俄罗斯联邦中小企业:空间分布规律

Julia Pinkovetskaya, S. N. Meliksetyan, A. Pavlyuk, N. Lipatova, I. Nusratullin
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引用次数: 0

摘要

自1991年以来,中小型企业一直在俄罗斯联邦经营。这项研究致力于发展各种方法和工具,通过经济和数学模型来评估目前的产量结构、雇员人数和中小型企业以及个体企业家的数量;分析俄罗斯各地区所有中小企业的统计数据;中小企业、个体企业家在俄罗斯中小企业总体指标中的权重及其各地区分布的建模基于正态分布密度函数。具有相似指标的国家区域的关联是基于使用k-means方法的聚类分析。计算实验过程中得到的9个正态分布密度函数对经验数据具有较高的近似质量,并得到了Kolmogorov-Smirnov、Pierson和Shapiro-Wilk检验的证实。已经形成了以类似的指标,即生产的具体权重、雇员的数量和商业实体的数量,将全国各地区联合起来的集群。研究结果可用于解决俄罗斯各地区企业发展的体制、财政和基础设施支持问题,所提出的方法适用于研究任何国家的企业地域集团的活动。
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Small and Medium-Sized Enterprises in the Russian Federation: Regularities of Spatial Distribution
Small and medium-sized business enterprises (SMEs) have been operating in the Russian Federation since 1991. The study is devoted to the development of methods and tools for assessing the current structure of production volumes, the number of employees and the number of small and medium enterprises, as well as individual entrepreneurs through: economic and mathematical modeling; analysis of statistics for all SMEs of each of the regions in Russia; modeling of the weights of small, medium-sized enterprises, individual entrepreneurs in the overall indicators of SMEs and their distribution by regions of Russia is based on the functions of the density of normal distribution. Association of regions of the country with similar indicators is based on cluster analysis using the k-means method. The nine functions of the normal distribution density obtained in the course of the computational experiment have a high quality of approximation of the empirical data, which was confirmed by the Kolmogorov-Smirnov, Pierson and Shapiro-Wilk tests. Clusters have been formed that unite the regions of the country with similar indicators, namely, the specific weights of production, the number of employees and the number of business entities. The results can be used to solve the problems of institutional, financial and infrastructural support for the development of entrepreneurship in the regions of Russia, and the proposed methodology is applicable for studying the activities of territorial aggregates of enterprises of any state.
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