本文選題：集群創(chuàng)新能力 + 創(chuàng)新影響因素��； 參考：《華南理工大學(xué)》2014年碩士論文

【摘要】：集群創(chuàng)新是區(qū)域經(jīng)濟(jì)保持競(jìng)爭(zhēng)優(yōu)勢(shì)和升級(jí)的戰(zhàn)略選擇，也是區(qū)域創(chuàng)新能力整合的后發(fā)優(yōu)勢(shì)。然而，集群創(chuàng)新是一個(gè)復(fù)雜、集成的創(chuàng)新網(wǎng)絡(luò)系統(tǒng)，要使創(chuàng)新網(wǎng)絡(luò)系統(tǒng)可視化，必須把集群創(chuàng)新網(wǎng)絡(luò)系統(tǒng)的子系統(tǒng)進(jìn)一步的優(yōu)化。由于集群區(qū)域的社會(huì)協(xié)同要素是多元化的交互作用下發(fā)生協(xié)同影響的，因此，我們需要把集群創(chuàng)新的創(chuàng)新能力和創(chuàng)新影響因素的子網(wǎng)絡(luò)系統(tǒng)做進(jìn)一步的細(xì)化。面對(duì)廣東省中小產(chǎn)業(yè)集群創(chuàng)新升級(jí)的局面，本文研究首先通過(guò)文獻(xiàn)回顧的方法闡述了國(guó)內(nèi)外研究產(chǎn)業(yè)集群創(chuàng)新能力及影響因素的進(jìn)展情況，還展開(kāi)了產(chǎn)業(yè)集群、產(chǎn)業(yè)集群創(chuàng)新能力、產(chǎn)業(yè)集群創(chuàng)新影響因素、內(nèi)生型產(chǎn)業(yè)集群及集群創(chuàng)新的相關(guān)概念研究，還有就是對(duì)內(nèi)生型產(chǎn)業(yè)集群的基本特征做了系統(tǒng)化梳理。 文章主要是針對(duì)廣東省專業(yè)鎮(zhèn)創(chuàng)新效率進(jìn)行評(píng)價(jià)，通過(guò)查閱廣東統(tǒng)計(jì)年鑒2012、廣東科技年鑒、中國(guó)火炬統(tǒng)計(jì)年鑒及廣東省科學(xué)技術(shù)廳得到廣東省專業(yè)鎮(zhèn)的客觀有效數(shù)據(jù)來(lái)進(jìn)行實(shí)證分析，還對(duì)廣東省多個(gè)專業(yè)鎮(zhèn)發(fā)放了關(guān)于廣東省專業(yè)鎮(zhèn)創(chuàng)新能力及創(chuàng)新影響因素的調(diào)查問(wèn)卷，并對(duì)收集來(lái)的主觀數(shù)據(jù)進(jìn)行了實(shí)證分析。 文章選用DEA分析軟件DEAP2.1進(jìn)行客觀數(shù)據(jù)處理，得出廣東省20個(gè)地級(jí)市2009年專業(yè)鎮(zhèn)科技創(chuàng)新投入產(chǎn)出效率情況，，計(jì)算出綜合效率值、純技術(shù)效率值和規(guī)模效率值，得出了為廣東省20個(gè)地市科技創(chuàng)新投入產(chǎn)出效率評(píng)價(jià)得分。通過(guò)實(shí)證研究綜合分析發(fā)現(xiàn)，規(guī)模效率不優(yōu)造成了廣東省專業(yè)鎮(zhèn)科技創(chuàng)新綜合效率不高，廣東省專業(yè)鎮(zhèn)科技創(chuàng)新綜合效率不高的主要原因是規(guī)模效率不優(yōu)，可能是由于科技資源投入浪費(fèi)，或者資源利用率不高等內(nèi)部影響因素導(dǎo)致了經(jīng)營(yíng)成本有逐漸變高的趨勢(shì)，因而產(chǎn)出沒(méi)有達(dá)到最優(yōu)的狀態(tài)。文章選用spss19.0統(tǒng)計(jì)軟件對(duì)產(chǎn)業(yè)集群創(chuàng)新能力及影響因素的調(diào)查問(wèn)卷數(shù)據(jù)做了實(shí)證分析，數(shù)據(jù)分析包括描述性分析、信度分析、主成分分析、Pearson相關(guān)分析、多元回歸分析，最后得出了產(chǎn)業(yè)集群創(chuàng)新能力與創(chuàng)新影響因素的回歸方程組。說(shuō)明組織型因素、外部綜合型與知識(shí)資本型因素、集群企業(yè)軟因素與被解釋變量集群創(chuàng)新綜合能力集的線性關(guān)系是積極顯著的，外部綜合型與知識(shí)資本型因素、集群企業(yè)軟因素與被解釋變量集群創(chuàng)新管理能力集的關(guān)系是積極顯著的。
[Abstract]:Cluster innovation is a strategic choice for regional economy to maintain competitive advantage and upgrade, and it is also a late-development advantage of regional innovation ability integration.However, the cluster innovation is a complex and integrated innovation network system. In order to visualize the innovation network system, the subsystem of the cluster innovation network system must be further optimized.Because the social synergy factor of cluster region is affected by the interaction of diversity, we need to further refine the innovation ability of cluster and the sub-network system of innovation influence factor.In the face of the situation of innovation and upgrading of small and medium-sized industrial clusters in Guangdong Province, this paper firstly expounds the progress of domestic and foreign research on the innovation ability and influencing factors of industrial clusters through the method of literature review, and also develops industrial clusters.The innovation ability of industrial cluster, the influencing factors of industrial cluster innovation, the related concepts of endogenous industrial cluster and cluster innovation, and the basic characteristics of endogenous industrial cluster are systematically combed out.This article is mainly aimed at the evaluation of the innovation efficiency of Guangdong specialized towns, and through consulting Guangdong Statistical Yearbook 2012, Guangdong Science and Technology Yearbook,The China Torch Statistical Yearbook and the Guangdong Provincial Department of Science and Technology obtained objective and effective data from specialized towns in Guangdong Province for empirical analysis.A questionnaire about innovation ability and influencing factors of professional towns in Guangdong province is given, and the subjective data collected are analyzed empirically.In this paper, DEA analysis software DEAP2.1 is used to process the objective data, and the input-output efficiency of science and technology innovation in 20 prefectural cities in Guangdong Province in 2009 is obtained. The comprehensive efficiency value, pure technical efficiency value and scale efficiency value are calculated.The evaluation scores for the input-output efficiency of scientific and technological innovation in 20 cities of Guangdong Province were obtained.Through the comprehensive analysis of empirical research, it is found that the scale efficiency is not good enough, and the main reason for the low comprehensive efficiency of Guangdong specialized town science and technology innovation is that the scale efficiency is not good.It may be that internal factors such as the waste of scientific and technological resources or the low utilization rate of resources lead to a trend of higher operating costs, so that the output does not reach the optimal state.This paper uses the spss19.0 statistical software to do the empirical analysis to the industrial cluster innovation ability and the influence factor questionnaire data, the data analysis includes descriptive analysis, reliability analysis, principal component analysis, Pearson correlation analysis, multiple regression analysis.Finally, the regression equations of innovation ability and innovation influencing factors of industrial clusters are obtained.It shows that the linear relationship between organizational factor, external comprehensive factor and knowledge capital factor, soft factor of cluster enterprise and the comprehensive ability set of explained variable cluster innovation is positive and significant, and the external comprehensive factor and knowledge capital type factor.The relationship between the soft factors and the cluster innovation management ability set of explained variables is positive and significant.
【學(xué)位授予單位】：華南理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：F276.3;F273.1

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