经济学院知识库

随着信息技术的不断演进，数字经济已经成为我国实现高质量发展的核心驱动力。数字经济通过利用先进的信息技术，实现了数据的快速流动、高效处理和广泛应用，推动了产业创新、转型升级和经济增长。在“十四五”规划期间，党中央对如何加速数字化发展作出了明确战略指示，强调要实现数字技术与实体经济的深度融合，以促进产业升级、提高生产效率、优化资源配置，从而增强经济效益和国际竞争力。产业数字化作为数字经济的重要组成部分，正在深刻改变着传统产业的运行方式和商业模式。通过应用大数据、云计算、人工智能等先进技术，产业数字化不仅能够提升生产效率、降低成本、优化供应链管理，进而提升企业竞争力和市场地位，还可以促进传统产业与新兴产业的融合发展，催生新业态、新模式，为经济发展注入新动力。深入了解产业数字化发展现状，探讨其对区域经济发展的影响机制，对于我们发掘新的经济发展优势、推动经济向更高水平发展具有不可忽视的重要意义。
本文在综合考虑产业数字化发展内涵的基础上，从三次产业视角出发，构建产业数字化发展评价指标体系，运用熵值法对2011年-2022年全国30个省（市、区）的产业数字化发展水平进行测度。研究发现，我国产业数字化总体水平逐年递增，但存在较大的空间分异性。从产业维度看，二产和三产数字化对区域经济发展的贡献大于一产数字化，受经济发展基础、产业属性、关键技术和核心零部件等因素的制约，我国产业数字化形成了向中东部地区锁定的状态，致使东西部地区发展差距拉大。从区域维度看，我国六大主要城市群在产业数字化发展中的优势不断强化，广东、浙江、江苏、山东等核心城市的辐射带动作用不断增强，我国产业数字化形成向主要城市群集聚的梯队式的分布格局，有利于带动周边欠发达地区的经济发展。上述结论初步论证了产业数字化能够促进我国区域经济发展，为进一步验证产业数字化对区域经济发展的贡献，结合影响区域经济发展的要素，从资源配置效率、技术创新、经济结构、对外开放、生态环境、基础设施建设等六个方面构建区域经济发展的综合评价指标体系，运用熵值法测度全国30个省（市、区）的区域经济发展水平，深入探讨产业数字化对区域经济发展的影响效应，运用基准回归模型、门槛回归模型和空间杜宾模型等实证检验产业数字化对区域经济发展的促进作用、区域异质性、非线性影响和空间溢出效应。研究结果表明：第一，产业数字化能够在整体上促进我国区域经济发展水平，其赋能效应呈现出先抑制后促进的“U”型非线性影响。第二，产业数字化对区域经济发展的影响存在显著的区域异质性。在虹吸效应和循环累积因果效应的作用下，产业数字化对我国东部和中部地区经济发展的贡献大于西部和东北地区。第三，产业数字化对区域经济发展具有显著的正向空间溢出效应，不仅能促进本地经济发展，还能够带动相邻地区经济水平的提高。为此，本文提出如下对策建议：提高产业技术创新、加强中西部地区基础设施建设、引进高标准化产业、强化产业数字化转型顶层设计和因地制宜开展数字化发展战略等发展思路。

With the continuous evolution of information technology, the digital economy has become the core driving force for realizing high-quality development in China. Through the use of advanced information technology, the digital economy realizes the rapid flow, efficient processing and wide application of data, and promotes industrial innovation, transformation and upgrading, and economic growth. During the 14th Five-Year Plan period, the Party Central Committee made clear strategic instructions on how to accelerate the development of digitization, emphasizing the need to realize the in-depth integration of digital technology with the real economy, in order to promote industrial upgrading, improve productivity, optimize resource allocation, and thus enhance economic efficiency and international competitiveness. Industrial digitization, as an important part of the digital economy, is profoundly changing the operation mode and business model of traditional industries. Through the application of big data, cloud 
computing, artificial intelligence and other advanced technologies, industrial digitization can not only improve production efficiency, reduce costs, optimize supply chain management, and thus enhance the competitiveness and market position of enterprises, but also promote the integration and development of traditional and emerging industries, give rise to new forms and models, and inject new impetus for economic development. Understanding the current situation of industrial digitalization and exploring its impact mechanism on regional economic development is of great significance for us to explore new economic development advantages and promote economic development to a higher level.
On the basis of comprehensive consideration of the connotation of industrial digitalization development, this paper constructs an evaluation index system for the development of industrial digitalization in China from the perspective of the three industries, and uses the entropy value method to measure the level of industrial digitalization development of 30 provinces (municipalities and districts) across the country in the period of 2011-2022. It is found that the overall level of industrial digitization in China is increasing year by year, but there is a large spatial heterogeneity. From the industrial dimension, digitization of secondary and tertiary industries contributes more to regional economic development than the digitization of primary industries. Constrained by factors such as the foundation of economic development, industrial attributes, key technologies and core components, the digitization of China's industries has formed a state of locking in the central and eastern regions, which results in the widening of the development gap between the eastern and western regions. From the regional dimension, China's six major urban agglomerations in the development of industrial digitization advantages continue to strengthen, Guangdong, Zhejiang, Jiangsu, Shandong and other core cities of the role of radiation driven by the increasing digitalization of China's industry to the major urban agglomerations of the echelon distribution pattern, which is conducive to driving the economic development of the surrounding less developed regions. The above conclusion initially proves that industrial digitalization can promote China's regional economic development, in order to further verify the contribution of industrial digitalization to regional economic development, combined with the elements affecting regional economic development, from the five aspects of resource allocation efficiency, technological innovation, economic structure, opening up, ecological environment, infrastructure construction, etc., to construct a 
comprehensive evaluation index system of regional economic development, and to use entropy value method to measure the national The entropy method is used to measure the regional economic development level of 30 provinces (cities and districts), to explore the impact of industrial digitalization on regional economic development, and to empirically test the promotional effect, regional heterogeneity, non-linear impact and spatial spillover effect of industrial digitalization on regional economic development by using benchmark regression model, threshold regression model and spatial Durbin model. The results of the study show that, firstly, industrial digitization can promote China's regional economic development level as a whole, and its empowering effect shows a "U"-shaped nonlinear impact of inhibition followed by promotion. Second, there is significant regional heterogeneity in the impact of industrial digitalization on regional economic development. Under the siphon effect and circular cumulative causal 
effect, industrial digitalization contributes more to the economic development of the eastern and central regions of China than the western and northeastern regions. Third, industrial digitization has significant positive spatial spillover effects on regional economic development, which not only promotes local economic development, but also leads to the improvement of the economic level of neighboring regions. In this regard, this paper puts forward the following countermeasures: improving industrial technological innovation, strengthening infrastructure construction in the central and western regions, introducing highly standardized industries, strengthening the top-level design of industrial digital transformation, and carrying out the digital development strategy in accordance with local conditions and other development ideas.