产业组织
数据包络分析
业务
定性比较分析
公司治理
面板数据
政府(语言学)
经济
财务
计算机科学
数学优化
语言学
哲学
数学
机器学习
计量经济学
作者
Liping Qiu,Rongjian Yu,Feng Hu,Haiyan Zhou,Hao Hu
标识
DOI:10.1016/j.techfore.2023.122684
摘要
China's medical manufacturing industry is in a critical stage of transition to independent innovation. The government should create a business environment that is conducive to the development of the industry, and firms need to accurately identify obstacles to their innovation governance. However, the relationship between corporate governance (CG) and innovation efficiency remains unclear. Based on the CG configuration research framework, this study analyzes, using a three-stage data envelopment analysis (DEA) model and panel data fuzzy-set qualitative comparative analysis (fsQCA), the relationship between the internal governance and technological innovation efficiency (TIE) of China's medical manufacturing listed firms (CMMLFs) with the consideration of the impact of environmental parameters on innovation performance. The results show that (1) government support and medical spending among environmental factors create innovation input redundancy, and education investment and industrial competition promote innovation efficiency; and (2) the high TIE of firms is the outcome of multiple internal mechanisms, and there are five possible paths conducive to improving TIE and two mainstream, stable configurations for high technical efficiency. Our study systematically analyzes the external and internal organizational factors as two situational factors for CG and provides a reference for decision-making to further promote the efficient innovation of medical manufacturing firms.
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