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多重视角下中国省域科技产出的影响因素研究
引用本文:陈毅辉,李敏杰.多重视角下中国省域科技产出的影响因素研究[J].福建农林大学学报(哲学社会科学版),2020(2):57-65,77.
作者姓名:陈毅辉  李敏杰
作者单位:福建农林大学安溪茶学院;福建省安溪县现代农业产业园协同创新中心;福州大学经济与管理学院
基金项目:国家社会科学基金项目(18BGL018);福建省社会科学规划项目(FJ2018C045)。
摘    要:基于区域经济发展、科技人力资源投入、科技财务资源投入、科技物资资源投入和科技环境等多重视角,以2012—2016年中国31个省、市、自治区(香港、澳门、台湾地区除外)科技产出为被解释变量,以滞后1期的科技产出影响因素为解释变量,运用最大信息系数和随机森林回归进行分析。研究结果表明:我国科技产出总体呈上升趋势,但各区域的差异不断扩大;科技产出与部分影响因素之间存在较强的非线性关系;科技产出主要受仪器和设备经费、R&D经费支出用途、R&D人员和工作量、高技术产品进口贸易额等因素的影响,受其他变量影响较小。据此,建议加强科技资源优化配置,重视科技人才的引进和培养,不断提升自主创新能力和核心竞争力。

关 键 词:科技创新  科技产出  最大信息系数  随机森林回归

The influencing factors of China′s provincial science andtechnology outputs from multiple perspectives
CHEN Yi-hui,LI Min-jie.The influencing factors of China′s provincial science andtechnology outputs from multiple perspectives[J].Journal of Fujian Agriculture and Forestry University,2020(2):57-65,77.
Authors:CHEN Yi-hui  LI Min-jie
Institution:(Anxi College of Tea Science,Fujian Agriculture and Forestry University,Fuzhou,Fujian 350002,China;Cooperative Innovation Center of Modern Agricultural Industrial Park,Quanzhou,Fujian 362406,China;School of Economics and Management,Fuzhou University,Fuzhou,Fujian 350116,China)
Abstract:Based on multiple perspectives of regional economic development,human resources,financial resources and material resources inputs of science and technology(S&T)and technological environment,this paper takes the S&T outputs of 31 provinces,cities and autonomous regions(excluding Hong Kong,Macao and Taiwan)in China from 2012 to 2016 as the dependent variables,and takes the one-lag-phase influencing factors as independent variables and uses the maximum information coefficient and random forest regression to draw the conclusions.The results show that:the overall outputs of S&T in China are on the rise,but the regional differences are expanding;there is a strong non-linear relationship between the outputs of S&T and some influencing factors;the outputs of S&T are mainly affected by some factors such as instrument and equipment expenditure,R&D expenditure,R&D personnel and workload,import trade value of high-tech products.It is less affected by other variables.Therefore,China should strengthen the optimal allocation of S&T resources,attach importance to the introduction and training of S&T talents and constantly improve the ability of independent innovation and core competitiveness.
Keywords:science and technology innovation  science and technology outputs  maximum information coefficient  random forest regression
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