我国地区科技投入对经济增长贡献及其影响因素——基于DEA与Tobit方法  

A Study on Contribution and Factors to Economic Growth of Chinese Regional R&D Inputs Based on DEA and Tobit

作　　者：沈渊[1] 

机构地区：[1]浙江财经学院工商管理学院,浙江杭州310018

出　　处：《经济管理》2009年第3期147-152,共6页Business and Management Journal ( BMJ )

摘　　要：本文利用数据包络方法(DEA)对我国31个地区2005年科技投入技术效率、技术与规模效率进行总体评价,并利用Tobit回归模型对影响科技投入的无效率因素予以识别。研究表明,我国地区科技投入在效率上存在显著差异,并且不少地区效率低下;科技投入对经济增长贡献总体偏低;技术与规模效率共同有效的地区较少;科技人员和科技经费相对于投入规模而言,其产出效率不高;R&D经费、技术市场成交合同金额是影响科技投入无效率的重要因素。This paper implements Data Envelopment Analysis （DEA） to generally evaluate Research ad Development （R＆D） inputs of thirty-one Chinese regions in 2005 from technical efficiency, aggregate technical and scale efficiency, and recognize the inefficiency factors of R＆D inputs based on Tobit Regression Model. The results show： There are significant differences on efficiency of Chinese regional R＆D inputs, with some regions of low efficiency; The contribution of R＆D inputs to economic growth is generally low; Minority of regions get technical and scale efficiency simultaneously; Regions with aggregate inefficiency and decreasing scale income are relatively higher; The output efficiency of R＆D and R＆D expenses are relatively lower than that of input scale; R＆D expenses and the value of contract deals in market of technologies is one of the important inefficiency factors of R＆D inputs.

关 键 词：DEA分析 技术效率 技术与规模有效性 相对效率 

分 类 号：F832.48[经济管理—金融学] G311[文化科学]