【作者】 沈炼；

【导师】 马永红；

【作者基本信息】 北京化工大学 ， 企业管理， 2008， 硕士

【摘要】 研究与发展(R&D)活动是经济发展和科技进步的主要推动力,是学术界、政府部门长期研究的领域。我国各省市的R&D投入及其经济发展是不平衡的,探索R&D投资效率如何影响其经济的发展具有理论和实际意义。本文运用DEA模型-Malmquist指数对我国各省市的R&D投入产出效率进行分析,探索R&D全要素生产率、技术效率指数和技术进步指数及其变化,并在此基础上采用格兰杰因果检验方法进行各省市R&D投资效率与R&D投资环境因子进行分析研究。本文得出以下创新结果和主要结论:中国1998-2005各省份的R&D全要素生产率的提高主要来源于R&D技术进步的提高;东部、西部、中部依次为R&D技术效率处于前沿面较多的省份区域,且依规模报酬收益情况可分为六种类型——规模不变型、规模递增型、规模递减型、调整递减型、调整适度型和调整不稳定型;西部、中部和东部R&D全要素生产率依次呈降序,但期间大部分省份的R&D全要素生产率是增长的,且走向趋同;递减型省份呈明显格兰杰因果关系,且存在1-2年滞后期。基于以上研究结论,本文还提出了改进我国各省市R&D投资的相关政策建议以期为政府决策提供参考。更多还原

【Abstract】 Research and development(R&D)efficiency has attracted the attention from industrial and governmental well as academic fields.The exploration on relationship between the R&D efficiency and the economic growth in each province in China is of both practical and theoretical significance.Based on DEA model-Malmquist Index,the R&D efficiency of each province in China was analyzed.The released R&D data and economic reports of each province in China during 1998-2005 years were collected as samples, the change of R&D total factor productivity(TFPCH),the change of technical efficiency(EFFCH)and technical change(TECHCH)were estimated.Using Granger test methodology,R&D efficiency and R&D environment factors were analyzed.It was found that technical change(TECHCH)was the principal source of the growth of R&D TFP of each province during 1998-2005 years.More provinces from eastern district,compared to those from western and median district in a decreasing order,were on the R&D efficient frontier edge;All provinces were classified into six types:Returns to Scale of R&D efficiency, they are Constant Returns to Scale,Increasing Returns to Scale,Decreasing Returns to Scale,Decreasing Returns to Scale after Regulation,Moderation Returns to Scale after Regulation,Instable Returns to Scale after Regulation; R&D TFP of Western district was bigger than that of median and estern one; R&D TFP in each district was generally increasing,the growth trendency in different districts had a convergence effect;two Decreasing types showed a strong Granger correlation between R&D efficiency and environment factors, and the lag was one or two years.The research results of this work were hoped to provide some reference for government in China.更多还原