中国高技术服务业R&D资源配置效率的省际比较分析——基于2009年第二次全国R&D资源清查数据  

Comparative Analyzing the R&D Resources Allocation Efficiency of China's Inter-provincial High-tech Service Industry:Based on the Second National R&D Resources Inventory Data

作　　者：韩东林[1] 云坡[1] 

机构地区：[1]安徽大学商学院,安徽合肥230601

出　　处：《统计与信息论坛》2012年第7期47-52,共6页Journal of Statistics and Information

基　　金：全国统计科学研究项目<长三角地区高技术服务业现状评价及对策研究>(2011LY022);安徽省软科学研究计划项目<泛长三角区域创新体系构建与安徽创新能力全面提升研究>(10030503063)

摘　　要：为探究中国高技术服务业R&D资源配置效率,分析各地区效率差异状况及其影响因素,利用经典DEA模型,实证分析中国高技术服务业的R&D资源配置效率状况。结果显示:辽宁、福建、山东、云南等省份R&D效率有效,而北京、上海、江苏、广东、河南、湖南、安徽等省份效率较低,且内部效率值差异较大。为缩小地区高技术服务业R&D效率差距,提高全国高技术服务业发展水平,必须优化资源投入结构、加强投入力度、创新人才培养机制、培育市场需求及引导产业集聚等。analyze the regional differences of R＆D efficiency and influencing factors. This paper use the classic DEA model, empirical analyzing the R＆D efficiency condition of China＇s high-tech service industry. The result shows： Liaoning, Fujian, Shandong, Yunnan and other provinces is DEA effective. However, the R＆D efficiency of Beijing, Shanghai, Jiangsu, Guangdong, Henan, Hunan, Anhui and other provinces is low, and the internal efficiency diversity largely. To narrow the gap of R＆D efficiency of regional high-tech service industry, improve the development lever of national high-tech service industry, must rely on optimizing the structure of resources, increasing its investment efforts, innovating talent cultivation mechanism, cultivating market demand and guiding the industry agglomeration.

关 键 词：高技术服务业 R&D效率 第二次R&D资源清查数据 DEA 

分 类 号：F276[经济管理—企业管理]