首页|数据要素嵌入、双元创新与制造业转型升级

数据要素嵌入、双元创新与制造业转型升级

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数据作为全新的生产要素成为制造业转型升级的重要引擎,双元创新是助推数据要素有效嵌入实体经济的关键动力.基于双元创新视角,剖析数据要素嵌入赋能制造业转型升级的理论机制,运用2008-2020年中国A股制造业上市企业数据进行实证检验.结果显示:数据要素嵌入能够有效赋能制造业转型升级,该结论在一系列稳健性检验后依然成立;双元创新在数据要素嵌入赋能制造业转型升级中发挥着中介作用,且更多地通过探索式创新促进制造业转型升级,利用式创新的中介效应尚不显著;进一步分析发现,数据要素嵌入赋能制造业转型升级的影响效应在企业内部微观特征和外部宏观环境层面存在异质性.因此,建议应有效推进数据要素市场化配置改革,营造数据要素赋能外部环境;持续提升企业探索式创新动力,激发数据要素赋能制造业转型升级的活力;积极引导企业数字化转型,推动数据要素与传统要素的深度融合.
Data Element Embedding,Dual Innovation and Manufacturing Transformation and Upgrading
As a new factor of production,data has become an important engine for the transformation and upgrading of manufacturing.Dual innovation is the key driving force for data elements to be effectively embedded in real economy.Based on the perspective of dual innovation,this paper analyzes the theoretical mechanism of data elements embedded in the transformation and upgrading of manufacturing is analyzed,and an empirical test is made by using the data of China's A-share listed manufacturing enterprises from 2008 to 2020.The results show that:data embedding can effectively enable the transformation and upgrading of manufacturing,and it is still valid through a series of robustness tests.The dual innovation plays an intermediary role in the transformation and upgrading of the manufacturing by data embedding,and it promotes the transformation and upgrading of the manufacturing by exploring innovation.Further analysis shows that,the effect of data factor embeddedness on the transformation and upgrading of enabling manufacturing is heterogeneous at both the micro-level and the macro-level.Therefore,it is suggested that the reform of market-based allocation of data elements should be effectively carried out to create an external environment,in which data elements can enable enterprises to innovate continuously and stimulate the vitality of transformation and upgrading of manufacturing,and also actively guide the enterprise digital transformation,promote the deep integration of data elements and traditional elements.

data element embeddingdata element empowermenttransformation and upgrading of manufacturingexploratory innovationutilization innovation

李黎、雍会、王磊、张记元

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石河子大学经济与管理学院,新疆石河子 832000

水利部发展研究中心,北京 100038

数据要素嵌入 数据要素赋能 制造业转型升级 探索式创新 利用式创新

国家社会科学基金项目

22BJY198

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(4)
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