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贵州省高校科技竞争力发展的实证研究——基于西部地区高校的比较 被引量:1

Empirical Study on the Science and Technology Competitiveness Development of Universities in Guizhou Province——Based on a comparison of Western Colleges
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摘要 高校科技竞争力作为影响高校综合实力和高等教育质量的关键因素,是高校科技环境与基础、科技投入、科技产出和科技转化等因素的综合。本文通过构建高校科技竞争力评价指标体系并运用主成分分析法,对2007-2013年西部12个省市高校科技竞争力的发展变化趋势进行综合评价,根据评价结果并基于各维度指标具体比较研究贵州省高校的科技竞争力发展状况。结果显示,从2007年至2013年,贵州省高校科技竞争力稳步提高但依然落后,在未来的发展中,应该从拓宽科技投入渠道;调整学科结构,加强优势学科建设;优化高校科技环境,加强科技基础建设;合理定位高校角色,提高科技转化能力等几方面入手,提升贵州省高校科技竞争力。 As a key factor affecting the overall strength of universities and higher education quality, science and technology competitiveness is the integration of universities' technological environment and infrastructure, science and technology inputs and outputs, technology transformation as well as other factors. By building assessment indicating system and using principal component analysis (PCA), this paper makes comprehensive assessments on the developing tendency of university technology competitiveness in 12 western provinces from 2007 to 2013, according to which, specific compara- tive study is made on the developing situation of university technology competitiveness in Guizhou province based on each dimensional index. The result indicates that, from 2007 to 2013, university technology competitiveness in Guizhou prov- ince enhances steadily, but it still falls behind other provinces. Therefore, in the future development, to improve univer- sity technology competitiveness in Guizhou province, it should develop from the perspectives of broadening scientific and technological input channels, adjusting division of disciplines, strengthening preponderant discipline construction, optimizing college technological environment, reinforcing technological infrastructure, locating the role of universities reasonably, and enhancing the ability of technology transformation.
作者 徐鑫钰 黄江
出处 《贵州商业高等专科学校学报》 2015年第3期29-36,共8页 Journal of Guizhou Commercial College
关键词 西部地区 高校科技竞争力 主成分分析 评价指标 western region science and technology competitiveness of universities principal component analysis evaluation indicators
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