创新发展条件下教育对营商便利度的影响:因子分析与多元回归

IF 1.2 Q4 MANAGEMENT Marketing and Management of Innovations Pub Date : 2023-01-01 DOI:10.21272/mmi.2023.2-19
Anastasiia Samoilikova, Valeriia Herasymenko, A. Kuznyetsova, M. Tumpach, Martina Ballova, Larisa Şavga
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引用次数: 5

摘要

教育加速了社会生活的变化和转变,也是一般和商业进步和发展的主要因素之一。这篇文章根据来自28个世界国家的证据以及来自世界银行、联合国、塔夫茨大学和标准普尔评级服务公司的数据,证实并形式化了教育水平指标(考虑到其创新发展)与经商便利度之间的关系。这篇文章的目的是找到创新教育的指标,这些指标最显著地促进了营商便利。为此,对统计数据进行认知分析,借助描述性分析工具,形成指标的统计显著特征空间。通过计算Pearson相关系数的值来检查关系的密度和方向。输入特征空间的多维度从调查的9个指标(数字发展指标;人类发展指数;采用主成分分析和正交变换的方法,在Statgraphics Centurion 19软件中使用Varimax方法。通过Kaiser-Meier-Olkin试验和Bartlett球度试验证实了分解的质量。通过建立描述营商便利度与上述指标依赖关系的多个计量模型,以及《统计图形》19中采用的后向逐步选择硬筛选程序,构建了一个数字发展对营商便利度影响的统计显著模型。它表明,数字化发展的价值每增加1%,营商便利度也将增加0.79%。所获得的结果对科学家进行进一步的研究,以及教育和商业领域的变革者以及“商业教育”竞争方向的所有利益相关者都是有用的。
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Effect of Education on Ease of Doing Business in Conditions of Innovation Development: Factor Analysis and Multiple Regression
Education accelerates changes and transformations in social life, as well as one of the main factors of progress and development in general and business. The article substantiates and formalises the relationships between indicators of the level of education (taking into account its innovative development) and the ease of doing business based on evidence from 28 world countries and the data from the World Bank, the United Nations, Tufts University and Standard & Poor’s Ratings Services. The article aims to find indicators of innovative education that most significantly contribute to the ease of doing business. For this, cognitive analysis of statistical data is carried out, and with the help of descriptive analysis tools, a statistically significant characteristic space of indicators is formed. Checking the density and direction of the relationship is carried out by calculating the values of the Pearson correlation coefficients. The multidimensionality of input feature space is reduced to the four most significant indicators from nine investigated ones (digital development indicator; human development index; digital trust, financial literacy index) using the procedure of principal component analysis and orthogonal transformation using the Varimax method in the Statgraphics Centurion 19 software. The quality of the factorisation is confirmed by Kaiser-Meier-Olkin testing and Bartlett’s sphericity testing. As a result of the developed multiple econometric models, which describe the dependence of ease of doing business and the above indicators, and the Backward Stepwise Selection hard screening procedure in Statgraphics 19, a statistically significant model of the effect of digital development on ease of doing business is built. It shows that with the value increase of digital development by 1%, ease of doing business will also increase by 0.79%. The obtained results can be useful to scientists for further research, as well as to change-makers in education and business and all stakeholders in the direction of «business–education» competition.
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