%0 Journal Article
%T 数字化技术如何赋能传统行业，提升行业现代化水平——基于中国钢铁行业的实证分析<br>How Digital Technology Empowers Traditional Industries and Improves Industry Modernization—An Empirical Analysis Based on Chinese Steel Industry
%A 凌先冲
%A 葛畅
%J Advances in Applied Mathematics
%P 10-20
%@ 2324-8009
%D 2024
%I Hans Publishing
%R 10.12677/AAM.2024.131002
%X 传统行业现代化是当前国家战略的重要内容之一，数字化技术在此过程中发挥着越来越重要的作用。该文以中国钢铁行业为研究对象，使用希施玛(CSMAR)数据库中的钢铁企业上市公司数字化调查数据进行实证分析，从2011年至2021年的数据样本中筛选出共计44家钢铁行业上市公司的328条数据，基于面板固定效应模型与中介效应模型对数字化技术如何赋能钢铁行业现代化进行研究分析。研究结果表明将数字化技术应用于企业生产过程中，推动企业生产技术创新与企业生产设备升级，可以有力提升企业的生产管理水平，从而促进钢铁行业的现代化。根据分析结果，文章提出钢铁企业要加强数字化技术的应用，提高生产技术创新能力以及升级生产设备和工艺。<br />
The modernization of traditional industries is one of the important contents of the current national strategy, and digital technology is playing an increasingly important role in this process. This paper takes the Chinese steel industry as the research object, and uses the digital survey data of listed steel companies in CSMAR database for empirical analysis. A total of 328 data samples from 44 listed companies in the steel industry were selected from the data samples from 2011 to 2021. Based on the panel fixed effect model and intermediary effect model, the study analyzes how digital technology empowers the modernization of the steel industry. The study results indicate that the application of digital technology in the production process of enterprises can promote the innova-tion of production technology and the upgrading of production equipment, which can effectively improve the production management level of enterprises, and thus promote the modernization of the steel industry. Based on the analysis results, the article proposes that steel enterprises should strengthen the application of digital technology, improve the innovation ability of production tech-nology and upgrade production equipment and processes.
%K 数字化技术赋能水平，传统行业现代化，中国钢铁行业<br>Empowerment Level of Digital Technology
%K Modernization of Traditional Industries
%K Chinese Steel Industry
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=78912