Rational Thinking on the Unbalanced Flow of University Teachers
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摘要: 建国70多年来,我国高校教师流动总体经历了“政府主导”“市场参与”“市场引导”及“市场主导”等四个阶段,从最开始的各层次人才职业间的明显流动到现今的高层次人才职业内的明显流动,我国高校间人才流动的“马太效应”及“优势累积效应”愈发明显。高校教师职业内流动的失衡,主要是由地区发展不均衡累积、评估指标长期量化、教师荣责机制建设不足、地方性支持政策建设缺乏及人才培养内部机制缺失等造成的。基于上述症结,可以考虑从以荣誉感内生责任感、形成校内人才培养机制,以政策支持为依托、规划人才需求与引进,以差异化评估指标为导向、建立分类考核评估机制三方面出发来予以治理。Abstract: Over the past 70 years since the founding of the People’ s Republic of China, the flow of college teachers in my country has generally gone through four stages: “government-led” “market participation” “market guidance” and “market-led” . From the initial obvious flow of talents at all levels to the obvious flow within the current high-level talent occupations, the “Matthew Effect” and “Cumulative Advantage Effect” in the flow of talents between colleges and universities in our country have become more apparent.The imbalance of the flow of teachers in colleges and universities, it is mainly caused by the uneven accumulation of regional development, the long-term quantification of evaluation indicators, the insufficient construction of teachers’ responsibilities and responsibilities, the lack of local support policy construction, and the lack of internal mechanisms for talent training. Based on the above crux, we can consider starting from a sense of honor and endogenous responsibility, forming a talent training mechanism in the school, relying on policy support, planning talent demand and introduction, guided by differentiated evaluation indicators, and establishing a classification assessment and evaluation mechanism.
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Key words:
- university teacher /
- flow /
- imbalance /
- governance
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表 1 2013—2018年部分省份一般公共预算经费投入
单位:亿元 年份 广东 安徽 甘肃 2013 1617.48 731.51 376.17 2014 1779.50 743.07 401.10 2015 2042.84 856.73 499.85 2016 2243.90 910.87 548.78 2017 2522.55 1012.52 567.36 2018 2805.31 1111.49 592.96 数据来源:教育部财政司,下同。 表 2 2008—2018年部分省份高等院校生均一般公共预算教育事业费
单位:元 年份 全国 广东 安徽 甘肃 2008 7577.71 10622.18 4078.57 5979.94 2009 8542.30 10914.96 4422.34 5979.18 2010 9589.73 11200.22 4854.69 6868.73 2011 13877.53 11837.00 8886.74 9347.65 2012 16367.21 13225.21 12152.91 11235.89 2013 15591.72 14186.45 10102.66 10497.46 2014 16102.72 14361.68 11235.56 12179.37 2015 18143.57 17823.43 12253.01 15537.85 2016 18747.65 20398.26 12786.08 18053.38 2017 20298.63 24149.23 14389.81 19841.84 2018 20973.62 25877.26 15466.38 20700.95 -
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