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我国民办高等学校区域分布、时间变化及其影响因素分析
引用本文:阎凤桥.我国民办高等学校区域分布、时间变化及其影响因素分析[J].民办教育研究,2007(1).
作者姓名:阎凤桥
作者单位:北京大学教育经济研究所 北京100871
摘    要:民办高等学校数是衡量我国民办高等教育发展状况的一个重要指标。以往的研究证明,经济发展和公立高等教育发展是影响民办高等教育发展的两个重要因素。本文建立了以民办高等学校数为因变量,以GDP和公立普通高等学校数为自变量的回归模型,并利用我国31个省、自治区和直辖市2002年、2005年和2006年的有关数据,对回归模型进行了统计分析,结果表明民办普通高等学校区域分布及其时间变化受GDP及其变化的显著影响;独立学院区域分布受公立普通高等学校数的显著影响;民办高等学校区域分布及其时间变化同时受GDP和公立普通高等学校数及其变化的显著影响。以市为单位进行的分析发现,以省为单位的分析结果会低估公立普通高等学校对于民办普通高等学校的积极影响。

关 键 词:民办高等学校  区域分布  时间变化  影响因素  统计分析

An Analysis of the Factors Influencing the Distribution of Private Higher Education Institutions across Provinces and over Time
Yan Fengqiao.An Analysis of the Factors Influencing the Distribution of Private Higher Education Institutions across Provinces and over Time[J].Private Education Research,2007(1).
Authors:Yan Fengqiao
Abstract:The number of private higher education institutions (HEIs) is a crucial indicator for the development of private higher education in China.Previous research shows that economy and public higher education are two factors that can explain the expansion of private higher education sector.A statistical model has been developed with the number of private HEIs as dependent variable,GDP and the number of public HEIs as independent variables.By employing relevant data in 2002,2005 and 2006,three hypotheses have been tested.The major findings are as follows.Firstly,the number of private ordinary HEIs and its chronological change are significantly affected by GDP and its chronological change respectively;secondly,the number of independent colleges is significantly affected by the number of public ordinary HEIs;thirdly,the number of HEIs and its chronological change is significantly affected by both GDP and the number of public ordinary HEIs and their chronological changes respectively.It is also found that the impact of public ordinary HEIs on private ordinary HEIs is underestimated if analysis is conducted at provincial level rather than city level.
Keywords:private higher education institutions  provincial distribution  chronological change  factors  statistical analysis
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