中观层面上技术标准的溢出效应分析：基于省际面板数据

Analysis on Spillover Effect of Technical Standards at Meso Level: Based on Interprovincial Panel Data

摘要:

提高要素的知识溢出效应是推动创新驱动和区域发展的有效途径之一。本文基于2001-2017年我国30个省市区的面板数据,基于标准体系构建代表地区知识扩散和吸收能力的标准化水平指数,并将其纳入改进的知识生产函数,分析包括标准化在内的各要素对创新产出的影响。研究结果表明,与传统的产出形式(例如GDP)相比,创新产出更加依赖于知识存量,同时受到区域的知识扩散和吸收能力的影响。知识存量和区域标准化水平对创新产出存在溢出效应,规模报酬递减。在创新知识的产出过程中,研发资本、研发人员、知识存量、标准化水平的影响具有显著的区域差异性,建议各地区基于不同的投入要素结构制定不同的创新激励政策。

Abstract:

Improving the knowledge spillover effect of inputs is one of the effective ways to promote innovation-driven and regional development. Based on the panel data of 30 provinces in China from 2001 to 2017, this paper constructs a standardization level index representing the knowledge diffusion and absorption capacity of the region based on the standards’ system, and integrates it into the improved knowledge production function to analyze the impacts of inputs, including standardization, on innovation output. The results show that innovation output is more dependent on knowledge stock than traditional output forms (e.g. GDP), while being influenced by regional knowledge diffusion and absorptive capacity. Knowledge stock and regional standardization level have spillover effects on innovation output, and scale reward decreases. In the output process of innovative knowledge, the impacts of R D capital, R D personnel, knowledge stock, standardization level have significant regional differences, so it is suggested that different regions should formulate different innovation incentive policies based on different input factor structures.