用主成分法研究人类发展指数、城市环境质量指数、生活质量指数和区域生产总值指数之间的相互关系

T. Orlovskaya
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引用次数: 1

摘要

目前,考虑特大城市和地区人口的舒适和生活安全问题的紧迫性是无可争辩的。特别注意使用各种评价指标- -人类发展指数、城市环境质量指数、生活质量指数、人均区域生产总值和其他指标。研究的主题是俄罗斯联邦各组成实体的社会经济发展指数。这项研究的目的是确定各种指标之间的关系,以便能够评估生活环境的舒适和安全,确保生活质量和城市环境标准的质量,并对区域和特大城市形成高水平的人力资本具有优先价值。假设使用上述指标对特大城市的研究可以用较少的因素来描述,因为指标之间应该存在关系。假设所有这些指标都包含相当多的相似指标,它们之间关系的紧密程度可以通过相关分析的方法来揭示。采用经济学和数学方法对这五个指标进行比较,并进行回归分析。利用主成分法,发现了一个统计显著的回归方程,描述了所考虑的指标的相关性。根据计算结果,发现指标对人类发展指数变化的影响幅度为84%。该假设证明了影响人类发展指数变化的主要因素是城市环境质量、人口生活质量和人均区域生产总值。
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Research interconnection of indices of human development, quality of the urban environment, quality of life and gross regional product by the method of the main component
Currently, the urgency of considering the problems of comfort and life safety of the population of megalopolises and regions is indisputable. Particular attention is paid to the use of various indicators for assessing - the human development index, the urban environment quality index, the quality of life index, the gross regional product per capita and other indicators. The subject of the research is the indices of socio-economic development of the constituent entities of the Russian Federation. The aim of the study is to identify the relationship between indicators that make it possible to assess the comfort and safety of the living environment, ensuring the quality of life and quality of the urban environment standards and having a priority value for the formation of a high level of human capital in regions and megacities. It was hypothesized that the study of megalopolises using the above-mentioned indicators can be described using fewer factors, since there should be a relationship between the indicators. It is assumed that all of these indicators contain a fairly large number of similar indicators, the tightness of the relationship between which can be revealed by the methods of correlation analysis. Comparison of these five indices was carried out using economic and mathematical methods, regression analysis. Using the principal component method, a statistically significant regression equation was found that describes the dependence of the indicators under consideration. According to the results of the calculations, it was found that the magnitude of the impact of indicators on the change in the human development index is 84%. The hypothesis has been proved that the main factors influencing the human development index change are the quality of the urban environment, the quality of life of the population, and the gross regional product per capita.
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