基于DEA-Malmquist指数的四川创新科技效率评价分析  

Analysis and Evaluation of Sichuan Technology Innovation Efficiency Based on DEA-Malmquist Index

作　　者：黄寰[1] 王玮[1] 曾智[1] 

机构地区：[1]成都理工大学商学院,成都610059

出　　处：《软科学》2015年第10期131-135,共5页Soft Science

基　　金：国家软科学研究计划项目(2013GXS4D147;2014GXS4D147);四川省软科学研究计划项目(2013ZR0177;2014ZR0064);成都市软科学计划项目(13RKYB117ZF-041;2014-RK00-00001-ZF);四川循环经济研究中心重点课题(XHJJ-1401);四川省农村发展研究中心重点项目(CR1401);四川省教育厅教育部高校辅导员培训和研修基地(西南交通大学)思想政治教育研究课题重点项目(CJSFZ14-005)

摘　　要：以川、滇、黔等7省和全国科技创新产业近年投入产出数据为基础,以内生增长理论为依据,运用数据包络模型对其马氏距离和科技创新产业的全要素生产效率进行测算。结果表明:全要素生产效率变化中其规模效率变化率排序最符合各省的科技创新水平;四川省六大支柱创新产业集中度高,产业集聚效应与辐射效应明显,科技创新优势在于R&D人员数量和劳动力占比不断提高;科技创新产业布局严重不均和尖端科研人员增长缓慢是制约四川科技创新快速发展的重要因素。通过四川省科技创新产业聚集程度对2015年高新技术企业产值进行预测,预计2015年及以后四川省高新技术企业产值增长率能够稳定在20%的水平。Based on the technological industries input-output data of nation,Sichuan,Yunnan,Guizhou and other four provinces,combined with the endogenous growth theory,this paper uses the DEA-Malmquist model calculated the Malmquist distance and TFP（ total factor productivity）. Results show that： among all the indexes which constitute TFP,the scale efficiency changes best meet the real level of technology innovation efficiency of the seven provinces; six main innovation industries of Sichuan are high concentrated,industrial clustering effect and radiation effect is obvious,the advantages of technology innovation lies in the improvement of RD labor force number and the proportion it takes. At the meantime,the problems of inequality layout of technology innovation industries and slow growth of cutting-edge research personnel combined with other issues are the elemental factors that impede the growth of Sichuan technology innovation. Through the aggregation level of Sichuan high technology industries,it can be expected the value of output of high-tech enterprises growth stabilize at 20% level.

关 键 词：科技创新效率 内生增长理论 马氏全要素生产率 

分 类 号：F014.7[经济管理—政治经济学]