银行信贷、政府与企业科技投入理想贡献研究——效率视角下的面板数据估计  

Study on Perfect Contribution of Loan,Government and Enterprise Science & Technology Input——Panel Data Estimation in Perspective of Efficiency

作　　者：俞立平[1] 俞海山[1] 

机构地区：[1]宁波大学商学院现代管理研究中心,浙江宁波315211

出　　处：《科技与经济》2012年第2期65-69,共5页Science & Technology and Economy

基　　金：国家软科学项目--"碳关税对我国的影响及应对的经济手段与科技政策研究"(项目编号:2011GXS3D052;项目负责人:俞海山)成果之一

摘　　要：在采用TOPSIS对科技产出进行评价的基础上,利用DEA分析了研发人员全时当量、银行贷款、政府与企业科技投入对科技产出的效率,并采用生产函数和面板数据对有无效率损失情况下投入要素的贡献进行了比较。研究发现,中国科技投入产出效率总体不高,经济发展水平对科技投入产出效率的影响不大。从投入要素的利用效率看,政府科技投入的利用效率最高,企业科技投入的利用效率第二,研发人员全时当量的利用效率第三,银行信贷的利用效率最低。由于效率损失,导致政府科技投入的贡献被高估,而企业科技投入的贡献被低估了。科技贷款的利用效率最低,并且弹性系数为负数,深层次暴露了科技金融在信用体系和风险体系方面存在的问题。This paper analyzes science and technology efficiency based on R＆D personnel FTE, loan, the government and enter- prise input after evaluating S＆T output with TOPSIS, then compares the contribution of the input factors under efficiency and non-effi- ciency based on panel data and product function. The results show the efficiency of China S＆T input-output is low, but the economy development level has little influence on efficiency of S＆T input-output. The input factors ranking in descending order of utilization effi- ciency is government, enterprise, R＆D personnel FI＇E, and loan. Due to efficiency loss, the contribution of the government S＆T input is over-estimated while that of the enterprise S＆T input is under-estimated. The elastic ratio of loan S＆T input is negative and its effi- ciency is the lowest. Therefore, problems of S＆T finance in credit system and risk system are exposed in a deep manner.

关 键 词：银行信贷 科技投入 效率 数据包络分析 理想贡献 

分 类 号：F832.4[经济管理—金融学] F273.1F224