IMHE OpenIR  > 山地表生过程与生态调控重点实验室
Analysis of major driving forces of ecological footprint based on the STRIPAT model and RR method: A case of Sichuan Province, Southwest China
Tang Wei1,2; Zhong Xianghao1; Liu Shaoquan1
Corresponding AuthorZhong Xianghao
2011
Source PublicationJOURNAL OF MOUNTAIN SCIENCE
ISSN1672-6316
Volume8Issue:4Pages:611-618
SubtypeArticle
AbstractThe Ecological Footprint (EF) equation provides useful accounting to analyze the relationship between human activities and the environment. Knowledge of the specific forces driving EF is not fully understood but the STIRPAT model provides a simple framework for decomposing the impact of human activities on environment. We applied the EF model in Sichuan Province, China to assess the impact of human activities. The per capita EF increased by 2 fold in the 14 years between 1995 and 2008, but ecological capacity decreased in the same period, suggesting that the biologically productive area of Sichuan Province is inadequate to sustain human activities. According to the refined STIRPAT model, the hypothesized driving forces of EF include population size (P), GDP per capita (A(1)), quadratic term of GDP per capita (A(2)), percentage of GDP from industry (T(1)) and urbanization rate (T(2)). However, the multi-collinearity among these drivers could be a substantial problem which may reveal negative effect in the final results. Application of the Ridge Regression (RR) method to fit the STIRPAT model had the advantage of being able to avoid the collinearity among independent variables. The results showed that population is the principal driving force of EF variation in Sichuan Province and that urbanization and industrialization also have a positive association with the EF. Analysis of affluence elasticity (EE(A)) showed that the relationship between EF and economic growth was not curvilinear, suggesting that variation of EF does not follow an Environmental Kuznets Curve relative to economic growth in Sichuan Province.
KeywordEcological Footprint Stirtpat Model Ridge Regression Major Driving Forces Sichuan Province China
Subject Area地理学
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
DOI10.1007/s11629-011-1021-2
WOS Subject ExtendedEnvironmental Sciences & Ecology
Indexed BySCI
WOS KeywordSUSTAINABILITY ; REGRESSION ; STIRPAT
Language英语
Quartile4区
TOP
WOS SubjectEnvironmental Sciences
WOS IDWOS:000293027700013
Funding OrganizationChinese Academy of Sciences(KZCX2-YW-333) ; National Natural Science Foundation of China(40901299)
Citation statistics
Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/5497
Collection山地表生过程与生态调控重点实验室
中国科学院水利部成都山地灾害与环境研究所
山区发展研究中心
Affiliation1.Chinese Acad Sci, Inst Mt Hazard & Environm, Chengdu 610041, Peoples R China
2.Chinese Acad Sci, Grad Sch, Beijing 100049, Peoples R China
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
GB/T 7714
Tang Wei,Zhong Xianghao,Liu Shaoquan. Analysis of major driving forces of ecological footprint based on the STRIPAT model and RR method: A case of Sichuan Province, Southwest China[J]. JOURNAL OF MOUNTAIN SCIENCE,2011,8(4):611-618.
APA Tang Wei,Zhong Xianghao,&Liu Shaoquan.(2011).Analysis of major driving forces of ecological footprint based on the STRIPAT model and RR method: A case of Sichuan Province, Southwest China.JOURNAL OF MOUNTAIN SCIENCE,8(4),611-618.
MLA Tang Wei,et al."Analysis of major driving forces of ecological footprint based on the STRIPAT model and RR method: A case of Sichuan Province, Southwest China".JOURNAL OF MOUNTAIN SCIENCE 8.4(2011):611-618.
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