面向供给侧改革的教育战略对策研究——基于31个省级教育财政投入面板数据的建模分析

发布时间：2018-01-20 00:56

本文关键词： 教育财政支出经济增长弹性区域经济供给侧改革　出处：《技术经济与管理研究》2017年07期 　论文类型：期刊论文

【摘要】：文章基于1998-2014年全国31个省级地区教育财政投入面板数据,采用固定影响变系数模型,对东北、西北、西南、华北、华东、华中和华南地区及相应省级区域的教育投入对经济增长影响进行了研究,得出结论:东北地区教育财政投入的经济增长弹性最高,再依次为西北地区、西南地区等,最小的为华南地区,且教育财政投入占GDP的平均比重最高的是西南地区,最低的是华东地区。据此提出如下政策建议:根据供给侧改革的方向需要调整完善教育振兴政策、促进与符合城市及区域持续经济发展的产业链上企业的深度合作、提升科研转化为生产力的速度及水平、提高学校与社会的接轨程度、提升专业服务社会水平等,以期实现教育与各区域供给侧改革的协调性以及推动经济增长的目的。
[Abstract]:Based on the panel data of education financial input in 31 provincial regions of China from 1998 to 2014, this paper adopts the fixed influence variable coefficient model to study the effects on Northeast, Northwest, Southwest, North China and East China. The effect of education investment on economic growth in central and southern China and the corresponding provincial regions is studied. The conclusion is that the northeast region has the highest elasticity of economic growth, followed by the northwest region. In Southwest China, the smallest is in South China, and the average proportion of educational financial investment in GDP is the highest in Southwest China. The lowest is East China. Accordingly, the following policy recommendations are put forward: according to the direction of supply-side reform, we need to adjust and improve the policy of education revitalization. To promote the deep cooperation with the enterprises in the industrial chain in line with the sustained economic development of cities and regions, to improve the speed and level of scientific research into productive forces, and to improve the degree of convergence between schools and society. In order to realize the coordination of education and regional supply-side reform and the purpose of promoting economic growth.
【作者单位】：无锡环境科学与工程研究中心;复旦大学;浙江财经大学财政与公共管理学院;
【基金】：江苏省企业创新调查省级重点课题(苏统公告[2015]05号) 江苏省高校哲学社会科学基金项目(2016SJD79002) 江苏省教育科学“十三五”规划2016年度课题立项课题(D/2016/03/04)
【分类号】：F812.45;G526.7
【正文快照】： 一、引言教育能够给国家的经济发展带来所需要的人才,提出创新性的思维,为社会带来创新活力,为企业提供科技研发的源泉。所以教育的发达程度对于一个地区乃至一个国家的经济发展起3.浙江财经大学财政与公共管理学院,浙江杭州310018)图1 Hausman Test结果Correlated Random Eff

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