Performance Analysis of Public Investment in Chinese University Education Based on Regional Differences and Influencing Factors

Author:

Yu Yang1ORCID

Affiliation:

1. Sumy State University, Ukraine; Jiamusi University, China

Abstract

The main purpose of the research is to assess the current condition of public investment in higher education in various regions of China and identify the elements that influence the effectiveness of public investment in higher education. The objective is to propose recommendations for enhancing the performance management of public investments in higher education, balancing the financial expenditures of higher education in various regions, and fostering sustainable economic and social growth. This article presents the academic research findings of relevant researchers on higher education, public investment, performance, and educational performance, as well as performance management, public finance, regional economic growth, new public management, and human capital. Using the DEA data envelopment analysis model and the panel Tobit regression model, this article empirically analyzes the regional differences and influencing factors of the comprehensive efficiency (including pure technical efficiency and scale efficiency) of public investment in higher education in China from both dynamic and static perspectives, based on 29 provinces and cities and relevant statistical data from 2005 to 2017. Based on an analysis of current public investment in higher education in the eastern, central, and western regions of China, the article demonstrates that while the total amount of public investment in higher education has increased year by year, there are still significant differences between the total amounts of public investment in higher education in the eastern, central, and western regions. The scale of public investment in higher education is higher in the eastern region and lower in the central and western regions. Regarding the performance level of public investment in higher education, there is a significant gap among the three regions of eastern, central, and western China, with the central region being the highest, the eastern region being the second highest, and the western region being the lowest. There are differences in the factors affecting the performance of the public investment in higher education in the East, Central, and West. The Tobit panel regression model analysis shows that per capita regional GDP, human capital level, urbanization level, and the efficiency of public education in higher education are all positively correlated. In contrast, the student-teacher ratio and government financial resources are adversely correlated. Distinct variables influence Eastern, central, and western areas geographically. The article concludes with a summary of the research findings and policy recommendations, namely, improving the performance evaluation system of public investment in higher education, increasing government investment in higher education, balancing the financial expenditures of higher education in different regions, accelerating the reform of the higher education investment system, and expanding the sources of public investment in higher education.

Publisher

Academic Research and Publishing U.G.

Subject

General Medicine

Reference27 articles.

1. Chatterton, P., & Goddard, J. (2000). The response of higher education institutions to regional needs. European Journal of Education, 35(4), 475-496.

2. Cheng, J. (2012). Exploring the relationship between higher education and regional economic development. Academic Inquiry, 2, 167-170.

3. Du, P., & Gu, X. (2016). China higher education education per student: low level, slow growth, unbalanced. China Higher Education Research, 05, 46-52.

4. Feng, H., & Wang, Q. (2012). Analysis of higher education performance management system. China Higher Education, 07, 18-21.

5. Gao, Y., Gu, J.X., & Fang, P. (2013). A comprehensive evaluation of the coordination between higher education and regional economy in major cities of ten major urban clusters in China. Education Science, 29(3).

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3