Research on the Impact of Digital Transformation on Total Factor Productivity of Manufacturing Enterprises

Author:

Wei Yue

Abstract

Using a dataset of Chinese A-share manufacturing listed companies from 2007 to 2022, this study constructs an enterprise digitalization index based on annual report text data and empirically investigates the impact of digital transformation on the Total Factor Productivity (TFP) of manufacturing enterprises in China. The findings reveal that digital transformation significantly enhances the TFP of manufacturing enterprises through various mechanisms, including stimulating innovative product research and development, fostering innovation capabilities, optimizing resource allocation, and upgrading human capital. Moreover, the study explores the heterogeneity of this impact across different regions and enterprise levels. It is observed that the positive effect of digital transformation is more pronounced for enterprises in the eastern region compared to those in the central and western regions. High-tech enterprises experience a more significant impact than low-tech enterprises, and the effect is more substantial for non-state-owned enterprises compared to state-owned enterprises. Additionally, the impact is more pronounced for enterprises in the growth and maturity stages than for those in the decline stage. This paper also integrates theory with practical reality, offering policy recommendations relevant to manufacturing industry.

Publisher

Boya Century Publishing

Reference35 articles.

1. Zeng, Delin, Cai, Jiawei, Ouyang, Taohua. Research on Digital Transformation: Integrated Framework and Future Prospects [J]. Foreign Economics & Management, 2021, 43(05): 63-76.

2. Li, Shuqin, Wang, Haochen, Wang, Shouyang. Comprehensive Dynamic Evaluation of Industrial Robot Development under the Background of Artificial Intelligence: A Case Study of Manufacturing Industry [J]. Systems Engineering - Theory & Practice, 2020, 40(11): 2958-2967.

3. Lu, Yanqiu, Zhao, Bin, Song, Chang. Decision Logic, Failure Learning, and Digital Transformation Performance of Enterprises [J]. Foreign Economics & Management, 2021, 43(09): 68-82.

4. Jing, Wenjun, Sun, Baowen. Digital Economy Promotes High-Quality Economic Development: A Theoretical Analysis Framework [J]. Economist, 2019(02): 66-73.

5. Yuan, Chun, Xiao, Tusheng, Geng, Chunxiao, et al. Digital Transformation and Enterprise Division of Labor: Specialization or Vertical Integration [J]. China Industrial Economics, 2021(09): 137-155.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3