期刊
REVISTA INTERNACIONAL DE CONTAMINACION AMBIENTAL
卷 35, 期 -, 页码 213-221出版社
CENTRO CIENCIAS ATMOSFERA UNAM
DOI: 10.20937/RICA.2019.35.esp01.21
关键词
Shenyang city; three dimensional ecological footprint; footprint depth; footprint breadth; partial least-squares regression
Based on the three-dimensional (3D) ecological footprint model, this paper has provided the measurements of the dynamic changes of the 3D ecological footprint of Shenyang from 2005 to 2016, and the analysis of the driving factors behind such footprint through the partial least-squares regression. Our research findings reveal that: The overall per capita 3D ecological footprint of the Shenyang City went upward from 2005 to 2016, with an average annual growth rate of 16.5%; at the meantime, the per capita ecological carrying capacity showed a year-on-year downward trend at an average annual rate of 0.79%. The analysis of partial least squares regression indicates that urban ecological construction and environmental pollution constitute the significant factors that lead to the increase of the ecological footprint year by year in Shenyang. On the contrary, the exchange and trade, the environmental governance and the structure of land use are conducive to relieving the pressure on the ecological expansion. Our analysis of the importance of variable projections demonstrates that per capita public green area and the emission indicators of the industrial waste have imposed a greater influence on the index of ecological footprint of Shenyang and are relatively consistent with the comprehensive evaluation results of the regression analysis. In the future, we shall enhance the efficiency of urban ecological construction by optimizing industrial structure, using clean energy, actively developing foreign trade and exchanges, and rationally planning urban land use.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据