中观层面上技术标准的溢出效应分析:基于省际面板数据  

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

作　　者：王丽君[1,2] 陈韬[3] 王益谊[1] Wang Lijun;Chen Tao;Wang Yiyi(China National Institute of Standardization,Beijing 100191,China;Tsinghua University,Beijing 100084,China;Institute of Quantitative&Technological Economics,Graduate School,Chinese Academy of Social Sciences,Beijing 100732,China)

机构地区：[1]中国标准化研究院,北京100191 [2]清华大学,北京100084 [3]中国社会科学院研究生院数量经济与技术经济系,北京100732

出　　处：《科技管理研究》2021年第4期175-182,共8页Science and Technology Management Research

基　　金：国家社会科学基金重大项目“推动高质量发展的质量治理体系与政策研究”(18ZDA079);中国标准化研究院院长基金项目“推动高质量发展的质量治理体系与政策研究(国家社会科学基金配套项目)”(572019Y-6770),“十四五NQI(国家质量基础设施)专项标准板块预研”(572020Y-7469-1)。

摘　　要：采用2001—2017年我国30个省(区、市)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评价指数,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(如地区生产总值)相比,创新产出更加依赖于知识存量,同时受到区域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。最后建议我国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,提高研发资本和研发人员对创新产出的贡献、知识存量对创新产出的规模报酬、区域对创新产出的消化和吸收能力以及标准化水平对创新产出的规模报酬。Based on the panel data of 30 provinces,autonomous regions and municipalities directly under the Central Government 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.gross regional product),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.Finally,the paper suggests that different regions of China should formulate different innovation incentive policies based on different input factor structures,in order to improve the contribution of R&D capital and R&D personnel to innovation output,the scale reward of knowledge stock to innovation output,the regional digestion and absorption ability to innovation output,and the scale reward of standardization level to innovation output.

关 键 词：标准化 技术标准 技术创新 创新知识 知识生产函数 

分 类 号：C939[经济管理—管理学] F061.5