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数据要素集聚赋能数字新质生产力研究

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数字经济时代数据要素渗透于社会生产全过程,促使劳动者、劳动资料和劳动对象等生产力中诸多要素发生变革,成为赋能新质生产力发展的重要引擎.对此,基于 2011-2021 年中国 278 个城市的数据,测算数字新质生产力指标,并运用双重差分模型识别国家大数据综合试验区建设的数据要素集聚对数字新质生产力的影响.研究结果表明:数据要素集聚显著地促进了数字新质生产力的发展.经过安慰剂检验、PSM-DID、内生性处理等一系列稳健性检验后,结论依然成立.机制分析表明,数据要素集聚通过驱动人力资本升级、提升技术创新水平和增强数字基础设施服务效能,赋能数字新质生产力发展.进一步分析发现,国家大数据综合试验区建设的数据要素集聚对数字新质生产力具有显著的正向空间溢出效应,且该效应在不同区域表现出一定的异质性.基于研究结论,建议持续推进国家大数据综合试验区建设,因地制宜进行定位和布局;同时,应完善人才培养机制、加强数据安全防护、创建区域技术创新联盟平台,以充分释放数字新质生产力.
Research on the Agglomeration of Data Elements Empowering Digital New Quality Productive Forces
In the era of digital economy,data elements permeate the entire process of social production,driving transformations in various productivity factors such as labor,production materials,and production objects,thus becoming a crucial engine for the development of new quality productive forces.To this end,a digital new quality productive forces index is constructed using data from 278 cities in China from 2011 to 2021,and a difference-in-differences model is employed to identify the impact of data element agglomeration in National Big Data Comprehensive Pilot Zones on digital new quality productive forces.The results indicate that data element agglomeration significantly promotes the development of digital new quality productive forces.After a series of robustness checks,including placebo tests,PSM-DID,and endogeneity treatment,the conclusions remain valid.Mechanism analysis reveals that data element agglomeration fosters the development of digital new quality productive forces by upgrading human capital,driving technological innovation,and enhancing digital infrastructure capabilities.Further analysis shows that the data element agglomeration in National Big Data Comprehensive Pilot Zones has a significant positive spatial spillover effect on digital new quality productive forces,with varying degrees of heterogeneity across different regions.Based on the research findings,it is recommended to continue advancing the construction of the National Big Data Comprehensive Pilot Zones,with localized positioning and planning.Additionally,it is essential to improve talent development mechanisms,enhance data security protection,and establish regional technology innovation alliance platforms to stimulate the release of digital new quality productive forces.

data element agglomerationdigital new quality productive forcesNational Big Data Comprehensive Pilot Zonesspatial spillover effectsdifference-in-differences

梁文明、李娜

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中国财政科学研究院,北京 100142

江苏省社会科学院,江苏 南京 210004

数据要素集聚 数字新质生产力 国家大数据综合试验区 空间溢出效应 双重差分模型

国家自然科学基金面上项目

72073030

2024

统计与信息论坛
西安财经学院,中国统计教育学会高教分会

统计与信息论坛

CSTPCDCSSCICHSSCD北大核心
影响因子:0.857
ISSN:1007-3116
年,卷(期):2024.39(10)
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