基于空间计量的高新技术产业集聚及知识溢出效应研究—珠三角与长三角的比较

发布时间：2018-03-15 08:18

本文选题：知识溢出效应　切入点：高新技术产业集聚　出处：《深圳大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着知识经济成为推动世界经济发展的主要动力,知识创新日益成为我国产业转型升级和增强城市竞争力的重要途径。作为中国改革开放最前沿的珠三角与长三角,高新技术产业集聚为知识创新提供了重要载体,知识溢出又反过来促进两地区高新技术产业集聚。高新技术产业集聚的知识溢出能加快区域经济发展方式转变、提高区域知识创新效率和促进区域协调发展,其研究成为当下政府、社会和学界关注的热点问题。本文结合知识溢出和高新技术产业集聚相关理论,建立高新技术产业集聚的知识溢出效应研究框架,运用GIS技术对珠三角与长三角的高新技术产业集聚的演化过程进行分析,通过空间自相关检验分析其知识溢出,并且以知识生产函数为基础,建立空间计量模型,对高新技术产业集聚的知识溢出效应进行实证分析,得到以下结论:(1)珠三角与长三角的高新技术产业集聚在全国领先,但演化过程有所区别;深圳和上海分别在各自区域处于绝对的高集聚水平,导致两地区知识创新重心位于地理中心的东方,珠三角高新技术产业集聚程度逐年加强,长三角则呈现出先向集聚后分散的状况。(2)珠三角和长三角高新技术产业知识创新资源投入集中在各自的核心地区,但是知识溢出方式不同;珠三角知识溢出形成了鲜明的“中心—边缘”分布,长三角则形成两条“知识溢出带”。(3)两地区的知识创新均向经济距离小的城市溢出,以经济距离建立的空间权重矩阵的空间误差模型效果最好。(4)两地区高新技术产业集聚的知识溢出效应都为正向显著,长三角的知识溢出效应优于珠三角,但MAR外溢效应以及Porter外溢效应都不显著,高新技术产业集聚产生拥挤效应,“压制”知识创新。(5)珠三角的RD人力资本投入对知识创新的影响为正向最大,长三角RD资金投入对知识创新的影响为正向最大,珠三角的外商RD投资对知识创新的影响为负向最大,“挤出”知识创新。根据以上实证结果,本文提出几点促进两地区高新技术产业集聚的知识创新及其溢出的建议:强化区域知识创新的空间联系;优化RD人才对区域知识创新的贡献;加强RD资金投入和优化RD资金结构;处理好高新技术集聚和区域知识创新的平衡。
[Abstract]:With the knowledge economy becoming the main driving force to promote the development of the world economy, knowledge innovation has increasingly become an important way for China to transform and upgrade its industries and enhance the competitiveness of its cities. As the forefront of China's reform and opening up, the Pearl River Delta and the Yangtze River Delta, High-tech industrial agglomeration provides an important carrier for knowledge innovation, and knowledge spillover in turn promotes high-tech industrial agglomeration in the two regions. Knowledge spillover of high-tech industrial agglomeration can accelerate the transformation of regional economic development mode. To improve the efficiency of regional knowledge innovation and promote regional coordinated development, its research has become a hot issue of the current government, society and academia. This paper combines the theory of knowledge spillover and high-tech industrial agglomeration. The research frame of knowledge spillover effect of high-tech industrial agglomeration is established, and the evolution process of high-tech industrial agglomeration in the Pearl River Delta and Yangtze River Delta is analyzed by using GIS technology, and its knowledge spillover is analyzed by spatial autocorrelation test. Based on the knowledge production function, a spatial econometric model is established to analyze the knowledge spillover effect of high-tech industrial agglomeration. The following conclusions are drawn: 1) the high-tech industry agglomeration between the Pearl River Delta and the Yangtze River Delta leads the country. However, the evolution process is different. Shenzhen and Shanghai are in the absolute high level of agglomeration in their respective regions, which leads to the fact that the focus of knowledge innovation in the two regions lies in the east of the geographical center, and the degree of high-tech industrial agglomeration in the Pearl River Delta is strengthened year by year. The Yangtze River Delta presents the situation of agglomeration first and then dispersing. (2) the investment of knowledge innovation resources of high-tech industries in the Pearl River Delta and Yangtze River Delta is concentrated in their respective core areas, but the ways of knowledge spillover are different; Knowledge spillovers from the Pearl River Delta form a distinct "center-edge" distribution, while the Yangtze River Delta forms two "knowledge spillover zones". The spatial error model of the spatial weight matrix based on the economic distance is the best. The knowledge spillover effect of high-tech industry agglomeration in the two regions is both positive and significant, and the knowledge spillover effect of the Yangtze River Delta is better than that of the Pearl River Delta. However, MAR spillover effect and Porter spillover effect are not significant. High-tech industrial agglomeration produces crowding effect, and R D human capital investment in Pearl River Delta has the greatest positive impact on knowledge innovation. The impact of R D investment on knowledge innovation in the Yangtze River Delta is the greatest, and the foreign R D investment in the Pearl River Delta has a negative impact on knowledge innovation. This paper puts forward some suggestions to promote the knowledge innovation and spillover of high-tech industry agglomeration in the two regions: to strengthen the spatial connection of regional knowledge innovation, to optimize the contribution of Rd talents to regional knowledge innovation; Strengthen R D investment and optimize R D fund structure, and deal with the balance between hi-tech agglomeration and regional knowledge innovation.
【学位授予单位】：深圳大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F276.44

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