科技创新资源配置效率测度及路径优化——以山西省为例  

Efficiency Measurement and Path Optimization of Sci-Tech Innovation Resource Allocation-A Case Study of Shanxi Province

作　　者：张子珍[1] 于佳伟 杜甜 ZHANG Zi-zhen;YU Jia-wei;DU Tian(School of Economics,Shanxi University of Finance and Economics,Taiyuan 030006,China)

机构地区：[1]山西财经大学经济学院,山西太原030006

出　　处：《统计学报》2020年第5期69-80,共12页Journal of Statistics

基　　金：山西省软科学研究一般项目(2017041008-1)。

摘　　要：在探讨科技创新资源配置现状及作用机制的基础上,采用数据包络分析和DEA-Tobit两步法,对山西省11个地级市2009—2018年的科技创新资源配置效率进行了测度,分析了科技创新资源配置效率的影响因素及优化路径。研究结果表明:山西省科技创新资源配置效率与经济发展水平和政府教育投入水平显著正相关,而影响资源配置效率的具体因素在不同地区各有不同。Based on the discussion of the status quo and action mechanism of sci-tech innovation resource allocation,this paper applied data envelopment analysis and DEA-Tobit two-step method,then selected 11 prefecture-level cities in Shanxi Province as samples,further measured samples'data of sci-tech innovation resource allocation efficiency from 2009 to 2018 and analyzed its influencing factors and optimized paths.We found that,there was a positive correlation among the allocation efficiency in Shanxi and provincial economic development level and government education investment,while the specific influencing factors differed in regions.

关 键 词：科技创新 资源优化配置 MALMQUIST指数 DEA-TOBIT 路径优化 

分 类 号：F061.5[经济管理—政治经济学]