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我国民族八省区R&D投入相对效率的SFA分析
引用本文:杨安文,潘泽江,陈池波.我国民族八省区R&D投入相对效率的SFA分析[J].西藏大学学报,2014(3):8-12.
作者姓名:杨安文  潘泽江  陈池波
作者单位:[1]中南财经政法大学工商管理学院,湖北武汉430072 [2]中南民族大学管理学院,湖北武汉430074
基金项目:2010年度国家社会科学基金项目“特困民族地区反贫困制度创新研究”(项目号:10CMZ022),2013年度湖北省自然科学基金项目“湖北贫困山区公益性农技推广体系创新研究”(项目号:2013BDH001)阶段性成果.
摘    要:根据1998—2012年的面板数据,对我国民族八省区的IK&D投入效率使用随机前沿分析法(SFA)进行了测算,并将民族八省区的投入、产出、R&D投入效率及其增长率同北京、上海、广东进行了比较。实证结果表明:1.民族地区的研发投入效率增长还处于粗放型增长阶段,主要依赖于研发经费和人员的投入量;2.要素投入量只有在一定区间范围内才能有效提高研发效率;3.民族地区研发投入效率和效率增长率呈现出明显的省城空间差异。

关 键 词:民族地区  R&D投入相对效率  随机前沿分析法(SFA)

SFA Analysis on the R&D Input Relative Efficiency of Eight Ethnic Provinces in China
Yang An-wen,Pan Ze-jiang,Chen Chi-bo.SFA Analysis on the R&D Input Relative Efficiency of Eight Ethnic Provinces in China[J].Journal of Tibet University,2014(3):8-12.
Authors:Yang An-wen  Pan Ze-jiang  Chen Chi-bo
Institution:( Faculty of Business Administration,Zhongnan University Of Economics & Law,Wuhan, Hubei 430072 ; School of Management,South-Central University for Nationalities, Wuhau, Hubei 430074)
Abstract:Based on the Panel data from1998 to 2012, an estimation of the R&D input efficiency of eight ethnic provinces in China has been made by applying SFA (stochastic frontier analysis). Moreover, a comparison has been made between the eight ethnic provinces and the cities of Beijing, Shanghai and Guangdong of their R&D input efficiency and growth rate. The results indicate that: 1. the R&D input efficiency and growth rate of ethnic area are still at an extensive growth stage, and mainly rely on the personnel input and expenditure input; 2. only within a certain range the factor input can effectively improve the efficiency of research; 3. the R&D input efficiency and growth rate of ethnic area exhibit significant provincial spatial differences.
Keywords:ethnic are  R&D input relative efficiency  SFA
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