DocumentCode
2471791
Title
Verifying Environmental Kuznets curve in China: Based on panel data of cities
Author
Yuan, Peng ; Cheng, Shi
Author_Institution
Coll. of Econ., Dalian Univ. of Technol., Dalian, China
fYear
2011
fDate
24-26 June 2011
Firstpage
6568
Lastpage
6571
Abstract
This paper estimates the Environmental Kuznets Curve (EKC) by using panel data of 284 cities of China in 2003-2008. The results show that the relationship between the waste water emissions per capita and GDP per capita is an inverted N-shaped curve, which is sulfur dioxide emissions per capita, but for soot it is an inverted U-shaped curve. In addition, this paper also considers the influence of some factors on pollution emissions except GDP per capita, such as scale of enterprises, foreign economic, scientific and educational investment, population density, input in environmental governance and industry structure. The sample cities are in the decrease phase of the curve during the study period on average, it means that emissions decrease with economic growth. However, EKC is only a description of the empirical data rather than the prediction tools, economic growth will not automatically solve the environmental problems. If the environment supervision is relaxed, the pollution is still likely to rebound.
Keywords
economic indicators; environmental economics; pollution; China; GDP per capita; economic growth; environmental Kuznets curve; environmental problems; inverted N-shaped curve; inverted U-shaped curve; pollution emissions; sulfur dioxide emissions per capita; waste water emissions per capita; Air pollution; Cities and towns; Economic indicators; Environmental economics; Environmentally friendly manufacturing techniques; Environmental Kuznets Curve; Panel Data of Cities; Sustainable Development;
fLanguage
English
Publisher
ieee
Conference_Titel
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-9172-8
Type
conf
DOI
10.1109/RSETE.2011.5965864
Filename
5965864
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