阿尔泰边疆区经济和人口趋势分析

A. Zinoviev, I. Dubina, D. Tarasov
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摘要

本文对2000-2020年期间俄罗斯阿尔泰地区(阿尔泰边疆区)主要经济和人口指标的动态进行了分析,并确定了其变化趋势及其相互关联性。研究的变量包括出生和死亡人数、到达和离开人数、平均预期寿命、平均人均收入、总生产总值、人均总生产总值等指标,以及相应的相对指标。分析方法采用视觉图形法、相关分析法和多元非线性回归分析法。审议了2000-2020年期间该区域人口和社会经济发展的20多项统计指标。本文采用基于Cobb-Douglas函数的模型作为回归分析的基本模型。在相关分析和逐步回归的基础上,考虑到多重共线性的评估和模型参数的统计显著性,选择了三个与人口规模相关性较强且统计显著的因素纳入计量经济模型:离开人数、人均实际收入和人均可比价格的国内生产总值。通过对各因素对总人口变化影响有效性的广义指标与各因素对总人口变化影响规模指标的比较,得出结论:在研究期间,随着社会经济因素规模的增加,该地区人口有减少的趋势,这表明该地区经济的广泛发展。
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ANALYSIS OF ECONOMIC AND DEMOGRAPHIC TRENDS IN ALTAI KRAI
This paper presents the analysis of the dynamics of the main economic and demographic indicators of the Altai Territory of Russia (Altai Krai) for the period 2000-2020 and defines the trends in their change, as well as their interconnectedness. The studied variables included such indicators as the number of births and deaths, arrivals and departures, average life expectancy, average per capita income, GRP, GRP per capita, etc., as well as the corresponding relative indicators. For the analysis, the methods of visual-graphical, correlation, and multivariate nonlinear regression analysis were used. More than 20 statistical indicators of the demographic and socio-economic development of the region for the period 2000-2020 were considered. As a basic model for regression analysis, a model based on the Cobb-Douglas function was applied. On the basis of correlation analysis and stepwise regression, taking into account the assessment of multicollinearity and the statistical significance of the model parameters, three factors were selected for inclusion in the econometric model, which are quite strongly and statistically significantly related to the population size: the number of people who left, the real income per capita, and GRP per capita in comparable prices. As a result of comparing the generalized indicator of the effectiveness of the influence of factors on the change in the total population with the indicator of the scale of the influence of factors on this change, it was concluded that there was a tendency for the population of the region to decrease over the study period with the increase in the scale of socio-economic factors, which indicates on the extensive development of the region's economy.
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