吸收能力对省级创新产出的空间溢出效应研究：基于空间计量模型

Spatial Spillover of Absorptive Capacity on Provincial Innovation Output: Based on Spatial Econometric Model

摘要:

标准化水平能够反映区域技术吸收能力的大小。采用2002-2018年中国省级面板数据，基于省级层面标准化水平构建区域吸收能力指标，结合创新投入要素和产出指标，在Griliches-Jaffe知识生产函数和Romer-Jones知识生产函数基础上，建立空间面板模型。通过分析地理距离矩阵、研发能力距离、技术能力距离、吸收能力空间权重矩阵，实证研究省级层面创新投入的直接效应和空间溢出效应。实证结果显示，我国省级层面R&D资本、R&D人员投入下的创新产出具有正的空间相关性；标准化能力能促进本省域的创新产出，但会抑制其他省域的创新产出。因此，提出政策建议：通过提高R&D资本、R&D人员、知识存量的投入，来促进我国创新水平的整体提升；建立有利于创新要素流动的机制，有利于推动省域层面的协调发展；要充分考虑各地在研发能力、技术能力、吸收能力方面的差异，实施差异化对策。

Abstract:

The level of standardization can reflect the overall technology absorptive capacity of a provincial region. Using China’s provincial panel data from 2002 to 2018, this paper constructs provincial absorptive capacity index based on the standardization level at the provincial level together with innovation input factors and output indicators and establishes spatial panel model on the basis of Griliches-Jaffe knowledge production function and Romer-Jones knowledge production function. It establishes spatial weight matrix of geographical distance, R D capacity distance, technological capacity distance and absorptive capacity distance, empirically analyzes direct and spillover effects of provincial regional innovation input. The empirical results show that the innovation output from the input of R&D capital and R&D personnel at the provincial level in China has a positive spatial correlation; standardization ability can promote the innovation output of the provincial region, but it will inhibit the innovation output of other regions. Therefore, this paper puts forward some policy suggestions. The overall improvement of China's innovation can be promoted by increasing the investment of R&D capital, R&D personnel and knowledge stock. The coordinated development at the provincial level can be promoted by establishing a mechanism conducive to the flow of innovation factors. Differences in R&D capacities, technological capacities and absorptive capacities of different regions should be fully taken into account and differentiated measures should be implemented.