MEASUREMENT AND DRIVING FACTORS OF THREE-DIMENSIONAL ECOLOGICAL FOOTPRINT IN SHENYANG CITY

MEASUREMENT AND DRIVING FACTORS OF THREE-DIMENSIONAL ECOLOGICAL FOOTPRINT IN SHENYANG CITY
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DOI:
10.20937/rica.2019.35.esp01.21
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发表时间:
2019-06
期刊:
Revista Internacional de Contaminación Ambiental
影响因子:
--
通讯作者:
Tongfeng Chen;K. Chen;Chang Wang
Tongfeng Chen;K. Chen;Chang Wang
中科院分区:
其他
文献类型:
--
作者:
Tongfeng Chen;K. Chen;Chang Wang

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基于三维生态足迹模型,测量了沈阳市2005 - 2016年三维生态足迹的动态变化,并通过偏最小二乘回归分析了影响三维生态足迹的驱动因素。研究结果表明:2005 - 2016年沈阳市人均三维生态足迹总体呈上升趋势,年均增长16.5%;同时,人均生态承载力呈逐年下降趋势,年均下降幅度为0.79%。偏最小二乘回归分析表明,城市生态建设和环境污染是导致沈阳市生态足迹逐年增加的显著因素。反之,交换与贸易、环境治理和土地利用结构有利于缓解生态扩张的压力。我们对变量预测重要性的分析表明,人均公共绿地面积和工业废弃物排放指标对沈阳市生态足迹指标的影响较大,与回归分析的综合评价结果相对一致。今后要通过优化产业结构、使用清洁能源、积极发展对外贸易和交流、合理规划城市用地等措施,提高城市生态建设效率。
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.