创新因素对GDP增长影响的相关回归分析

IF 0.6 Q3 MULTIDISCIPLINARY SCIENCES Science and innovation Pub Date : 2022-09-28 DOI:10.15407/scine18.05.003
T. Marchenko
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引用次数: 1

摘要

介绍为了在明确定义创新驱动的发展指标与国内生产总值之间的相关性的情况下改进创新政策,有必要严格评估创新因素对国家经济增长和竞争力提高的影响。问题陈述。全球经济体系发展的现代条件要求在新的文明挑战下不断调整和改进创新战略,并加强国民经济的研发活动。这突出了关于创新影响的学术研究问题,以及创新驱动发展指标与GDP之间相关性的确定问题。意图本研究基于所提出的利用相关回归分析建立的解释模型,证明了创新因素对GDP增长的影响。这篇文章根据基于多元回归分析的创新驱动发展指标的变化,包含了以年份为单位的GDP预测估计,以及提高乌克兰创新能力的实际建议。材料和方法。为了识别创新对GDP增长的影响,利用相关回归分析建立了一个数学模型;为了展示和可视化研究结果,我们使用了表格和图形方法。后果为了改进乌克兰创新驱动发展的战略,建立了一个基于多元回归分析的经济数学模型。它展示了创新因素对GDP变化的影响。该模型有助于理解创新过程的功能和发展,揭示创新驱动经济发展的各个指标之间的因果关系和功能关系,并通过最大化隐藏的创新能力来确定所需的创新因素水平。结论。战略进程的基础,其基本原则应该是实施旨在选择乌克兰作为一个有竞争力的高科技国家的结构转型创新战略的政府政策。这一战略要求利用国内研发潜力,并使其对国民经济创新驱动发展的贡献成为一个关键因素。
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Correlation-Regression Analysis of Innovation Factor Influence on GDP Growth
Introduction. In order to improve innovation policy given a clear definition of the correlation between innovation-driven development indicators and GDP, it is necessary to critically assess the influence of the innovation factor on the country’s economic growth and an increase in its competitiveness.Problem Statement. Modern conditions of the global economic system development require the constant adjustment and improvement of innovation strategies given new civilizational challenges, as well as the intensification of R&D activities of national economies. This highlighted the problem of scholarly research on the influence of innovation andthe determination of correlation between indicators of innovation-driven development and GDP.Purpose. The research is based on the proposed explanatory model built with the use of correlation-regression analysis, which demonstrates the influence of the innovation factor on GDP growth. The article contains forecast estimates of GDP in terms of years, depending on changes in innovation-driven development indicators based on multiple regression analysis, as well as practical recommendations for increasing the innovation capacity of Ukraine.Material and Methods. To identify the impact of innovation on GDP growth, a mathematical model has beenbuilt with the use of correlation-regression analysis; to demonstrate and visualize the results of the study we haveused tabular and graphical methods.Results. To improve the strategy of innovation-driven development of Ukraine, an economic-mathematical model based on multiple regression analysis has been developed. It demonstrates the influence of the innovation factoron changes in GDP. This model helps to understand the functioning and development of innovation processes, toreveal the causal and functional relationships of individual indicators of innovation-driven economic development,as well as to determine the required level of innovation factor by maximizing the hidden innovation capacity.Conclusions. The basic of the strategic course, its basic principle should be the implementation of governmentpolicy aiming at choosing an innovation strategy of structural transformation of Ukraine as a competitive hightech state. This strategy requires the use of domestic R&D potential and makes its contribution to the innovationdriven development of the national economy a crucial factor.
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来源期刊
Science and innovation
Science and innovation MULTIDISCIPLINARY SCIENCES-
CiteScore
1.10
自引率
0.00%
发文量
55
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