基于改进STIRPAT模型的定西市生态足迹影响因素研究

发布时间：2019-08-24 15:19

【摘要】：基于主成分分析方法改进的STIRPAT模型分析了1990~2011年定西市生态足迹的影响因素。1990~2011年定西市总生态足迹呈现缓慢上升趋势,人类活动对该区域生态的压力增大。改进的STIRPAT模型可以解决原始STIRPAT模型分析过程中的自变量共线性问题。结果表明,经济发展因子对总生态足迹、生物消费生态足迹均为正向影响,对能源消费生态足迹为负向影响。工业因子对总生态足迹、生物消费生态足迹和能源消费生态足迹的影响均为正向,对能源消费生态足迹的影响强度相对较大。总人口、人均GDP、第二产业占GDP的比例、第三产业占GDP的比例、城镇居民人均可支配收入、农民人均纯收入对定西市生态足迹呈现正向驱动影响,城乡人均收入增长对于生态足迹的影响无显著差异。
[Abstract]:Based on the improved STIRPAT model of principal component analysis (PCA), the influencing factors of ecological footprint in Dingxi City from 1990 to 2011 were analyzed. From 1990 to 2011, the total ecological footprint of Dingxi City showed a slow upward trend, and the pressure of human activities on the ecology of Dingxi City increased. The improved STIRPAT model can solve the independent variable collinearity problem in the analysis of the original STIRPAT model. The results show that the economic development factors have a positive effect on the total ecological footprint and the ecological footprint of biological consumption, and have a negative effect on the ecological footprint of energy consumption. The influence of industrial factors on the total ecological footprint, biological consumption ecological footprint and energy consumption ecological footprint is positive, and the impact on the ecological footprint of energy consumption is relatively strong. The proportion of total population, per capita GDP, secondary industry to GDP, the proportion of tertiary industry to GDP, the per capita disposable income of urban residents and the per capita net income of farmers have a positive driving effect on the ecological footprint of Dingxi City, but there is no significant difference between urban and rural per capita income growth on ecological footprint.
【作者单位】：北京林业大学经济管理学院;中国科学院地理科学与资源研究所;中国科学院大学;
【基金】：国家自然科学基金面上项目“基于微观尺度的典型大都市功能区碳排放过程及优化调控研究”(41271886);国家自然科学基金面上项目“宁蒙沿黄地带城市化与环境耦合机理与调控研究”(41271556) 国家科技基础性工作专项项目“格网化资源环境综合科学调查规范”(2011FY110400)
【分类号】：F127;X22

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