基于空间异质性视角的显性知识与创新对经济增长影响的研究

发布时间：2018-06-02 19:26

本文选题：显性知识 + 创新　；参考：《哈尔滨工业大学》2015年硕士论文

【摘要】：在传统的区域经济学理论中普遍认同知识创新活动对经济增长至关重要的作用,知识基础对创新有着毋庸置疑的推动作用。然而,以往大量研究区域经济增长机制的文献中对于经济的空间因素往往采取回避态度,并不能全面考察知识、创新与经济增长的空间关系。此外,在传统的观念中,人们往往认为知识禀赋优势的区域在创新强度上同样具有优势,进而对于经济增长的贡献同样具有优势。鲜有文献从这个角度来分析知识与创新在区域层面对于经济增长的贡献作用是否存在空间上的匹配。本研究即是在这样的背景下开展具体的分析研究。首先从理论层面针对知识与创新的内涵进行界定,通过知识分解与创新来源分析、知识与创新的分离来分析显性知识与创新的空间逻辑,从理论分析、逻辑演绎以及实证检验多角度对显性知识与创新的空间匹配关系进行推理演绎并得到实际数据的验证。然后,科学合理的进行变量选取、度量指标的确立,将空间因素纳入到模型框架思路中,构建本研究的显性知识、创新与区域经济增长模型。在此基础上应用空间计量经济学分析方法进行实证分析与假设检验,探索空间层面下的显性知识、创新与区域经济增长的关系。结果表明区域经济存在空间依赖,且区域显性知识、创新、社会资本、外商直接投资以及政府干预均对区域经济增长有正向的贡献作用。最后,应用面板分位数回归分析方法,设定不同的分位点,通过比较不同分位点下显性知识对于经济增长的贡献弹性与创新对于经济增长贡献弹性的值的分布情况,来考察源于显性知识的经济增长与源于创新的经济增长的空间异质性。研究还通过更紧密的分位数点设置来更加细致的考察显性知识弹性与创新弹性曲线的走势。通过比较二者弹性曲线的走势与分布来深入分析显性知识与创新对于经济增长贡献作用的空间异质性,检验创新对于经济增长的贡献作用与区域经济发展水平的空间匹配关系。研究发现,显性知识与创新对于经济增长的贡献作用确实存在显著的空间异质性,且在空间分布上知识弹性更加具有选择性与集中性,而创新弹性则分布较为均匀,总体趋势与知识弹性呈此起彼伏的态势,且在经济发展水平较低地区创新弹性会有更好的表现。据此,针对性提出相应的知识创新管理与区域经济增长相关的政策建议,旨在更好地引导知识、创新以及区域经济的良性关系,更有效地助推区域经济增长。
[Abstract]:In the traditional theory of regional economics, it is generally accepted that knowledge innovation plays an important role in economic growth, and knowledge base plays an undisputable role in promoting innovation. However, a large number of literature on the mechanism of regional economic growth in the past often take an evasive attitude towards the spatial factors of economy, and can not comprehensively examine the spatial relationship between knowledge, innovation and economic growth. In addition, in the traditional concept, people often think that the region with the advantage of knowledge endowment has the same advantage in the innovation intensity, and thus the contribution to economic growth has the same advantage. From this point of view, few literatures have analyzed whether there is a spatial matching between the contribution of knowledge and innovation to economic growth at the regional level. This research is carried out under such a background of specific analysis and research. Firstly, it defines the connotation of knowledge and innovation from the theoretical level, analyzes the spatial logic of explicit knowledge and innovation through knowledge decomposition and innovation source analysis, and analyzes the spatial logic of explicit knowledge and innovation by means of knowledge decomposition and innovation source analysis. Logical deduction and empirical test are used to deduce the spatial matching relationship between dominant knowledge and innovation from different angles and the actual data are verified. Then, the scientific and reasonable selection of variables, the establishment of measurement indicators, the spatial factors into the framework of the model thinking, to build the explicit knowledge of this study, innovation and regional economic growth model. On this basis, the empirical analysis and hypothesis testing are carried out by using the spatial econometrics analysis method to explore the relationship between explicit knowledge, innovation and regional economic growth at the spatial level. The results show that regional economy has spatial dependence and regional dominant knowledge, innovation, social capital, foreign direct investment and government intervention all contribute positively to regional economic growth. Finally, by using panel quantile regression analysis, we set different loci, and compare the distribution of dominant knowledge contribution elasticity to economic growth and innovation contribution elasticity to economic growth by comparing the distribution of dominant knowledge and innovation contribution elasticity to economic growth. To examine the spatial heterogeneity between economic growth derived from explicit knowledge and economic growth from innovation. In addition, the trend of dominant knowledge elasticity and innovation elasticity curve is investigated more carefully by using tighter quantile setting. By comparing the trend and distribution of the elastic curves, the spatial heterogeneity of dominant knowledge and innovation to the contribution of economic growth is analyzed, and the spatial matching relationship between the contribution of innovation to economic growth and the level of regional economic development is tested. It is found that the contribution of dominant knowledge and innovation to economic growth does exist significant spatial heterogeneity, and the elasticity of knowledge is more selective and centralized in spatial distribution, while the elasticity of innovation is more uniform. The general trend and the knowledge elasticity are one after another, and the innovation elasticity will have better performance in the low level of economic development. On the basis of this, the paper puts forward the corresponding policy recommendations on knowledge innovation management and regional economic growth, aiming at guiding better the relationship between knowledge, innovation and regional economy, and promoting regional economic growth more effectively.
【学位授予单位】：哈尔滨工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F124.3

【参考文献】