期刊文献+

大数据背景对制造业的发展的影响——技术创新的中介效应

Impact of Big Data Background on the Development of Manufacturing Industry—The Intermediary Effect of Technology Innovation
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摘要 在国家人口老龄化,劳动力下降,迫切需要创新的社会背景下,中国制造业正面临着发展中的瓶颈期,急需借助互联网以及大数据、人工智能等来驱动制造业企业进行自我的升级。在大数据对现代制造业企业产生的影响研究生,本文分析了不同效应的不同影响,并基于2008~2019年的企业微观数据,通过中介模型实证检验了大数据对当代制造业企业的影响机制,并进行企业所有制的异质性检验,结果表明大数据通过激发企业的技术创新来驱动企业进行生产里发展与自我升级,而对国企来说大数据的发展给国企带来更大的优势,针对以上结论,本文还给出了建议。 Under the social background of aging population and declining labor force and urgent need for in-novation, China’s manufacturing industry is facing a bottleneck period in its development. It is ur-gently needed to use the Internet, big data and artificial intelligence to drive manufacturing enter-prises to upgrade themselves. In the influence of big data on modern manufacturing enterprises graduate students, this paper analyzes the influence of different effects, and based on the 2008~2019 enterprise micro data, through the intermediary model empirical test the influence mechanism of big data on contemporary manufacturing enterprises, and the heterogeneity of the enterprise ownership, the results show that big data by stimulating enterprise technology innova-tion drive enterprise production development and self upgrading, and big data development of state-owned enterprises bring greater advantage, in view of the above conclusion, this paper also gives Suggestions.
作者 张花蝶
出处 《应用数学进展》 2022年第11期8281-8289,共9页 Advances in Applied Mathematics
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