首页|我国中等职业教育投入产出效率及其影响因素研究——基于2011-2021年省际面板数据的随机前沿分析

我国中等职业教育投入产出效率及其影响因素研究——基于2011-2021年省际面板数据的随机前沿分析

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采用面板随机前沿模型,对我国31个省份2011-2021年中等职业教育的投入产出效率进行评估,并在此基础上探索了其受到哪些因素的影响,结果表明:①我国中等职业教育的整体产出效率、人才质量产出和人才数量产出效率均处于高位水平,但均呈下降趋势。②省域中等职业教育投入产出效率处于优质均衡状态,但省域之间仍存在一定差距,总体呈现出西部>中部>东部的空间特征。③除投入相关变量外,专任教师中研究生比例、专任教师中高级职称比例、教育经费收入中财政性经费比例、教育事业费支出中公用比例、固定资产中教学与实习仪器总值比例对提升中等职业教育投入产出效率具有显著正向影响。在此基础上,提出切实提升中等职业教育吸引力、加快推进师资队伍高质量建设、健全经费投入机制、多途径提升改善学校教学实习硬件条件等建议。
Research on Input-Output Efficiency and Influencing Factors of Secondary Vocational Education in China——Stochastic Frontier Analysis Based on Inter Provincial Panel Data from 2011 to 2021
Using the panel stochastic frontier model,this paper evaluates the input-output efficiency of secondary vocational education in 31 provinces of China from 2011-2021,and explores what factors af-fect it on this basis.The results show that:①The overall output efficiency,talent quality output,and talent quantity output efficiency of secondary vocational education in China are all at a high level,but all show a downward trend.②The input-output efficiency of secondary vocational education in provincial areas is in a high-quality and balanced state,but there is still a certain gap between provinces,showing an overall spa-tial characteristic of western>central>eastern.③In addition to investment related variables,the proportion of graduate students among full-time teachers,the proportion of senior professional titles among full-time teachers,the proportion of fiscal funds in education revenue,the proportion of public funds in education ex-penses,and the proportion of total value of teaching and internship instruments in fixed assets have a signifi-cant positive impact on improving the input-output efficiency of secondary vocational education.On this ba-sis,suggestions are proposed to effectively enhance the attractiveness of secondary vocational education,ac-celerate the high-quality construction of the teaching staff,improve the funding mechanism,and improve the hardware conditions of school teaching internships through multiple channels.

secondary vocational educationoutput efficiencyinfluencing factorsstochastic frontier model

李维、杨顺艳、刘方园

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贵州师范大学

厦门大学教育研究院

中等职业教育 产出效率 影响因素 随机前沿模型

福建省社会科学基金青年项目贵州省高等学校人文社会科学研究项目贵州省高等学校人文社会科学研究项目

FJ2021C1162023GZGXRW0312024RW250

2024

中国职业技术教育
教育部职教中心研究所 中国职业技术教育学会 高等教育出版社 北京师范大学

中国职业技术教育

CSTPCD北大核心
影响因子:1.285
ISSN:1004-9290
年,卷(期):2024.(9)
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