数据包络分析
资源配置
资源(消歧)
生产(经济)
阶段(地层学)
过程(计算)
产业组织
产品(数学)
中国
业务
环境经济学
计算机科学
经济
微观经济学
数学
计算机网络
古生物学
生物
数学优化
几何学
政治学
法学
操作系统
作者
Yongfeng Zhu,Zilong Wang,Yang Jie,Zhiwen Zhang
标识
DOI:10.1080/09537325.2022.2157254
摘要
Innovation resource allocation performance is an important driver of global competitiveness of nations. Due to the complexity of innovation production process, the structure of the innovation resource allocation is no longer single, but most of the existing studies on the innovation resource allocation performance are based on series cases overlooking parallel cases. We evaluate the innovation resource allocation efficiency of Chinese industrial enterprises from the research and development (R&D) stage and the commercialisation stage, where the commercialisation stage consists of two parallel sub-stages (technology commercialisation stage and product commercialisation stage). As a result, we develop a cross two-stage data envelopment analysis model (TS-DEA model) with nested parallel structure. The result shows that traditional DEA model overestimates the efficiency score due to pursuing the efficiency optimisation for decision-making unit (DMU). Compared with western China, central China was more efficient in allocating innovation resource for industrial enterprises.
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