基于扎根理論的國家自主創(chuàng)新示范區(qū)科技創(chuàng)新政策共詞網(wǎng)絡(luò)研究
發(fā)布時間:2018-03-05 05:04
本文選題:加權(quán)共詞網(wǎng)絡(luò) 切入點:扎根理論 出處:《中國科學(xué)技術(shù)大學(xué)》2017年碩士論文 論文類型:學(xué)位論文
【摘要】:本文在運用于政策分析的共詞網(wǎng)絡(luò)研究基礎(chǔ)上,提出了政策屬性與關(guān)鍵詞權(quán)重在網(wǎng)絡(luò)分析中的影響和作用,繼而將扎根理論、詞頻分析和政策測量方法等引入其中,通過定量與定性相結(jié)合的方法得到政策和關(guān)鍵詞的權(quán)重,從而建構(gòu)基于政策屬性與關(guān)鍵詞權(quán)重的復(fù)合賦權(quán)的共詞網(wǎng)絡(luò)模型。模型構(gòu)建之后,利用加權(quán)后的Ochiia系數(shù)計算關(guān)鍵詞之間的距離建構(gòu)關(guān)鍵詞矩陣。在案例分析的部分,將建構(gòu)的加權(quán)共詞網(wǎng)絡(luò)模型運用于收集整理的2011—2016年北京中關(guān)村、武漢東湖和上海張江三個國家級自主創(chuàng)新示范區(qū)頒布的科技創(chuàng)新政策,基于加權(quán)共詞矩陣分別進行結(jié)點分析和小團體分析,對比驗證了加權(quán)共詞網(wǎng)絡(luò)模型的可行性,同時在綜合視角下展現(xiàn)了自主創(chuàng)新示范區(qū)科技創(chuàng)新政策的現(xiàn)狀和不足,發(fā)現(xiàn)當前在科技金融、產(chǎn)業(yè)發(fā)展和人才吸引與培養(yǎng)等方面還存在改進空間,為后續(xù)的政策制定提供參考。
[Abstract]:On the basis of the study of cowords network applied in policy analysis, this paper puts forward the influence and function of policy attribute and keyword weight in network analysis, and then introduces the theory of taking root, word frequency analysis and policy measurement method into it. The weight of policy and key words is obtained by combining quantitative and qualitative methods, and then a coterm network model based on policy attribute and keyword weight is constructed. The weighted Ochiia coefficient is used to calculate the distance between keywords to construct the keyword matrix. In the part of case analysis, the weighted co-word network model is applied to Zhongguancun in Beijing from 2011-2016. The scientific and technological innovation policies promulgated by Wuhan East Lake and Shanghai Zhangjiang National Independent Innovation demonstration Zone are analyzed by node analysis and small group analysis based on weighted cowords matrix, respectively. The feasibility of weighted co-word network model is compared and verified. At the same time, it shows the present situation and deficiency of sci-tech innovation policy in the demonstration area of independent innovation from a comprehensive angle of view, and finds that there is room for improvement in science and technology finance, industrial development and talent attraction and training, which provides a reference for future policy formulation.
【學(xué)位授予單位】:中國科學(xué)技術(shù)大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:F124.3
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