长三角地区高等教育与经济协调发展研究
发布时间:2018-08-17 15:42
【摘要】:高等教育作为社会的上层建筑,是社会体系的一个子系统,它必然与社会经济发生千丝万缕的联系,不断适应政治、经济发展提出的要求。高等教育是经济增长的“筋”和“骨”,教育经济问题日益成为国内外学者们研究的热点问题。长三角地区是我国经济实力最强劲、最具活力、总量规模最大的地区之一,并且教育综合实力在国内名列前茅,本文采用定性和定量分析相结合的方法,结合1986-2009年的相关数据,研究长三角地区高等教育与经济增长的协调发展问题,为教育改革提供一定的政策建议。 本文在诸多学者关于高等教育与经济协调发展研究的基础上,主要研究三个问题:高等教育与经济增长之间的相关性,怎样建立能够反映高等教育与经济增长水平的指标体系;高等教育与经济增长的互动关系和协整关系如何;高等教育对经济增长的贡献和协调度。 首先针对第一个问题,采用典型相关分析法,得出长三角地区高等教育与经济增长之间存在正相关关系,典型相关系数为0.999972,并建立了反映高等教育发展和经济增长的指标体系,其中,影响高等教育发展的主要因素是在校生数、RD课题经费投入和生师比,反映经济增长的主要因素是人均GDP和地方财政支出。 其次针对第二个问题,采用Granger因果关系检验法和协整分析,得出高等教育是经济增长变动的Granger原因,经济增长也是高等教育变动的Granger原因。高等教育与经济增长之间存在长期的均衡关系,江苏省和浙江省二者之间的短期关系显著成立,但上海市的短期模型通不过检验,即短期关系不显著。 针对第三个问题,建立DEA模型评价长三角地区高等教育对经济增长贡献的有效性,结果表明,上海市和浙江省每年高等教育对经济增长的贡献是DEA有效的,江苏省是DEA无效的。进一步地,本文建立灰色关联分析模型,对长三角地区高等教育与经济增长之间的协调度进行了实证研究。结果表明,在五个“五年计划”时期及1986-2009年间高等教育与经济增长之间呈现协调状态,,上海市、江苏省、浙江省高等教育与经济增长的协调度依次为0.796、0.803、0.798,协调性好坏排名是:江苏省、浙江省、上海市。 最后,在实证分析的基础上,从教育投入、特色教育发展道路、扶持民办高校、产学研相结合四个方面提出建议。
[Abstract]:As the superstructure of the society, higher education is a subsystem of the social system, which is bound to be inextricably linked with the social economy and constantly adapts to the demands of political and economic development. Higher education is the "tendons" and "bones" of economic growth. The Yangtze River Delta region is one of the most powerful, dynamic and total economic regions in China, and the comprehensive strength of education is among the highest in China. This paper adopts the method of combining qualitative and quantitative analysis, and combines the relevant data from 1986 to 2009. This paper studies the coordinated development of higher education and economic growth in the Yangtze River Delta, and provides some policy suggestions for the educational reform. On the basis of many scholars' researches on the coordinated development of higher education and economy, this paper mainly studies three questions: the correlation between higher education and economic growth, how to establish an index system that can reflect the level of higher education and economic growth; What is the interactive and cointegration relationship between higher education and economic growth, and the contribution and coordination of higher education to economic growth. In view of the first problem, the canonical correlation analysis method is used to obtain the positive correlation between higher education and economic growth in the Yangtze River Delta region. The canonical correlation coefficient is 0.999972, and the index system reflecting the development of higher education and economic growth is established. Among them, the main factors that affect the development of higher education are the number of students in the school and the R D project expenditure and the ratio of students to teachers. The main factors reflecting the economic growth are the per capita GDP and the local financial expenditure. Secondly, by using Granger causality test and cointegration analysis, it is concluded that higher education is the Granger cause of economic growth and economic growth is Granger reason of higher education change. There is a long-term equilibrium relationship between higher education and economic growth. The short-term relationship between Jiangsu province and Zhejiang province is obvious. However, the short-term model of shanghai can not pass the test, that is, the short-term relationship is not significant In view of the third problem, DEA model is established to evaluate the contribution of higher education to economic growth in Yangtze River Delta. The results show that the contribution of higher education to economic growth in Shanghai and Zhejiang Province is effective in DEA and DEA in Jiangsu Province. Furthermore, this paper establishes a grey relational analysis model and makes an empirical study on the coordination between higher education and economic growth in the Yangtze River Delta region. The results show that there is a coordinated state between higher education and economic growth in the five Five-Year Plan periods and 1986-2009, Shanghai, Jiangsu Province, Jiangsu Province, The degree of coordination between higher education and economic growth in Zhejiang Province is 0.796n0.8030.798.The coordination is ranked as follows: Jiangsu Province, Zhejiang Province, Shanghai City. Finally, on the basis of empirical analysis, this paper puts forward some suggestions from four aspects: education input, characteristic education development road, supporting private colleges and universities, combining production, learning and research.
【学位授予单位】:南京财经大学
【学位级别】:硕士
【学位授予年份】:2012
【分类号】:F224;G649.2;F127
[Abstract]:As the superstructure of the society, higher education is a subsystem of the social system, which is bound to be inextricably linked with the social economy and constantly adapts to the demands of political and economic development. Higher education is the "tendons" and "bones" of economic growth. The Yangtze River Delta region is one of the most powerful, dynamic and total economic regions in China, and the comprehensive strength of education is among the highest in China. This paper adopts the method of combining qualitative and quantitative analysis, and combines the relevant data from 1986 to 2009. This paper studies the coordinated development of higher education and economic growth in the Yangtze River Delta, and provides some policy suggestions for the educational reform. On the basis of many scholars' researches on the coordinated development of higher education and economy, this paper mainly studies three questions: the correlation between higher education and economic growth, how to establish an index system that can reflect the level of higher education and economic growth; What is the interactive and cointegration relationship between higher education and economic growth, and the contribution and coordination of higher education to economic growth. In view of the first problem, the canonical correlation analysis method is used to obtain the positive correlation between higher education and economic growth in the Yangtze River Delta region. The canonical correlation coefficient is 0.999972, and the index system reflecting the development of higher education and economic growth is established. Among them, the main factors that affect the development of higher education are the number of students in the school and the R D project expenditure and the ratio of students to teachers. The main factors reflecting the economic growth are the per capita GDP and the local financial expenditure. Secondly, by using Granger causality test and cointegration analysis, it is concluded that higher education is the Granger cause of economic growth and economic growth is Granger reason of higher education change. There is a long-term equilibrium relationship between higher education and economic growth. The short-term relationship between Jiangsu province and Zhejiang province is obvious. However, the short-term model of shanghai can not pass the test, that is, the short-term relationship is not significant In view of the third problem, DEA model is established to evaluate the contribution of higher education to economic growth in Yangtze River Delta. The results show that the contribution of higher education to economic growth in Shanghai and Zhejiang Province is effective in DEA and DEA in Jiangsu Province. Furthermore, this paper establishes a grey relational analysis model and makes an empirical study on the coordination between higher education and economic growth in the Yangtze River Delta region. The results show that there is a coordinated state between higher education and economic growth in the five Five-Year Plan periods and 1986-2009, Shanghai, Jiangsu Province, Jiangsu Province, The degree of coordination between higher education and economic growth in Zhejiang Province is 0.796n0.8030.798.The coordination is ranked as follows: Jiangsu Province, Zhejiang Province, Shanghai City. Finally, on the basis of empirical analysis, this paper puts forward some suggestions from four aspects: education input, characteristic education development road, supporting private colleges and universities, combining production, learning and research.
【学位授予单位】:南京财经大学
【学位级别】:硕士
【学位授予年份】:2012
【分类号】:F224;G649.2;F127
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