中国高新技术产业中研发积累与知识溢出的产出效应研究
发布时间：2018-08-07 11:10
【摘要】：历经近30年的发展,高新技术产业已经在我国国民经济中占有重要地位。高新技术产业中的知识研发和技术进步是我国经济增长的重要推动力,对于引导我国经济由"投资驱动型"向"技术驱动型"转变具有重要作用。新增长理论指出人力资本投入和研发积累是技术进步和产出增长的主要影响因素,对于高新技术产业尤其如此。由于高新技术产业的生产和研发活动具有外部性,本文在研究过程中,需要考虑空间因素对研究的影响。本文在总结分析现有研究以及介绍相关理论知识的基础上,根据《中国高技术产业统计年鉴》和《中国统计年鉴》等数据资料,建立空间面板模型,对中国高新技术产业产出影响因素进行分析,其中重点研究了知识溢出和研发积累对高新技术产业的影响作用。首先,对高新技术产业产出进行了空间相关性检验,证实其空间相关性的存在。其次,引入研发积累、知识溢出及人力资本投入等指标,分别构建空间滞后模型、空间误差模型以及空间杜宾模型,通过回归系数拟合度对比及相关检验,判断和选择最优模型。本文最终选择了具有空间固定效应的空间杜宾模型。研究表明:我国高新技术产业的产出存在着显著的空间相关性,在空间上具有正向促进效应;研发积累对高新技术产业产出的影响大于劳动力和物质资本对高新技术产业产出的影响,同时研发积累具有显著的空间溢出效应,意味着一个省域的高新技术产业产出不仅受该省域自身研发积累的影响,也受到邻近省域研发积累的影响;关于知识溢出对高新技术产业产出的影响,我国各地区高新技术产业产出受专业化外部性和本地竞争外部性的影响,存在显著的MAR溢出和Porter溢出,然而高新技术产业的多样化对高新技术产业产出的影响不显著。本文的可能创新之处体现为:在变量选取上,引入研发积累与知识溢出指标来研究其对高新技术产业产出的影响;在模型构建过程中,考虑了高新技术产业产出的空间相关性,分别构建空间滞后模型、空间误差模型以及空间杜宾模型,通过回归系数拟合度对比及相关检验,最终选择最恰当的空间模型。
[Abstract]:After nearly 30 years of development, high-tech industry has played an important role in our national economy. Knowledge R & D and technological progress in high-tech industry are the important driving force of our country's economic growth, and play an important role in guiding our country's economy to change from "investment-driven" to "technology-driven". The new growth theory points out that human capital investment and R & D accumulation are the main influencing factors of technological progress and output growth, especially for high-tech industries. Due to the externality of the production and R & D activities of high and new technology industries, the influence of space factors on the research should be considered in this paper. On the basis of summarizing and analyzing the existing research and introducing relevant theoretical knowledge, this paper establishes a spatial panel model based on the data of China High-Tech Industry Statistical Yearbook and China Statistical Yearbook. This paper analyzes the influencing factors of high-tech industry output in China, and focuses on the effect of knowledge spillover and R & D accumulation on high-tech industry. Firstly, the spatial correlation test of high-tech industry output is carried out to confirm the existence of spatial correlation. Secondly, by introducing R & D accumulation, knowledge spillover and human capital investment, respectively, the spatial lag model, spatial error model and spatial Dobbin model are constructed. To judge and select the optimal model. In this paper, the spatial Doberman model with spatial fixed effect is selected. The results show that: the output of high-tech industries in China has significant spatial correlation and has a positive promotion effect in space; The impact of R & D accumulation on high-tech industrial output is greater than that of labor force and physical capital, and R & D accumulation has significant spatial spillover effect. This means that the output of high-tech industries in a province is affected not only by the accumulation of research and development within the province itself, but also by the accumulation of research and development in neighbouring provinces; on the impact of knowledge spillover on the output of high-tech industries, Due to the externalities of specialization and local competition, there are significant MAR spillovers and Porter spillovers in various regions of China. However, the diversification of high-tech industries has no significant effect on the output of high-tech industries. The possible innovations of this paper are as follows: in the selection of variables, R & D accumulation and knowledge spillover index are introduced to study the impact of R & D accumulation and knowledge spillover on high-tech industry output; in the process of model construction, the spatial correlation of high-tech industry output is considered. The spatial lag model, spatial error model and spatial Doberman model are constructed, and the most appropriate spatial model is selected through the comparison of regression coefficient fitting degree and correlation test.
【学位授予单位】：东北财经大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：F276.44
本文编号：2169835
[Abstract]:After nearly 30 years of development, high-tech industry has played an important role in our national economy. Knowledge R & D and technological progress in high-tech industry are the important driving force of our country's economic growth, and play an important role in guiding our country's economy to change from "investment-driven" to "technology-driven". The new growth theory points out that human capital investment and R & D accumulation are the main influencing factors of technological progress and output growth, especially for high-tech industries. Due to the externality of the production and R & D activities of high and new technology industries, the influence of space factors on the research should be considered in this paper. On the basis of summarizing and analyzing the existing research and introducing relevant theoretical knowledge, this paper establishes a spatial panel model based on the data of China High-Tech Industry Statistical Yearbook and China Statistical Yearbook. This paper analyzes the influencing factors of high-tech industry output in China, and focuses on the effect of knowledge spillover and R & D accumulation on high-tech industry. Firstly, the spatial correlation test of high-tech industry output is carried out to confirm the existence of spatial correlation. Secondly, by introducing R & D accumulation, knowledge spillover and human capital investment, respectively, the spatial lag model, spatial error model and spatial Dobbin model are constructed. To judge and select the optimal model. In this paper, the spatial Doberman model with spatial fixed effect is selected. The results show that: the output of high-tech industries in China has significant spatial correlation and has a positive promotion effect in space; The impact of R & D accumulation on high-tech industrial output is greater than that of labor force and physical capital, and R & D accumulation has significant spatial spillover effect. This means that the output of high-tech industries in a province is affected not only by the accumulation of research and development within the province itself, but also by the accumulation of research and development in neighbouring provinces; on the impact of knowledge spillover on the output of high-tech industries, Due to the externalities of specialization and local competition, there are significant MAR spillovers and Porter spillovers in various regions of China. However, the diversification of high-tech industries has no significant effect on the output of high-tech industries. The possible innovations of this paper are as follows: in the selection of variables, R & D accumulation and knowledge spillover index are introduced to study the impact of R & D accumulation and knowledge spillover on high-tech industry output; in the process of model construction, the spatial correlation of high-tech industry output is considered. The spatial lag model, spatial error model and spatial Doberman model are constructed, and the most appropriate spatial model is selected through the comparison of regression coefficient fitting degree and correlation test.
【学位授予单位】：东北财经大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：F276.44
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