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我国中等职业教育经费投入效率及影响因素分析--基于DEA-Malmquist指数模型与空间面板计量模型 被引量:15

Analysis of the Investment Efficiency and Influencing Factors of Secondary Vocational Education in China——Based on DEA-Malmquist Index Model and Spatial Panel Metering Model
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摘要 通过建立投入产出指标,运用DEA-Malmquist指数方法对2000-2014年全国31省(市、自治区)的面板数据进行分析,研究发现:我国中等职业教育经费投入效率呈技术进步主导的趋势,广东为高增长型区域且经费投入效率最高,北京中等职业教育经费投入效率最低,辽宁等14省为徘徊型区域,江苏等12省为低增长型区域。中等职业教育经费投入效率存在空间依赖性,其中生均事业性教育经费和生均基本建设经费对教育经费投入具有明显的正向促进作用,但区域经济发展水平对经费投入存在极弱促进作用值得引起重视。 Through the establishment of input-output index, using DEA-Malmquist index method and panel data of 31 provinces(municipalities and autonomous regions) in China from 2000 to 2014, it is found that the investment efficiency of secondary vocational education in China is the dominant trend of technological progress. Guangdong is the high growth area and the highest efficiency of investment. Morever, Beijing secondary vocational education funding has the lowest efficiency, Liaoning and other 14 provinces are the wandering area, Jiangsu and other 12 provinces are the low growth area. There are spatial dependencies in the efficiency of funding for secondary vocational education, especially the expenditure on capital education and the capital expenditure of the students have a positive effect on the investment of education. However, the level of regional economic development is worthy of attention.
作者 蔡文伯 翟柳淅 Cai Wengbo;Zhai Liuxi(professor of Shihezi University,Shihezi 832003;master graduate student of Shihezi Universit)
出处 《职业技术教育》 北大核心 2018年第1期55-59,共5页 Vocational and Technical Education
基金 国家自然科学基金项目“新疆少数民族高等教育优惠政策的失衡与优化研究”(71663044),主持人:蔡文伯
关键词 中等职业教育 经费投入效率 DEA-MALMQUIST指数 空间计量 影响因素 secondary vocational education funding eflficiency DEA-Malmquistindex spatial measurement influencing factors
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