首页|制造业服务化对企业全要素生产率的影响效应与机制检验

制造业服务化对企业全要素生产率的影响效应与机制检验

扫码查看
制造业高质量发展决定经济高质量发展,制造业服务化是制造业高质量发展的现实选择,而全面提升全要素生产率是制造业高质量发展的动力源泉。选取2011-2022年长三角地区省级服务型制造示范企业为样本,采用双向固定效应模型实证检验制造业服务化对企业全要素生产率的影响。结果表明:提高制造业企业服务化水平能显著提升全要素生产率;且创新投入与数字化转型在制造业服务化与企业全要素生产率影响机制中发挥中介作用和调节作用。同时,制造业服务化对全要素生产率的促进作用在小规模、非国有和高科技企业中更为显著,制造业企业应强化科技创新的主体地位,以数字化转型为核心,依托服务化提高企业生产效率与产业链、价值链协同价值。
Impact and Mechanism Test of Manufacturing Servitization on Enterprises'Total Factor Productivity
High-quality development of manufacturing industry holds the key to high-quality development of economy,and servitization of manufacturing industry is a practical approach towards achieving this high-quality development.Crucially,comprehensively improving total factor productivity stands as the driving force for high-quality development of manufacturing industry.This paper selects the provincial-level service-oriented manufacturing demonstration enterprises in the Yangtze River Delta region from 2011 to 2022 as samples,and empirically investigates the impact of manufacturing servitization on the total factor productivity of enterprises by using a two-way fixed-effects model.The results show that improving servitization of manufacturing enterprises can significantly enhance total factor productivity.Furthermore,innovation investment and digital transformation act as mediating and moderating factors in the mechanism of the impact of servitization and total factor productivity.At the same time,the promotion effect of manufacturing servitization on total factor productivity is more significant in small-scale,non-state-owned and high-tech enterprises.Therefore,manufacturing enterprises should prioritize scientific and technological innovation,embrace digital transformation as a core strategy,and rely on servitization to improve their productivity and the synergistic value of industrial chain and value chain.

servitization of manufacturing enterprisestotal factor productivityinnovation inputsdigital transformation

魏遥、王雪

展开 >

阜阳师范大学 商学院,安徽 阜阳 236037

制造业服务化 全要素生产率 创新投入 数字化转型

安徽省哲学社会科学规划重点项目

AHSKZ:2019D003

2024

山东科技大学学报(社会科学版)
山东科技大学

山东科技大学学报(社会科学版)

CHSSCD
影响因子:0.336
ISSN:1008-7699
年,卷(期):2024.26(4)
  • 24