摘要
应用扩展的STIRPAT模型,结合主成分回归方法,对福建省生态足迹驱动机制进行研究.结果表明:2000年到2009年间,对福建省生态足迹具有正向驱动的驱动因子从大到小分别为:人口数、城市化水平、人均GDP和第三产业比重;对生态足迹起负向作用的驱动因子从大到小分别为:恩格尔系数、霍夫曼系数、生态足迹强度.人均生态足迹与人均GDP之间当前并未存在环境库兹涅茨关系.
Ecological footprint is an important indicators used for assessment of regional sustainable development status. Combined with principal component regression analysis method, the extended STIRPAT model was applied to study the driving mechanism of the ecological footprint of Fujian Province in this paper. The results show that： from 2000 to 2009, driving factors having positive effects on the ecological footprint of Fujian Province from greatest to least are： population, urbanization level, per capita GDP and the proportion of tertiary industry, respectively; driving factors having adverse effects on the ecological footprint of the from greatest to least are ： Engel＇s coefficient, the Hoffman coefficient, intensity of the ecological footprint, respectively. The results also indicate that environmental Kuznets curve relationship between per capita ecological footprint and the per capita GDP does not exist currently.
出处
《福建师范大学学报（自然科学版）》
CAS
CSCD
北大核心
2014年第4期96-102,共7页
Journal of Fujian Normal University：Natural Science Edition
基金
福建省软科学资助项目(2012R0033)
关键词
生态足迹
STIRPAT模型
主成分回归分析
驱动因子
ecological footprint
STIRPAT model
principal component regression analysis
driving factors
