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科研成果

【科研论文】陈伟教授团队在《Technology in Society》期刊发表研究论文

2024年03月20日
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论文信息

Chen W, Song H T. National innovation system: Measurement of overall effectiveness and analysis of influencing factors[J]. Technology in Society(中科院SSCI一区Top期刊), 2024, 77: 102514.

https://doi.org/10.1016/j.techsoc.2024.102514

【作者信息

第一作者:陈伟,教授、博士生导师,研究方向:供应链管理、技术创新管理

通讯作者:宋泓锑,陈伟教授指导的博士研究生,研究方向:技术创新管理

基金支持

国家社科基金项目(批准号:23BGL063):数字经济时代国家创新体系的整体效能测度与优化策略研究。

【论文摘要】

China has made remarkable achievements in the construction of the National Innovation System (NIS), but the theoretical and empirical studies on the NIS’s overall effectiveness have lagged behind the policy and management practice. From the perspective of system theory, this study defines the concept of NIS’s overall effectiveness, and constructs a comprehensive evaluation system of NIS’s overall effectiveness based on the panel data of China (mainland) from 2012 to 2020, using a combination assignment method and coupled coordination model for measurement and analysis. We also conducted a configuration analysis of the factors influencing the NIS’s overall effectiveness using a fuzzy set qualitative comparative analysis approach (fsQCA). The results show that: First, from a temporal perspective, China’s NIS’s overall effectiveness has grown by leaps and bounds, with a 326.77% increase in 2020 compared to 2012. Second, from a spatial perspective, the top five regions in terms of the NIS’s overall effectiveness from 2012 to 2020 are Guangdong Province, Jiangsu Province, Beijing, Shanghai, and Zhejiang Province, while the bottom five regions are Yunnan Province, Ningxia Province, Guizhou Province, Gansu Province, and Qinghai Province. The spatial distribution pattern of the NIS’s overall effectiveness is "East > Central > West". Third, the factors driving the NIS’s overall effectiveness are in three Configurations. The first type is a two-wheel drive of government innovation support and infrastructure construction, a typical case is Jiangsu Province. The second type is the two-wheeled government innovation support and digital economy, a typical case is Zhejiang Province. The third type is the three-legged government-infrastructure-digital economy support type, a typical case is Guangdong Province.


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