福建省科技创新投入对TFP的影响效应分析  

The effect of technology innovation investment on TFP in Fujian province

作　　者：张积林[1,2] 林江宏[1,2] 陈国铁[2,3] 王坤[2] Zhang Jilin Lin Jianghong Chen Guotie Wang Kun(School of Mathematics and Physics, Fujian University of Technology, Fuzhou 350118, China Data Analysis and Research Center, Fujian University of Technology, Fuzhou 350118, China School of Management, Fujian University of Technology, Fuzhou 350118, China)

机构地区：[1]福建工程学院数理学院,福建福州350118 [2]福建工程学院数据分析研究中心,福建福州350118 [3]福建工程学院管理学院,福建福州350118

出　　处：《福建工程学院学报》2016年第4期386-392,共7页Journal of Fujian University of Technology

基　　金：福建省社科基金项目(2013B206);福建省教育规划项目(FJJKCGZ13-018)

摘　　要：科技创新是影响全要素生产率变动的重要因素,文章梳理了福建省近十年来的科技创新脉络,并基于福建省1998~2014年的相关数据,采用DEA-Malmquist指数法计算福建省全要素生产率（total factor productivity,TFP）,在此基础上计算研究与试验发展（research＆development,R＆D）的支出强度、人员全时当量和TFP的灰色关联度,表明R＆D支出强度与TFP有更为紧密的关系。并进一步采用逐步回归模型研究三种R＆D活动：基础研究、应用研究和试验发展对TFP的影响,表明试验发展对TFP的提升有显著的积极作用,也侧面反映了基础研究和应用研究投入不足和成果转化效率不高的问题。最后针对以上结论给出了一些分析和建议。Technology innovation is an important factor that affects total factor productivity（ TFP）.DEA-Malmquist index method was used to calculate the TFP in Fujian province during 1998 and2014. The grey correlation degree among R ＆ D expenditure intensity,personnel full time efficiency（ FTE） and TFP was calculated,which indicates that R ＆ D expenditure intensity is closely related to the TFP. Moreover,the effect of basic research,applied research and experimental development on TFP was studied with regressive model,showing that R ＆ D activity has a significant positive impact on the development of TFP. However,the insufficient investment and the low transformation efficiency of basic and applied research was reflected via the economical model analysis. Some policy recommendations were proposed.

关 键 词：创新 DEA-MALMQUIST指数 全要素生产率 GARCH 福建 

分 类 号：F127[经济管理—世界经济]