Assessing the Potential for Innovative Development of Russian Regions Using a Discriminant Model

Tatyana Averina
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Abstract

The article is the result of continuing work on discriminant analysis of innovative development of regions of the Russian Federation. Testing of the previously constructed discriminant model revealed its applicability for an integral assessment of the regions’ innovative potential. The greatest impact on the region’s ranking position exerted by the share of capital expenditures on technological innovation in the volume of gross regional product. This assessment characterizes to greater extent investments in development and depends on both the costs of innovation and the value of GRP.
利用判别模型评估俄罗斯各地区的创新发展潜力
本文是对俄罗斯联邦各地区创新发展进行判别分析的持续性工作成果。对之前构建的判别模型进行的测试表明,该模型适用于对各地区的创新潜力进行综合评估。用于技术创新的资本支出在地区生产总值中所占份额对地区排名的影响最大。这一评估在更大程度上体现了发展投资的特点,并取决于创新成本和地区生产总值的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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