创新基础设施的有效性:以哈萨克斯坦为例

B. Bayadilova, Arsen Nassyrkhanov, E. Tlessova, Lyazzat Parimbekova, M. Tolymgozhinova, T. Kuangaliyeva
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引用次数: 2

摘要

目的:创新经济的发展受到科学资助、科研机构现代化和专家创新培训等问题的制约。本文的重点是利用一套系统化的绩效指标来评估哈萨克斯坦共和国创新基础设施的有效性。方法/方法:分析了评估创新基础设施的方法。在此基础上,建立了相关回归评价模型。研究结果:基于所得绩效指标,对创新基础设施发展进行了预测。这种预测具有很高的现实意义,因为它可以预测创新的结果。研究局限/启示:在全球化背景下,发展创新型经济与区域创新体系刻不容缓。如果将这些系统结合起来,可以加速区域的创新进程,确保竞争力并加快社会经济发展。创新经济的形成应与生产力和生产关系相适应。论文的原创性/价值:通过分类,本研究建立了一套衡量创新基础设施绩效的基础指标。建立了相关回归分析模型,对哈萨克斯坦创新基础设施的有效性进行了评价。
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The Effectiveness of Innovative Infrastructure: The Case of Kazakhstan
Purpose: The development of an innovative economy is constrained by the problems of science funding, modernization of scientific institutions and innovative training of specialists. This article focuses on the problem of evaluating the effectiveness of the innovation infrastructure of the Republic of Kazakhstan using a systematized set of performance indicators. Methodology/Approach: Approaches to assessing innovation infrastructure have been analysed. Based on the analysis, correlation and regression assessment model has been developed. Findings: A forecast has been made for innovative infrastructure development based on the obtained performance indicators. This forecast is of high practical significance, as it allows predicting the outcomes of innovation. Research Limitation/implication: In the light of globalization, it is extremely urgent to develop an innovative economy along with regional innovation systems. If combined, these systems can accelerate the innovation processes in the regions, ensure competitiveness and expedite the socio-economic development. The formation of an innovative economy should be in line with the productive forces and production relations. Originality/Value of the paper: Through categorization, this study establishes a set of underlying indicators, which are used to measure the performance of the innovation infrastructure. A model of correlation and regression analysis is built, which allows evaluating the effectiveness of the innovation infrastructure of Kazakhstan.
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来源期刊
CiteScore
3.10
自引率
13.30%
发文量
16
审稿时长
6 weeks
期刊最新文献
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