中文摘要：

生态的脚印(EF ) 方程提供有用财务分析在人的活动和环境之间的关系。驾驶 EF 的特定的力量的知识充分没被理解，但是 STIRPAT 模型为在环境上分解人的活动的影响提供一个简单框架。我们在四川省使用了 EF 模型，估计人的活动的影响的中国。人均的 EF 在在 1995 和 2008 之间的 14 年里由 2 褶层增加了，但是生态的能力在一样的时期减少了，建议四川省的生物学上高效的区域是不适当的支撑人的活动。根据精制 STIRPAT 模型的意见， EF 的假设驱动力包括人口尺寸(P) ， GDP 人均(A1 ) ， GDP 的二次的术语人均(A2 ) ，从工业(T1 ) 和都市化率(T2 ) 的 GDP 的百分比。然而，在这些司机之中的 multi-collinearity 能是可以表明在期末考试的否定效果结果的一个实质的问题。山脉回归(RR ) 方法的申请有的优点适合 STIRPAT 模型能在独立变量之中避免 collinearity。结果证明人口是在四川省的 EF 变化的主要驱动力并且都市化和工业化也与 EF 有一个积极协会。富裕弹性(EEA ) 的分析证明在 EF 和经济生长之间的关系不是曲线的，建议 EF 的那个变化不跟随相对在四川省的经济生长的一条环境 Kuznets 曲线。

英文摘要：

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 betweenEF 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.