高校创新、产业创新与区域创新绩效的实证研究

发布时间：2018-04-18 10:04

本文选题：高校创新 + 产业创新　；参考：《曲阜师范大学》2017年硕士论文

【摘要】：高校、科研机构和高技术产业群的科技创新,对于促进经济转型、产业升级和社会发展具有重要作用,应提升产学研协同创新对区域创新的驱动作用。本文首先以28个省区及省区内高校作为研究对象,利用2004-2014年的省际面板数据,构建极值边界分析模型,对区域创新绩效中高校创新的作用进行了实证研究。其次以高技术产业为研究对象,利用2001-2014年高技术产业5大行业17个细分行业的经验数据构建面板门限模型,分别以市场竞争力水平、RD人力资本投入、RD资本投入、行业技术差距为门槛变量,探究了FDI对区域内高技术产业的技术溢出过程中是否存在门槛效应。最后从产学协同创新的视角提供相关政策建议。第一部分梳理了国内外学者关于高校创新、产业创新和区域创新绩效的学术研究成果,并对当前研究现状进行了简要分析。第二部分是对理论模型的构建。首先对高校创新对中影响创新效率的因素进行界定,并构建了极值边界分析的理论模型;其次,对影响高技术产业创新绩效的因素进行界定:市场竞争力水平、研发人力和资本存量、行业技术差距等,并以Hansen的面板门槛效应模型为基础构建了理论模型。第三部分实证分析了高校创新对区域创新绩效的作用。结果显示,高校创新对创新绩效的影响存在着明显的区域差异。高校科研经费支出水平对三大经济创新绩效均具有显著影响,但高校科研人力投入和高校科技国际交流与合作对区域创新并无显著影响;高校科研基础设施建设仅对中部和西部地区创新能力有显著正向影响,东部地区不明显;高校原始创新能力仅在东、中部地区发挥作用,西部地区不显著;高校科技成果转化仅对中部地区创新有显著提升作用,东、西部地区不显著。第四部分实证分析了以高技术产业为代表的企业创新过程中是否存在门槛效应。结果显示,市场竞争力水平、吸收能力、行业技术差距等因素对于创新效率的影响存在双重门槛效应。市场竞争力只有超过了0.125,外商直接投资对于高技术产业的技术溢出,才会明显;RD人力资本投入应适当投入,当超过了11.369后,会产生拥挤效应;考察的所有门槛变量中,RD资本投入是与高技术产业技术溢出效应最为密切联系的变量;高技术产业只有在达到一定规模的行业技术差距后,才会出现明显的技术外溢效应。第五部分根据实证研究的结论提出对策和建议,这对于促进创新主体多元化,推进经济增长方式的转变有一定的参考价值。
[Abstract]:The scientific and technological innovation of universities, scientific research institutions and high-tech industrial clusters plays an important role in promoting economic transformation, industrial upgrading and social development.In this paper, 28 provinces, autonomous regions and universities are taken as the research objects. Using the inter-provincial panel data from 2004 to 2014, a model of extreme boundary analysis is constructed, and an empirical study on the role of university innovation in the performance of regional innovation is carried out.Secondly, taking high-tech industry as the research object, using the experience data of 17 subdivision industries in 5 major industries of high-tech industry from 2001 to 2014, the panel threshold model is constructed, and the R D human capital input is taken as the level of market competitiveness, respectively.The industrial technology gap is the threshold variable, and the threshold effect is explored in the process of FDI spillover to the high-tech industry in the region.Finally, it provides relevant policy suggestions from the perspective of collaborative innovation of industry and learning.The first part reviews the academic research results of university innovation, industrial innovation and regional innovation performance, and briefly analyzes the current research situation.The second part is the construction of theoretical model.Firstly, the paper defines the factors that affect the efficiency of innovation in colleges and universities, and constructs the theoretical model of extreme value boundary analysis. Secondly, it defines the factors that affect the innovation performance of high-tech industries: the level of market competitiveness.Based on the panel threshold effect model of Hansen, the theoretical model is constructed based on R & D manpower and capital stock, industry technology gap and so on.The third part empirically analyzes the effect of university innovation on regional innovation performance.The results show that there are obvious regional differences in the impact of innovation on innovation performance.The level of expenditure on scientific research has a significant impact on the performance of the three major economic innovation, but the investment of scientific research manpower and international exchange and cooperation of university science and technology have no significant impact on regional innovation.The construction of scientific research infrastructure in colleges and universities only has a significant positive impact on the innovation ability in the central and western regions, but not in the eastern region, while the original innovation ability of colleges and universities only plays a role in the east and the central region, but not in the western region.The transformation of scientific and technological achievements in colleges and universities can only promote innovation in the central region, but not in the east and west regions.The fourth part empirically analyzes whether the threshold effect exists in the innovation process of high-tech industry.The results show that there are double threshold effects on innovation efficiency due to market competitiveness, absorptive capacity and industry technology gap.Only when the competitiveness of the market exceeds 0.125, the technology spillover of foreign direct investment to the high-tech industry will obviously lead to the appropriate input of R D human capital, and when it exceeds 11.369, it will produce the crowding effect;Among all the threshold variables, R D capital input is the most closely related to the technology spillover effect of high-tech industry.The fifth part puts forward the countermeasures and suggestions according to the conclusion of the empirical research, which has certain reference value for promoting the diversification of innovation subjects and promoting the transformation of economic growth mode.
【学位授予单位】：曲阜师范大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F124.3;G644

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