DocumentCode :
3175498
Title :
Notice of Retraction
COD reduction potential in TangShan based on the environmental learning curve
Author :
Guangfeng Wang ; Jun Chang ; Yunyun Ma
Author_Institution :
Coll. of Econ., Hebei United Univ., TangShan, China
fYear :
2011
fDate :
8-10 Aug. 2011
Firstpage :
1010
Lastpage :
1013
Abstract :
Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

The environmental learning curve of COD emission in Tang Shan city can be analyzed from the data from 2000 to 2008. Based on 2008, COD emission reduction potential annually during the 12th Five-Year, can be quantitatively analyzed. And then, COD reduction will be restricted by inertia of the traditional mode of economic growth, rigidity of heavy industrial structure, flexibility in emission reduction policies and measures, and irrationality of Main body in reduction. This paper brings up some corresponding policies.
Keywords :
air pollution control; atmospheric composition; data analysis; environmental legislation; environmental monitoring (geophysics); AD 2000 to 2008; COD emission process; COD emission reduction potential; China; Tang Shan city; chemical oxygen demand; economic growth process; emission reduction policies; environmental learning curve; heavy industrial structure; Cities and towns; Economic indicators; Energy conservation; Energy consumption; Industries; Water pollution; COD Reduction; Environmental Learning Curve; Reduction Potential;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Dengleng
Print_ISBN :
978-1-4577-0535-9
Type :
conf
DOI :
10.1109/AIMSEC.2011.6010674
Filename :
6010674
Link To Document :
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