基于PCA算法的安徽省城市综合承载能力评价研究  

Evaluation of the comprehensive carrying capacity of cities of Anhui province based on PCA

作　　者：何刚[1] 杨黎[1] 张宏[1] 乔国通[2] 

机构地区：[1]安徽理工大学经济与管理学院,安徽淮南232001 [2]安徽理工大学电气与信息工程学院,安徽淮南232001

出　　处：《安徽理工大学学报（社会科学版）》2015年第2期19-24,共6页Journal of Anhui University of Science and Technology:Social Science

基　　金：安徽省高校人文社会科学研究重大项目(SK2014ZD024);教育部人文社会科学规划基金(14YJAZH029)

摘　　要：基于城市综合承载能力的要求,选取经济、资源、环境和社会等4个层面的28项指标,采用主成分分析法(PCA)建立评价体系,分析评价安徽省16个城市的综合承载能力。结果显示,城市的经济承载能力对其综合承载能力有主要的影响,但与资源、环境和社会承载能力几乎成反比。然而,要提高城市综合承载能力,我们不仅要注重实体经济的发展,也要注重第三产业的发展,提高绿色能源的使用,以保证经济的绿色发展。因此,只有让经济、资源、环境、社会建设协同发展,共同推进城市综合承载能力,才能真正提高城镇化质量。此研究结果还可以为城市综合承载能力评价提供一个新的研究思路。Based on the requirements of comprehensive carrying capacity of cities, comprehensive carrying ca-pacity of 16 typical cities of Anhui province is evaluated by principal component analysis （ PCA） from four as-pects, which are economic development, resources, environment and society.The findings show that economic development plays a pivotal role in the comprehensive carrying capacity, yet disproportionate to the other three aspects.In order to improve comprehensive carrying capacity, we should not only pay attention to the develop-ment of entity economy, but also attach importance to the advance of tertiary industry and increasing the use the green energy to ensure the eco-friendly and sustainable growth of economy.Consequently, only through the co-ordinated development of the four aspects ,can the comprehensive carrying capacity and the quality of urbaniza-tion be improved.The findings of this study may provide a new approach for the evaluation of the comprehensive carrying capacity of cities as well.

关 键 词：综合承载能力 评价指标 主成分分析法 

分 类 号：F290[经济管理—国民经济]