Year: 2025
Type: article
Abstract: 在当下全球经济加速数字化的背景下，企业纷纷将数字化转型视为提升竞争力和优化产业结构的关键战略。从新质生产力角度研究数字化转型对企业价值的影响，有助于揭示技术进步、创新能力与经济效益之间的联系，在政策推动的数字经济时代具有重要意义。《“十四五”规划与2035年远景目标纲要》强调加速数字中国建设，促进数字经济与实体经济融合。本文选取2011至2023年A股上市公司为样本，运用熵值法对新质生产力的三个细分指标(新劳动者、新劳动对象、新劳动资料)进行权重分配。研究发现：企业数字化转型显著提升新劳动者水平，为劳动者提供学习发展机会，增加人力资本价值。数字化转型对新劳动对象产生正面影响，在向数字平台转型的过程中，企业无形资产的重要性凸显，结合绿色技术与数字化管理，实现可持续发展。最后，数字化转型对新劳动资料也有正面影响，企业通过数据分析与智能管理实现精准的资源分配，提高资源使用效率并降低成本。In the current context of accelerated digitization of the global economy, enterprises have regarded digital transformation as a key strategy to enhance competitiveness and optimize industrial structure. Studying the impact of digital transformation on enterprise value from the perspective of new quality productivity can help reveal the link between technological progress, innovation capability and economic benefits, which is of great significance in the policy-driven digital economy. The Outline of the 14th Five-Year Plan and 2035 Vision emphasizes accelerating the construction of digital China and promoting the integration of the digital economy with the real economy. In this paper, A-share listed companies are selected as samples from 2011 to 2023, and the entropy method is used to assign weights to the three sub-indicators of new quality productivity (new workers, new labor objects, and new labor materials). The study finds that enterprise digital transformation significantly improves the level of new laborers, provides learning and development opportunities for laborers, and increases the value of human capital. Digital transformation has a positive impact on new labor objects, and the importance of enterprise intangible assets is highlighted during the transition to digital platforms, combining green technology and digital management to achieve sustainable development. Finally, digital transformation also has a positive impact on the new labor materials, and enterprises through data analysis and intelligent management to achieve accurate resource allocation, improve resource efficiency and reduce costs.
Author: 惠禹 汪
Institution: North China University of Technology
Language: English
Subfield: Strategy and Management
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4411430686