业务
制造业
中国
先进制造业
匹配(统计)
实证研究
产业组织
质量(理念)
倾向得分匹配
制造工程
工程类
营销
哲学
认识论
统计
数学
法学
政治学
作者
Yang Jie,Limeng Ying,Manru Gao
标识
DOI:10.1080/17517575.2020.1746407
摘要
Artificial intelligence is increasingly used in advanced manufacturing systems to realise intelligent manufacturing. However, there is still a lack of empirical research on the impact of intelligent manufacturing on enterprise performances, especially for China. The author adopts the enterprise panel data of intelligent manufacturing implemented by China's manufacturing industry in 2014 to 2019, and uses propensity score matching with difference in differences (PSM-DID) method to investigate the impact of intelligent manufacturing on financial performance and innovation performance. The research yields two main conclusions. First, the implementation of intelligent manufacturing has a significant role in promoting the financial performance and innovation performance of manufacturing enterprises. Second, technology-intensive industries improve the quantity of innovation by implementing intelligent manufacturing, thus promoting the improvement of short-term financial performance, but the improvement of innovation quality has a negative impact on short-term financial performance. In labour-intensive industries, the relationship between financial performance and innovation performance is not obvious.
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