摘要
作为数字时代的新型生产要素,数据能否有效赋能新质生产力发展值得深入探究。本文基于数据要素赋能新质生产力发展内在机理的理论分析,使用2013—2023年我国省份面板数据,运用双向固定效应、中介效应以及门槛效应模型实证估测数据要素对新质生产力发展水平的影响。研究显示,数据要素显著促进了新质生产力发展,且该核心结论已通过系列稳健性检验。机制检验表明,数据要素主要通过强化创新绩效、推进产业结构升级、提高劳动生产率三种途径来推动新质生产力发展。门槛效应分析显示,数据要素对新质生产力发展的赋能效应存在双重门槛效应且呈倒“U”型特征。进一步研究发现,对于经济发达省份、高市场化省份,数据要素对新质生产力发展的正向作用更为强烈。研究结论为充分释放数据要素价值潜能、因地制宜发展新质生产力提供了重要的实证依据和政策启示。
As a new type of production factor in the digital era,whether data can effectively empower the development of new-quality productive forces should be explored.Based on the theoretical analysis of the inherent mechanism by which data element drives the development of new-quality productive forces,this paper empirically estimates the impact of data element on the level new-quality productive forces using the provincial panel data from 2013 to 2023 in China,employing two-way fixed effect,mediation effect,and threshold effect models.The research shows that data element significantly promotes the development of new-quality productive forces,and this core conclusion has passed a series of robustness tests.Mechanism tests indicate that data element mainly promotes the development of new-quality productive forces through three pathways:enhancing innovation performance,advancing the upgrading of industrial structure,and improving labor productivity.Threshold effect analysis reveals that the empowering effect of data element on new-quality productive forces exhibits a dual threshold effect and an inverted“U”shape.Further research finds that for economically developed provinces,highly market-oriented provinces,the positive effect of data element on new-quality productive forces is stronger.The research conclusion provides important empirical evidence and policy guidance for fully unleashing the value potential of data elements and developing new-quality productive forces according to local conditions.
作者
张超
蒋天颖
Zhang Chao;Jiang Tianying(Institute of International Economics and Trade,Ningbo University of Finance&Economics)
出处
《调研世界》
2025年第12期39-51,共13页
The World of Survey and Research
基金
浙江省哲学社会科学规划课题“数据要素驱动长三角实体经济高质量发展的机理、路径与政策研究”(23NDJC334YB)
全国统计科学研究优选项目“新质生产力背景下产业集聚的创新效应测度及其引导政策研究”(2024LY089)
教育部人文社会科学研究一般项目“专精特新企业新质生产力的动态演化、形成机理与实践路径研究”(24YJC630283)的资助。
关键词
数据要素
新质生产力
创新绩效
产业结构升级
劳动生产率
Data Element
New-Quality Productive Forces
Innovation Performance
Upgrading of Industrial Structure
Labor Productivity
