Analysis of the environmental impact of China based on STIRPAT model

被引:203
作者
Lin, Shoufu [1 ,2 ,3 ]
Zhao, Dingtao [2 ]
Marinova, Dora [3 ]
机构
[1] Fujian Normal Univ, Sch Econ, Fuzhou 350007, Fujian Province, Peoples R China
[2] Univ Sci & Technol China, Sch Management, Hefei 230026, Anhui, Peoples R China
[3] Curtin Univ Technol, Sustainabil Policy Inst, Perth, WA 6845, Australia
基金
中国国家自然科学基金; 澳大利亚研究理事会;
关键词
Energy consumption; GDP; Population; Ridge regression; POPULATION; EMISSIONS; IPAT;
D O I
10.1016/j.eiar.2009.01.009
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Assuming that energy consumption is the main source of GHG emissions in China, this paper analyses the effect of population, urbanisation level, GDP per capita, industrialisation level and energy intensity on the country's environmental impact using the STIRPAT model with data for 1978-2006. The analysis shows that Population has the largest potential effect on environmental impact, followed by urbanisation level, industrialisation level, GDP per capita and energy intensity. Hence, China's One Child Policy, which restrains rapid population growth, has been an effective way of reducing the country's environmental impact. However, due to the difference in growth rates, GDP per capita had a higher effect on the environmental impact, contributing to 38% of its increase (while population's contribution was at 32%). The rapid decrease in energy intensity was the main factor restraining the increase in China's environmental impact but recently it has also been rising. Against this background, the future of the country looks bleak unless a change in human behaviour towards more ecologically sensitive economic choices occurs. (C) 2009 Elsevier Inc. All rights reserved.
引用
收藏
页码:341 / 347
页数:7
相关论文
共 34 条
[1]  
[Anonymous], 2004, One With Nineveh: Politics
[2]  
AURELIA BM, 2006, 9806 FEEM
[3]  
Bjorkstrom Anders B J., 2001, Ridge regression and inverse problems
[4]   Does I=PAT Work in local places? [J].
DeHart, JL ;
Soulé, PT .
PROFESSIONAL GEOGRAPHER, 2000, 52 (01) :1-10
[5]   Effects of population and affluence on CO2 emissions [J].
Dietz, T ;
Rosa, EA .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1997, 94 (01) :175-179
[6]  
Dietz T., 1994, HUM ECOL REV, V1, P277, DOI DOI 10.2307/24706840
[7]   IMPACT OF POPULATION GROWTH [J].
EHRLICH, PR ;
HOLDREN, JP .
SCIENCE, 1971, 171 (3977) :1212-&
[8]  
Ehrlich PR., 1972, Bull Sci, V28, P16, DOI DOI 10.1080/00963402.1972.11457930
[9]   Analyzing impact factors of CO2 emissions using the STIRPAT model [J].
Fan, Y ;
Liu, LC ;
Wu, G ;
Wei, YM .
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 2006, 26 (04) :377-395
[10]   Primacy versus recency in a quantitative model: Activity is the critical distinction [J].
Greene, AJ ;
Prepscius, C ;
Levy, WB .
LEARNING & MEMORY, 2000, 7 (01) :48-57