工业技术经济2025，Vol.44Issue(4)：80-89,10.DOI:10.3969/j.issn.1004-910X.2025.04.007
数据要素和传统要素协同配置与企业新质生产力
The Synergistic Allocation Between Data Factor and Traditional Factors and Enterprise New Quality Productivity of Enterprises
摘要
Abstract
The new quality productivity(NQP)emphasizes the organic synergy between production factors and means of pro-duction,with data elements acting as a"catalyst"to achieve innovative allocation of both traditional and new production factors.Using data from China's A-share listed companies from 2015 to 2023,this paper explores the mechanisms through which data ele-ments and traditional factors synergistically promote NQP.The results reveal that the synergy between data and traditional factors not only directly enhances NQP but also follows an indirect path characterized by a"quantitative change"driven by improvements in foundational efficiency,progressing to a"qualitative change"through the optimization of superstructure.Furthermore,the synergy between data and labor factors demonstrates a stronger effect on enhancing NQP compared to the synergy between data and capital factors.This effect is more pronounced in high-tech enterprises and non-heavy-polluting enterprises.These findings correct the misconception of"blindly pursuing novelty"in developing NQP and guide enterprises to leverage their comparative advantages.By fostering a synergistic mechanism that"creates new elements through traditional factors and transforms traditional factors through new elements",this study provides a novel approach to the progressive development of NQP.关键词
新质生产力/数据要素/资本要素/劳动力要素/协同/比较优势/渐进式发展/量变到质变Key words
new quality productivity/data element/capital element/labor element/synergy effect/relative advantage/gradual development/quantitative change to qualitative change分类
管理科学引用本文复制引用
韩永彩,程丽雯,钟昌标..数据要素和传统要素协同配置与企业新质生产力[J].工业技术经济,2025,44(4):80-89,10.基金项目
国家哲学社会科学重大招标课题"新基建促进区域协调发展的长效机制研究"(项目编号:22&ZD111) （项目编号:22&ZD111）
广东省普通高校青年创新人才类项目"数字化转型、要素错配与制造业高质量发展的作用机制研究"(项目编号:2022WQNCX204). （项目编号:2022WQNCX204）
