Evaluating on the Industrial Pollution Emission Intensity

Author

Zhao Guohao ; Li, We

Author_Institution

Sch. of Manage. Sci. & Eng., Shanxi Univ. of Finance & Econ., China

fYear

2009

fDate

20-22 Sept. 2009

Firstpage

1

Lastpage

5

Abstract

Based on the analysis of the industrial economic development and pollutant emission trend, this paper, taking Shaanxi Province as an example, used the data of pollutant emission from 2001 to 2006 in various industrial sectors in Shaanxi Province and got the pollution emission intensity of various industrial sectors by using the method of comprehensive evaluating indicator. The clustering analysis on industry GDP contribution rate and pollution emission intensity was made by the method of K-means algorithm. The paper classifies industrial sectors into four types, including adjustment-based development industry, encouragement-based development industry, transformation-based development industry and restriction-based development industry and provides theoretical and practical basis for further adjusting industrial structure.

Keywords

economic indicators; environmental economics; industrial pollution; pattern classification; pattern clustering; China; K-means algorithm; Shaanxi Province; adjustment-based development industry; clustering analysis; comprehensive evaluating indicator; encouragement-based development industry; industrial economic development; industrial pollution emission intensity; industrial sector classification; industrial structure; industry GDP contribution rate; pollutant emission trend; restriction-based development industry; transformation-based development industry; Algorithm design and analysis; Clustering algorithms; Economic indicators; Educational institutions; Environmental economics; Environmentally friendly manufacturing techniques; Industrial economics; Industrial pollution; Industrial relations; Power generation economics;

fLanguage

English

Publisher

ieee

Conference_Titel

Management and Service Science, 2009. MASS '09. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4638-4

Electronic_ISBN

978-1-4244-4639-1

Type

conf

DOI

10.1109/ICMSS.2009.5305544

Filename

5305544