2010, the decline rate range is from 10.94% to 21.28%. Under scenario 2 of C scheme, it can realize the goal that complete energy intensity of TEMI decreases by 20% in 2015. To achieve this goal, China is supposed to promote the development of the shipbuilding industry, optimize the structure of the automobile manufacturing industry, heighten the investment and import coefficients, and lower the consumption and export coefficients.
Keywords
automobile industry; energy conservation; environmental economics; international trade; investment; machinery production industries; optimisation; pollution control; shipbuilding industry; automobile manufacturing industry; consumption reduction; energy intensity; export coefficients; import coefficients; investment; nonlinear optimization model construction; pollution reduction; shipbuilding industry; transportation equipment manufacturing industry; Automobiles; Energy consumption; Investment; Optimization; Shipbuilding industry;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Sciences and Optimization (CSO), 2014 Seventh International Joint Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4799-5371-4
Type
conf
DOI
10.1109/CSO.2014.67
Filename
6923694
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