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摘要

本文提出了政府支持效果最大化的国家创新体系增长区识别的原始算法模型。该模型基于对国内生产总值(gdp)、人类发展指数和全球创新指数积分值的数值比较,以及表征各国政府对国家创新体系支持程度的子指标。该模型比较了约180个国家2013年至2019年的这些指标,并确定了国家创新体系中对全球创新指数积分指标增长贡献最大的部门。对于俄罗斯联邦,使用该模型确定了国家创新系统中潜在经济增长的领域,并根据动态进行了排名。该模型所确定的俄罗斯国家创新体系的增长区,一方面与政府的内部政策相一致,另一方面与国家历史道路的特殊性相一致。
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Growth zones of the national innovation system of Russia
The article presents the original algorithmic model for identification of growth zones of the national innovation system that maximize the effect of government support. The model is based on numerical comparison of values of indicators of gross domestic product, the human development index and the integral value of the global innovation index, and also its subindicators characterizing government support of national innovation system in each of the countries under consideration. The model compares these indicators for about 180 countries aggregated from 2013 to 2019 and identifies sectors of the national innovation system, stimulation of which gives the highest contribution to growth of the integral indicator of the global innovation index. For the Russian Federation with the use of the model the spheres of potential economic growth in the national innovation system were determined and ranked according to the dynamics. The growth zones of the national innovation system of Russia identified by the model are generally consistent, on the one hand, with the internal policy pursued by the government, and on the other hand, with the peculiarities of the country’s historical path.
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