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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
引用本文:韩东林,云坡.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[J].统计与信息论坛,2012,27(7):47-52.
作者姓名:韩东林  云坡
作者单位:安徽大学商学院,安徽合肥,230601
基金项目: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》,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》
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.

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

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
HAN Dong-lin , YUN Po.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[J].Statistics & Information Tribune,2012,27(7):47-52.
Authors:HAN Dong-lin  YUN Po
Institution:(Business School,Anhui University,Hefei 230601,China)
Abstract:To explore the R&D efficiency of resource allocation of China’s high-tech service industry, 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.
Keywords:high-tech service industry  R&D efficiency  the second national R&D resources inventory data  DEA
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