DocumentCode
2021825
Title
Notice of Retraction
Empirical analysis of the relationship between pollutant emissions and environmental degradation costs in China
Author
Cheng Han ; Hao Jing
Author_Institution
Sch. of Econ. & Manage., Liaoning Shihua Univ., Fushun, China
Volume
2
fYear
2010
fDate
17-18 July 2010
Firstpage
705
Lastpage
708
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.
In order to study the relation between pollutant emissions and environmental degradation costs, a regression equation is used in this paper. By introducing the data of GDP, natural disasters losses, environmental pollutant losses, pollutant control costs, carbon dioxide emissions and industrial emissions, all data over the period 2000-2008, the regression equation can rationally simulate the environmental degradation costs intensity. Empirical results show that the carbon dioxide emissions intensity and waste gas emissions intensity have a greater impact on environmental degradation costs intensity. As the regression equation has a very good simulation results, it can be used to forecast the environmental degradation costs.
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.
In order to study the relation between pollutant emissions and environmental degradation costs, a regression equation is used in this paper. By introducing the data of GDP, natural disasters losses, environmental pollutant losses, pollutant control costs, carbon dioxide emissions and industrial emissions, all data over the period 2000-2008, the regression equation can rationally simulate the environmental degradation costs intensity. Empirical results show that the carbon dioxide emissions intensity and waste gas emissions intensity have a greater impact on environmental degradation costs intensity. As the regression equation has a very good simulation results, it can be used to forecast the environmental degradation costs.
Keywords
air pollution; disasters; economic indicators; environmental degradation; industrial pollution; regression analysis; China; GDP; carbon dioxide emissions; environmental degradation costs; environmental pollutant losses; industrial emissions; natural disasters losses; pollutant control costs; pollutant emissions; regression equation; waste gas emissions intensity; Biological system modeling; Economic indicators; Educational institutions; Stability analysis; CO2 emissions; component; disaster; environment;
fLanguage
English
Publisher
ieee
Conference_Titel
Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-7387-8
Type
conf
DOI
10.1109/ESIAT.2010.5568950
Filename
5568950
Link To Document