俄罗斯地区创新集群形成条件的诊断:数学和统计方法

M. Yagolnitser
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引用次数: 1

摘要

基于对俄罗斯联邦各地区整体经济发展效率、个人活动的有效性、小企业发展程度和区域发展创新指标的子空间中产生的指标的多维分类,对创新中介经济系统(集群)发展条件和因素的空间分异进行系统分析。在产生的系统量规上对区域进行分组的信息指标系统。在由此产生的类型学中,检验了制度环境质量特征差异的统计显著性假设、城市化因素的影响等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diagnosis of Conditions for the Formation of Innovation Clusters in Russian Regions: Mathematical and Statistical Approach
The methodical approach to the analysis of the spatial differentiation of conditions and factors in the development of innovative mesoeconomic systems (clusters) based on multi-dimensional classification of the resulting indicators in subspaces of overall economic efficiency of development of regions of the Russian Federation, the effectiveness of individual activities, the degree of development of small business and innovation indicators for regional development. The system of informative indicators for grouping regions on the resulting system gauges. In the resulting typologies tested the hypothesis of statistical significance of differences of quality characteristics of the institutional environment, the influence of factors of urbanization, etc.
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