科技资源配置何以促进高技术产业TFP增长——基于29个省域案例的fsQCA分析  

How the Allocation of Scientific and Technological Resources Promote the Growth of TFP in High-Tech Industries:An fsQCA Analysis Based on 29 Provincial Cases

作　　者：杜宝贵[1] 杨帮兴 Du Baogui;Yang Bangxing(School of Humanities and Law,Northeastern University,Shenyang 110169,China)

机构地区：[1]东北大学文法学院,辽宁沈阳110169

出　　处：《科技进步与对策》2022年第23期65-75,共11页Science & Technology Progress and Policy

基　　金：科技部国际司委托项目(2021ICR12);辽宁省科学事业公益研究基金(软科学研究计划)项目(2022JH4/10100012);辽宁省科协科技创新智库项目(LNKX2022B09)。

摘　　要：高技术产业作为国际经济和科技竞争的重要阵地,对加快科技强国和制造强国建设具有重要战略作用。结合DEA-Malmquist模型和模糊集定性比较分析(fsQCA)方法,以中国内地29个省份高技术产业为样本,探讨科技资源配置规模、配置方式和配置环境对高技术产业TFP增长的组态效应。结果表明,高技术产业TFP增长与科技资源要素投入存在复杂并发因果关系,单个科技资源要素不构成高技术产业高TFP的必要条件;存在两类提升高技术产业TFP的组态路径,即以计划配置、产品开发为核心条件的政府主导型条件组态和以市场配置、R&D人员投入为核心条件的市场主导型条件组态,市场主导型条件组态又包括“市场+研发改造型”“市场+开放合作型”“市场+产学研型”3种类型;中国高技术产业在效率增长和TFP路径等方面呈现出显著的区域差异,但市场资源配置和R&D人员投入在提升高技术产业TFP路径中发挥普遍作用。As a strategic emerging industry group that utilizes cutting-edge technology to produce high-tech products, high-tech industry plays an important role in promoting the transformation of economic development momentum and seizing international innovation highlands. The purpose of this study is to explore the influencing factors and configuration paths of different technological resource allocations on the realization of high TFP or low TFP in high-tech industries. Combining the DEA-Malmquist model and the fuzzy set qualitative comparative analysis(fsQCA) method, this paper takes the high-tech industries in 29 provinces and municipalities in China’s mainland as research cases. It starts from three levels of scientific and technological resources allocation scale, allocation method and allocation environment to discuss the multiple concurrent causal relationship between the allocation of high-tech industries’ technological resources and TFP in high-tech industries.By using the fuzzy set qualitative comparative analysis method, the study has three findings.(1) No single science and technology resource element can constitute a necessary condition for high TFP or low TFP of high-tech industries. The TFP growth of China’s high-tech industries has complex and concurrent multiple configurations in terms of the input of scientific and technological resources. Specifically, there are two types of configuration paths for improving TFP in high-tech industries: government-led conditional configuration with planned allocation and product development as the core elements;market-led conditional configuration with market allocation and R&D personnel input as the core state. The market-oriented conditional configuration with market configuration and R&D personnel input as the core is subdivided into three types: the first type is a "market + R&D transformation" configuration supplemented by product development, technological innovation and planned configuration;the second type is a "market + open cooperation" configuration sup

关 键 词：高技术产业 科技资源配置 全要素生产率 MALMQUIST指数 fsQCA 

分 类 号：F264.2[经济管理—国民经济]