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作 者:韩永彩[1] 程丽雯 钟昌标[3] Han Yongcai;Cheng Liwen;Zhong Changbiao(School of Economics,Wuzhou University,Wuzhou 543003,China;School of Finance and Economics,Shenzhen Institute of Information Technology,Shenzhen 518172,China;Business School,Ningbo University,Ningbo 315211,China)
机构地区:[1]梧州学院经济学院,梧州543003 [2]深圳信息职业技术学院财经学院,深圳518172 [3]宁波大学商学院,宁波315211
出 处:《工业技术经济》2025年第4期80-89,共10页Journal of Industrial Technology and Economy
基 金: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);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)。
摘 要:新质生产力强调生产要素和生产资料的有机协同,以数据要素为“催化剂”,实现新旧生产要素的创新性配置。本文利用2015~2023年中国A股上市公司数据,探究数据要素与传统要素协同促进新质生产力的机制。结果显示:数据-传统要素协同不仅具有新质生产力提升的直接效应,还具有以底层基础效能提升下的“量变”递进到上层建筑结构优化下的“质变”的间接路径;数据-劳动力协同对新质生产力的提升效应强于数据-资本协同;高新技术企业和非重污染企业提升效应更强。此结果纠正了企业发展新质生产力“一味求新”的误区,引导企业遵循比较优势,打造“以传统要素创造新型要素、以新型要素改造传统要素”的要素协同机制,为循序渐进发展新质生产力提供新思路。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.
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