首页|"两化融合"贯标对企业数字创新的影响机制研究

"两化融合"贯标对企业数字创新的影响机制研究

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数字创新是驱动数字经济发展的要核,研究如何提升企业尤其是制造业企业的数字创新水平对于加快产业转型升级和制造强国建设具有重要意义.本文基于 2007-2020 年中国制造业上市公司数据,借助"两化融合"贯标试点的准自然实验,使用多期双重差分模型评估了"两化融合"贯标政策对企业数字创新的影响.结果显示,"两化融合"贯标显著提升了企业数字经济专利的申请数量.该结论通过平行趋势检验、倾向匹配得分、Heckman检验、安慰剂检验和替换变量等系列稳健性检验后依旧成立.其中,替换变量的结果显示,贯标政策促进了企业的"实质性"数字创新,优化了企业的数字专利结构,提升了企业数字创新质量.机制分析显示,"两化融合"贯标主要通过缓解融资约束、提高数字化补贴和提升研发强度三条路径促进企业数字创新.异质性分析表明,"两化融合"贯标对处于成长期企业的数字经济专利申请具有显著的促进作用,对成熟期和衰退期企业的作用并不显著;"两化融合"贯标显著促进了非数字经济企业的数字创新,对数字经济企业的作用并不显著;"两化融合"贯标显著促进了发达金融市场企业的数字创新,对处于不发达金融市场企业的作用并不显著.研究结论为推动"两化"深度融合,加速制造业数字创新发展,实现制造强国建设提供了启示.
Impact Mechanism of Integration of Informatization and Industrialization on Digital Innovation in Enterprises
The digital economy has become an important driving force for high-quality economic development.However,the penetration rate of the digital economy in the manufacturing sector in China is only 21%,much lower than the average level in developed countries.Manufacturing enterprises are facing a contradiction between the demand for digital transformation and the lack of digital innovation capabilities.Therefore,it is important to study how to improve the digital innovation level of enterprises,especially manufacturing enterprises,for accelerating industrial transformation and upgrading and building a manufacturing power.Based on the data of listed companies in Chinese manufacturing industry from 2007 to 2020,a multi-period difference-in-differences model is utilized to examine the impact of the"integration of industrialization and industrialization"policy on digital innovation within enterprises.Then,the role path of pilot policies in promoting digital innovation in enterprises is analyzed through mechanism verification analysis.Finally,the heterogeneity effect of pilot policies is analyzed through group testing.The results show that the pilot policy can significantly promote the level of digital innovation of enterprises,and the number of digital economy patent applications in pilot enterprises increased by approximately 15.2%.It still holds up after robustness tests such as parallel trend test,propensity score matching,Heckman test,placebo test,and substitution variable.Mechanism analysis shows that pilot policies mainly promote digital innovation in enterprises through paths such as easing financing constraints,increasing digital subsidies,and enhancing R&D intensity.The results of heterogeneity analysis show that the impact of pilot policies on companies in the growth phase is significantly positive,while it is not significant for companies in the mature and declining phases.Pilot policies are more effective in promoting digital innovation in non-digital economy companies,while the impact on digital companies is not significant.Pilot policies have a specific and significant promoting effect on companies in developed financial markets,while the effect is not significant for companies in underdeveloped financial markets.The research conclusions provide empirical evidence for promoting the deep integration of informatization and industrialization,accelerating the development of digital innovation in manufacturing industry,and realizing the construction of manufacturing power and network power.The marginal contribution lies in examining the driving factors of enterprise digital innovation from a policy-driven perspective,filling a gap in existing research.By constructing quasi-natural experiments,the causal effect of pilot policies on enterprise digital innovation is identified more accurately,overcoming the shortcomings of existing literature in addressing endogeneity issues.The origin and development process of the pilot policies for the"integration of informatization and industrialization"are examined,and the practical effects of these policies on enterprise digital innovation are evaluated from the perspective of companies.It reveals the mechanisms and heterogeneity in the impact of the pilot policies on enterprise digital innovation.

digital innovationintegration of industrialization and industrializationquasi-natural experimentdifference-in-differences modelmanufacturing industry

张鑫和、岳书敬、赖晓冰

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东南大学 经济管理学院,江苏 南京 211189

东南大学 数字经济与技术创新研究院,江苏 南京 211189

数字创新 两化融合 准自然实验 双重差分模型 制造业

国家社会科学基金一般项目

21BJL056

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(8)
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