数据要素集聚如何驱动企业新质生产力发展?  

How Can Data Element Clustering Drive the Development of New Quality Productive Forces in Enterprises?

作　　者：石虹[1] 余少龙 Shi Hong;Yu Shaolong(School of Economics,Guizhou University,Guiyang 550025,China)

机构地区：[1]贵州大学经济学院,贵阳550025

出　　处：《技术经济》2024年第12期35-46,共12页Journal of Technology Economics

基　　金：贵州省理论创新课题专项项目“振兴贵州装备制造业对策研究”(GZLCZB-2022-3-10);环境保护部课题项目“促进部分‘双高’产品退出市场的经济政策研究”(2018A162);贵州省高校人文社会科学研究基地项目“马克思主义经济学与‘双碳’目标的地方实践研究”(23GZGXRWJD021)。

摘　　要：基于2012—2022年沪深A股上市公司的数据测度企业新质生产力水平,以国家级大数据综合试验区作为准自然实验构造多期双重差分模型研究数据要素集聚对企业新质生产力的影响。研究表明,数据要素集聚推动了企业新质生产力发展,这一结论在PSM-DID、安慰剂检验等稳健性检验后仍成立。机制检验表明,数据要素集聚可以通过提高人力资本水平、推动绿色技术创新赋能企业新质生产力发展;随着行业竞争、媒体关注的增强,数据要素集聚对企业新质生产力的推动作用增强。异质性分析表明,数据要素集聚对企业新质生产力的推动作用在非国有企业、技术密集型企业、高科技行业以及数字基础设施建设较完善的地区中更加显著。研究结论为如何利用新型生产要素培育新质生产力提供了启示。Based on the data of A-share listed companies in Shanghai and Shenzhen from 2012 to 2022 to measure the level of new quality productive forces of enterprises(NQP),a multi-period difference-in-differences model was constructed to study the impact of data factor agglomeration on the new quality productive forces of enterprises with the national-level big data comprehensive experimental zone as a quasi-natural experiment.It shows that data factor agglomeration promotes the development of new quality productive forces of enterprises,and this conclusion still holds after PSM-DID,placebo test and other robustness tests.Mechanism tests show that data factor agglomeration can empower the development of firms new quality productive forces by improving human capital level and promoting green technology innovation;with the increase of industry competition and media attention,the role of data factor agglomeration in promoting firms new quality productive forces increases.Heterogeneity analysis shows that the effect of data factor agglomeration on new productivity of enterprises is more significant in non-state-owned enterprises,technology-intensive enterprises,high-tech industries and regions with better digital infrastructure.The findings provide insights into how to utilize new factors of production to cultivate new productivity.

关 键 词：新质生产力 数据要素集聚 多期DID 准自然实验 高质量发展 

分 类 号：F273[经济管理—企业管理]