Analysis of major driving forces of ecological footprint based on the STRIPAT model and RR method: A case of Sichuan Province, Southwest China |
| |
Authors: | Wei Tang Xianghao Zhong Shaoquan Liu |
| |
Institution: | (1) Faculty of Business, Economics and Policy Studies, University of Brunei Darussalam, BE1410 Gadong, Brunei Darussalam;(2) ICREA, Barcelona, Spain;(3) Institute of Environmental Science and Technology, Autonomous University of Barcelona, Barcelona, Spain;(4) Department of Economics and Economic History, Autonomous University of Barcelona, Barcelona, Spain;(5) Faculty of Economics and Business Administration, Vrije Universiteit, Amsterdam, The Netherlands;(6) Institute for Environmental Studies, Vrije Universiteit, Amsterdam, The Netherlands |
| |
Abstract: | The 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 (A1), quadratic term of GDP per capita (A2), percentage of GDP from industry (T1) and urbanization rate (T2). 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 (EEA) 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. |
| |
Keywords: | |
本文献已被 CNKI SpringerLink 等数据库收录! |
|