统计研究 ›› 2023, Vol. 40 ›› Issue (7): 17-32.doi: 10.19343/j.cnki.11–1302/c.2023.07.002

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我国科技资源配置的动态网络效率及空间优化研究

韩爱华 高子桓 张 虎   

  • 出版日期:2023-07-25 发布日期:2023-07-25

Research on the Dynamic Network Efficiency and Spatial Optimization of the Allocation of Science and Technology Resources in China

Han Aihua Gao Zihuan Zhang Hu   

  • Online:2023-07-25 Published:2023-07-25

摘要: 本文基于产学研合作视角将科技资源配置过程划分成技术研发和技术转化两个阶段,运用动态网络SBM模型测度2011—2019年我国省域科技资源配置效率,并采用空间面板杜宾模型来研究科技资源配置动态网络效率的空间优化效应。研究表明:第一,科技资源配置的动态网络效率整体偏低,动态网络具有一定的脆弱性,呈现东中西的阶梯发展态势;第二,企业、高校和科研机构之间缺乏有效互动,技术研发阶段的优势没有得到充分发挥,导致技术研发阻碍了科技资源配置效率的提升;第三,科技资源配置动态网络效率具有显著的正向空间效应,资金转移对科技资源配置动态网络效率的影响呈现“倒U型”特征,对本省份的影响要明显高于其他省份,而知识转化的影响并不显著。因此,在优化科技资源配置过程中必须积极发挥产学研协同作用,提升科技资源配置过程中的资金转移和知识转化能力,建立共性技术研发平台,加速科技资源的空间优化并扩大其影响范围。

关键词: 科技资源配置, 产学研合作, 动态网络SBM, 空间优化效应

Abstract: Based on the perspective of industry-university-research cooperation, this paper divides the allocation process of science and technology resources into two stages: technology research and development, and technology transformation. The dynamic network SBM model is used to measure the allocation efficiency of science and technology resources in all provinces in China from 2011 to 2019, and the spatial optimization effect of the dynamic network efficiency for the allocation of science and technology resources is studied based on the spatial panel Dubin model. Studies show that: Firstly, the overall efficiency of the dynamic network for the allocation of science and technology resources is low, and the dynamic network has certain fragility, showing a tiered development trend in the eastern, central and western regions of China. Secondly, the lack of effective interaction between enterprises, universities and scientific research institutions and underutilization of the advantages of technology research and development make technology research and development hinder the improvement of the efficiency of science and technology resource allocation. Thirdly, the dynamic network efficiency of science and technology resource allocation has a significant positive spatial effect. The impact of capital transfer on the dynamic network efficiency of science and technology resource allocation shows an “inverted U-shaped” feature, and the impact of capital transfer and knowledge transformation on their own province is significantly higher than that of other provinces. Therefore, in the process of optimizing the allocation of science and technology resources, it is necessary to actively achieve the synergy of industries, universities and research, improve the capacity of capital transfer and knowledge transformation in the process of science and technology resource allocation, establish a common technology research and development platform, accelerate the spatial optimization of science and technology resources and expand its scope of influence.

Key words: Allocation of Science and Technology Resources, Industry-University-Research Cooperation, Dynamic Network SBM, Spatial Optimization Effect