广东省大中型工业企业R&D效率及其区域差异解析  

"Differences in Innovation Environment" or "Regional Discrimination"——Investigating the R&D Efficiency and Regional Differences of Large and Medium-sized Firms in Guangdong Province

作　　者：陈修德[1] 梁彤缨[1] 徐健[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：《中国科技论坛》2011年第8期73-78,共6页Forum on Science and Technology in China

基　　金：广东省哲学社会科学"十一五"规划项目(08E-09);广东省软科学研究计划项目(2010B070300022;2008B070800014)

摘　　要：本文首先运用动态面板随机前沿模型,对2001—2008年广东省21个地级以上市大中型工业企业的R&D效率进行测定,进而分析论证广东省大中型工业企业R&D效率的区域差异,并运用分位数分解方法对差异分布特征及成因进行解析。研究结果证实了广东省大中型工业企业R&D效率区域差异的存在性,其中,"珠江三角洲"和"粤东粤西两翼"的R&D效率差异并不显著,但均显著高于"粤北山区"的R&D效率;研究还发现,R&D效率的区域差异是"创新环境差异"和"区域歧视"共同作用的结果,但在不同分位点的效率水平上,差异的分布特征及主要成因却不尽相同。Based on the panel data of 21 cities in Guangdong Province from 2001 to 2008, this paper applies the dynamic stochastic frontier production model to evaluate the R＆D efficiency of large and medium-sized firms, further analyzes the regional differences of R＆D＇s efficiency. And this paper applies quantile decomposition to investigate the distribution and cause of regional difference. The results show that the R＆D efficiencies of the three regions are different, R＆D efficiency of the Pearl River Delta region and East-west wings region are significantly higher than the northern mountain region, but the difference of Pearl River Delta region and East-west wings region is insignificant. The study also finds that ＂difference in environments of innovation＂ and ＂regional discrimination＂ result regional differences in R＆D efficiency, but at different levels of efficiency, the leading causes of differences in distribution are not the same.

关 键 词：R&D效率 区域差异 动态面板随机前沿模型 分位数分解方法 

分 类 号：F830.59[经济管理—金融学]