DocumentCode :
3364684
Title :
Research on the relationship between environmental pollution and economy
Author :
Yan, Xiaofei ; Du, Xiufang ; Jiang, Yuexiang
Author_Institution :
Fac. of Humanities & Social Sci., Beijing Inst. of Petrol-Chem. Technol., Beijing, China
fYear :
2010
fDate :
26-28 June 2010
Firstpage :
1809
Lastpage :
1812
Abstract :
The impact of economic growth on environment has been one of hot topics of scholars at home and abroad. The hypothesis of environmental Kuznets curve, and a large number of related verification studies are all based on time-series data, by which the relationship between economic growth and environmental pollution in a country or a region can be explained from time scale, however, the differences of economic development and technological progress are ignored in the studies. In this paper, we adopt the data of 2008 and use factor analysis to do evaluation on the environmental pollution degrees of 30 provinces, municipalities and autonomous regions (not including Hong Kong, Macao, Taiwan and Tibet), and then use regression analysis method to research the relationship between the regional environmental pollution degree and regional economy. The results show that there is a significant positive correlation between them.
Keywords :
environmental economics; environmental management; regression analysis; time series; economic development; economic growth; environmental Kuznets curve; factor analysis; regional economy; regional environmental pollution degree; regression analysis; time-series data; Data analysis; Educational technology; Environmental economics; Environmentally friendly manufacturing techniques; Fuel economy; Industrial pollution; Industrial relations; Regression analysis; Solids; Water pollution; economic growth; environmental pollution; factor analysis; regression analysis; relationship;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7737-1
Type :
conf
DOI :
10.1109/MACE.2010.5536532
Filename :
5536532
Link To Document :
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