基于随机前沿方法的广东省大中型工业企业科技活动效率研究  

Analysis on the efficiency of S&T activities of large and medium-sized industrial firms in Guangdong province:a stochastic frontier approach

作　　者：梁彤缨[1] 陈修德[1] 卢春源[1] 

机构地区：[1]华南理工大学工商管理学院,广东广州510640

出　　处：《科学学研究》2009年第3期393-398,406,共7页Studies in Science of Science

基　　金：广东省软科学研究计划项目(2006B70105011);广东省哲学社会科学"十一五"规划项目(08E-09)

摘　　要：运用基于面板数据的随机前沿方法,对中国广东省21个地级以上市在2001—2006年间大中型工业企业科技活动的效率进行了测度,并将广东省划分为三大区域(珠江三角洲、粤东粤西两翼及粤北山区),对大中型工业企业科技活动效率的区域差异进行了研究。研究表明,广东省大中型工业企业科技活动的总平均效率为0.4015;在三大区域之间,珠江三角洲的效率最高,粤东粤西两翼的效率次之,粤北山区的效率最低。最后就如何提高广东省大中型工业企业科技活动的效率提出了相应的政策建议。This paper applies a stochastic frontier approach based on panel data for evaluating the relative efficiency of S＆T activities of Large and medium - sized industrial firms from 2001 - 2006 of all 21 cities in Guangdong Province, and further divides Guangdong province into three main regions （the Pearl River Delta region, the East -West wings region and the northern mountain region） to research the regional differences of S＆T activities efficiency on their firms. The results show that the total average efficiency of the S＆T activities of large and medium -sized industrial firms in Guangdong Province is merely 0. 4015. Comparing the three regions, the results also show that the Pearl River Delta region has the best performance of efficiency, and the East - West wings region seconds, then the northern mountain region has the lowest efficiency. Finally, this paper raises some policy recommendations to improve the efficiency of S＆T activity for the three separate regions.

关 键 词：随机前沿方法(SFA) 科技活动效率 科技活动参与人员 科技活动经费支出 

分 类 号：G311[文化科学]