DocumentCode :
2469938
Title :
Relationship between the ecological footprint and the economic growth in China
Author :
Feng, Zhe ; Wu, Jiansheng
Author_Institution :
The Key Laboratory for Environmental and Urban Sciences, Shenzhen Graduate School, School of Urban Planning & Design, Peking University, China
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
6205
Lastpage :
6211
Abstract :
Regional eco-economic system is an open complex system with the interaction between human being and nature. As a policy guide and planning tool for sustainability, the ecological footprint method created by Rees and Wackernagel has been widely used with an ongoing discussion and modification. In this paper, by using the panel data model, we improved the ecological footprint model, accounted the changing process of the per capita consumption ecological footprint, analyzed the relationship between economic growth and ecological footprint and forecasted the inflection years on provincial level in China from 1996 to 2008. The results showed that: based on panel model, simulation results fitted well and the coefficients were significant. The relationship between ecological footprint and per capita GDP accorded with the Environmental Kuznets Curve (EKC) characteristics of reversed U shape. The ecological footprints of most regions were still accelerated increasing on provincial level in China, not reaching the inflection point. The reaching sequence was east, middle and west regions. At present, ecological footprint growth gradually slowed down in Shanghai, while the extreme points were reached in Tianjin and Beijing. In west, the inflection points would be reached after 2020. As to the progress of ecological footprint, the east was 3 years faster than middle and 7 years faster than west. t)
Keywords :
Biological system modeling; Data models; Economic indicators; Educational institutions; Logistics; Urban planning; China; ecological footprint model; economic growth; panel data model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing, China
Print_ISBN :
978-1-4244-9172-8
Type :
conf
DOI :
10.1109/RSETE.2011.5965775
Filename :
5965775
Link To Document :
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