| 数字经济赋能制造业转型升级——来自重庆市面板数据的证据 |
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| 引用本文：熊卓然1，张志民2，钟玮3.数字经济赋能制造业转型升级——来自重庆市面板数据的证据[J].财经理论与实践,2025,(5):146-152 |
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| 中文摘要:基于2010—2022年重庆市各区县的面板数据，构建中介效应与门槛效应模型，研究数字经济驱动制造业转型升级的内在作用路径与非线性关系。结果发现：数字经济对制造业转型升级具有显著的正向推动作用；在数字经济推动制造业转型升级过程中，全要素生产率发挥中介传导作用，数字化产业链水平发挥门槛调节效应；区域异质性分析表明，重庆主城都市区依托创新生态实现高效赋能，而渝东北、渝东南受制于数字基建形成弱传导困局。鉴于此，应着力提升全要素生产率，激发制造业转型升级的内生动力，突破数字化产业链协同门槛，强化区域协同联动与差异化政策支持。 |
| 中文关键词:数字经济 制造业转型升级 全要素生产率 数字化产业链 中介效应 |
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| Digital Economy Empowering the Transformation and Upgrading of Manufacturing: Evidence from Panel Data in Chongqing |
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| Abstract:Based on panel data from districts and counties in Chongqing from 2010 to 2022, this study constructs a mediating effect model and a threshold effect model to explore the internal mechanisms and nonlinear relationships through which the digital economy drives the transformation and upgrading of the manufacturing sector. The results show that the digital economy has a significant positive impact on the transformation and upgrading of manufacturing. In this process, total factor productivity plays a mediating role, while the level of digital industrial chains exerts a threshold-regulating effect. Regional heterogeneity analysis reveals that the metropolitan core area of Chongqing achieves efficient empowerment through an innovation-driven ecosystem, whereas the northeastern and southeastern regions face challenges due to underdeveloped digital infrastructure, resulting in weak transmission effects. Therefore, it is essential to enhance total factor productivity, stimulate endogenous momentum for the transformation and upgrading of manufacturing, overcome the threshold of digital industrial chain collaboration, and strengthen regional coordination along with differentiated policy support. |
| keywords:digital economy manufacturing transformation and upgrading total factor productivity digital industrial chain mediating effect |
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