数字化转型对制造企业创新的影响

Xiulian Chen
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引用次数: 0

摘要

随着大数据、人工智能等信息技术的迅猛发展,世界经济正在进入以数字技术为驱动的新经济时代。在《中国制造 2025》的大背景下,新一代数字技术对中国制造业生产力变革产生了根本性影响。同时,也为中国制造业实现高质量发展提供了强大动力。当前,如何充分发挥数字化创新要素的驱动作用,实现绩效提升,已成为国家和企业关注的重点。本文基于2007-2021年A股上市制造业企业数据,采用多角度测度企业数字化转型,运用固定效应模型验证数字化转型对创新的促进作用,进一步运用多期DID模型,通过平行趋势检验验证数字化转型对制造业企业创新绩效的影响。通过实证检验发现,数字化转型能显著促进企业创新绩效的提升。研究结论不仅进一步丰富了数字化转型背景下企业创新的相关研究,而且为企业数字化转型战略的制定和实施提供了理论依据,具有一定的政策含义,对制造业企业更好地开展数字化转型实践具有一定的参考价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Impact of Digital Transformation on Manufacturing Enterprises Innovation
With the rapid development of big data, artificial intelligence and other information technologies, the world economy is entering a new economic era driven by digital technology. Under the background of China Manufacturing 2025, the new generation of digital technology has had a fundamental impact on the reform of China's manufacturing productivity. It also provides a strong driving force for China's manufacturing industry to achieve high-quality development. At present, how to give full play to the driving role of digital innovation elements and achieve performance improvement has become a key concern of the country and enterprises. Based on the data of A-share listed manufacturing enterprises from 2007 to 2021, this paper uses multiple perspectives to measure the digital transformation of enterprises, uses the fixed effect model to verify the promotion effect of digital transformation on innovation, and further uses the multi-period DID model to verify the impact of digital transformation on the innovation performance of manufacturing enterprises through the parallel trend test. Through the empirical test, it is found that digital transformation can significantly promote the improvement of enterprise innovation performance. The research conclusions not only further enrich the relevant research on enterprise innovation under the background of digital transformation, but also provide a theoretical basis for the formulation and implementation of enterprise digital transformation strategy, have certain policy implications, and have certain reference value for manufacturing enterprises to better carry out digital transformation practice.
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