RBF模型在高等教育和经济发展关系分析中的应用
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摘要
采用RBF(径向基神经网络)模型,对高等教育和经济发展之间的关系进行实证研究.在研究过程中,以本科生招考数量、研究生招考数量、高等教育投入经费作为RBF网络的输入,以GDP总量作为RBF网络的输出,以2000-2017年的相关数据为实证研究的基础数据.实证分析结果显示,高等教育对于我国经济发展存在明显的促进作用,其中本科生招考数量的促进作用为0.23,研究生招考数量的促进作用为0.45,高等教育投入经费的促进作用为0.32.
The level of economic development of a country depends on the level and quantity of its talents. Therefore, there is a close relationship between higher education and economic development through personnel training. In this paper, RBF radial basis function network has been used to study the relationship between higher education and economic development. In the research process, the number of undergraduate enrollment, postgraduate enrollment and higher education investment are taken as the input of RBF network, the total GDP as the output of RBF network, and the relevant data from 2000 to 2017 are taken as the basic data for empirical research. The results of empirical analysis show that higher education plays an important role in promoting China's economic development. Among them, the number of undergraduate students enrollment is 0.13, the number of postgraduate students enrollment is 0.25 and the investment in higher education is 0.22.
The level of economic development of a country depends on the level and quantity of its talents. Therefore, there is a close relationship between higher education and economic development through personnel training. In this paper, RBF radial basis function network has been used to study the relationship between higher education and economic development. In the research process, the number of undergraduate enrollment, postgraduate enrollment and higher education investment are taken as the input of RBF network, the total GDP as the output of RBF network, and the relevant data from 2000 to 2017 are taken as the basic data for empirical research. The results of empirical analysis show that higher education plays an important role in promoting China's economic development. Among them, the number of undergraduate students enrollment is 0.13, the number of postgraduate students enrollment is 0.25 and the investment in higher education is 0.22.
引文
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[10] 樊星,马树才.中国区域高等教育对经济增长贡献率的时空特征研究——基于中国省域面板数据的实证分析 [J].中国高教研究,2017(8):74-79,84.
[11] 李毅,姜天英,刘振国.基于DEA分析的中部六省高等教育与经济发展的关系研究 [J].黑龙江高教研究,2017,35(3):72-76.
[12] 崔玉平,王小婷.基于CES函数模型估算黑龙江省高等教育对经济增长量的贡献 [J].黑龙江高教研究,2017,35(3):58-62.
[2] 鲁世林.以国家中心城市为核心建设世界一流高等教育城市群初探——面向2030年高等教育与经济社会协同发展战略研究 [J].现代教育管理,2017(12):33-39.
[3] NAGY J T.Using Learning Management Systems in Business and Economics Studies in Hungarian Higher Education [J].Education and Information Technologies,2016,21(4):897-917.
[4] HUDSON R.Dominated by Economics?Evidence of Changing Drivers of Internationalization and Its Funding within Higher Education Institutions in Europe [J].Higher Education Policy,2016,29(1):1-19.
[5] OJO E,BOOTH S,WOOLLACOTT L.Faculty's Conceptions of Teaching Introductory Economics in Higher Education:A Phenomenographic Study in a South African Context [J].International Review of Economics Education,2018,14(6):758-763.
[6] 周茜,葛扬,刘雅晴.高等教育与经济增长的协同发展路径探索——以江苏省为例 [J].现代管理科学,2017(8):27-29.
[7] 丁三青.共轭:教育经济学研究的新探索——读刘林博士的《高等教育与人才集聚两种投入对区域经济增长的共轭驱动研究》 [J].教育经济评论,2017(4):123-128.
[8] DOCKERY A M,SEYMOUR R,KOSHY P.Promoting Low Socio-Economic Participation in Higher Education:A Comparison of Area-Based and Individual Measures [J].Studies in Higher Education,2016,41(9):1692-1714.
[9] 胡德鑫.国际比较视野下我国高等教育对经济增长的贡献研究——基于1996-2014年的数据 [J].现代教育管理,2017(9):41-46.
[10] 樊星,马树才.中国区域高等教育对经济增长贡献率的时空特征研究——基于中国省域面板数据的实证分析 [J].中国高教研究,2017(8):74-79,84.
[11] 李毅,姜天英,刘振国.基于DEA分析的中部六省高等教育与经济发展的关系研究 [J].黑龙江高教研究,2017,35(3):72-76.
[12] 崔玉平,王小婷.基于CES函数模型估算黑龙江省高等教育对经济增长量的贡献 [J].黑龙江高教研究,2017,35(3):58-62.