Spatiotemporal change of ecological footprint and sustainability analysis for Yangtze Delta Region

被引:13
作者
Wang Ping [1 ]
Wang Xinjun [1 ]
机构
[1] Fudan Univ, Dept Environm Sci & Engn, Shanghai 200433, Peoples R China
基金
中国国家自然科学基金;
关键词
ecological footprint; spatiotemporal analysis; sustainable development index; STIRPAT model; Yangtze Delta Region; DRIVING FORCES; PROVINCE; STIRPAT;
D O I
10.1007/s11442-011-0885-y
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
In the urbanizing world, the Yangtze Delta Region (YDR) as one of the most developed regions in China, has drawn a lot of the world's attention for the remarkable economic development achieved in the past decades. Nevertheless, the rapid economic development was certain to be accompanied by unprecedented consumption and loss of natural resources. Therefore, the analysis of the ecological situation and driving factors of environmental impact was of great significance to serve the local sustainable development decision-making and build a harmonious society. In this paper, the ecological footprint (EF) was taken as the index of the ecological environmental impact. With the help of Geographic Information System (GIS), we studied the spatiotemporal change of ecological footprint at two scales (region and city) and assessed urban sustainable development ability in YDR. Then we discussed the driving factors that affected the change of ecological footprint by the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model. The results showed that increasing trends of regional ecological footprint during 1998-2008 (1.70-2.53 ha/cap) were accompanied by decreasing ecological capacity (0.31-0.25 ha/cap) but expanding ecological deficit (1.39-2.28 ha/cap). The distribution pattern of ecological footprint and the degree of sustainable development varied distinctly from city to city in YDR. In 2008, the highest values of ecological footprint (3.85 ha/cap) and the lowest one of sustainable development index (SDI=1) in YDR were both presented in Shanghai. GDP per capita (A) was the most dominant driving force of EF and the classical EKC hypothesis did not exist between A and E F in 1998-2008. Consequently, increasing in ecological supply and reducing in human demand due to technological advances or other factors were one of the most effective ways to promote sustainable development in YDR. Moreover, importance should be attached to change our definition and measurement of prosperity and success.
引用
收藏
页码:859 / 868
页数:10
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