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制造业与数字经济产业关联融合测度及异质性研究

  • 李健旋
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  • 河海大学商学院,江苏 南京 211100
李健旋(1985-),女(汉族),江苏南京人,河海大学商学院,副教授,博士,研究方向:制造业创新、金融发展、产业经济,E-mail:melodyli1618@163.com.

收稿日期: 2022-10-11

  修回日期: 2022-12-27

  网络出版日期: 2025-09-10

基金资助

国家自然科学基金项目(72102061);国家自然科学基金项目(72004087);国家自然科学基金项目(72472045)

Research on the Measurement of the Association Fusion between Digital Economy & Manufacturing Industry and Its Regional Heterogeneity

  • Jianxuan Li
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  • Business School,Hohai University,Nanjing 211100,China

Received date: 2022-10-11

  Revised date: 2022-12-27

  Online published: 2025-09-10

摘要

基于数字经济及其核心产业统计分类(2021),本文选取数字产品制造业和数字技术应用业作为数字经济产业代表,然后运用修正的投入产出法对我国制造业与数字经济产业的关联融合效应和融合波及效应进行测度,并进一步探讨其存在的区域异质性。结果显示:从全国来看,制造业与数字经济产业之间存在正向的后向和前向关联融合效应,且制造业与数字经济产业的关联融合效应存在明显的行业间和部门间差异。从八大经济区来看,制造业与数字经济产业的后向和前向关联融合效应均存在显著的区域异质性。此外,数字经济产业对制造业的需求拉动力总体强于供给驱动力,但也存在明显的区域异质性:其中,三大沿海经济区、黄河中游和大西南经济区的制造业与数字经济产业之间以需求拉动作用为主,而大西北和东北经济区的数字产品制造业以及长江中游经济区的数字技术应用业与制造业之间以供给驱动作用为主。本文为推动数字经济与实体经济深度融合,加快推进制造业数字化转型,进而促进制造强国和数字中国建设提供了有益启示。

本文引用格式

李健旋 . 制造业与数字经济产业关联融合测度及异质性研究[J]. 中国管理科学, 2025 , 33(8) : 112 -122 . DOI: 10.16381/j.cnki.issn1003-207x.2022.2202

Abstract

The digital economy is an important driving force for global economic growth, and is playing an important role in accelerating China's economic development and achieving the transformation and upgrading of traditional industries. Manufacturing industry is an important driving force for achieving a new level of real economy, and its digitalization level urgently needs to be comprehensively improved. Promoting the integration of manufacturing and digital economy, have attracted increasing attention from researchers and policymakers.Based on the “statistical classification of digital economy and its core industries (2021)”, the digital product manufacturing industry and the digital technology application industry are selected as representatives of the digital economy industry. At the same time, the manufacturing industry is divided into three categories: resource intensive, labor intensive, and technology intensive. Then, the demand driven model and supply driven model in the input-output method are used to measure the backward and forward association fusion effects of manufacturing industry and digital economy industries in the eight major economic zones of China in 2012, 2015, 2017, and 2018, as well as the fsion ripple effect. Finally, its regional heterogeneity is further explored.The results show that from a national perspective, there are positive backward and forward association fusion effects between digital economy industry and manufacturing industry, and there are obvious differences among industries and departments in the association fusion effect of digital economy industry and manufacturing industry. From the perspective of the eight economic zones, there are significant regional heterogeneities in the backward and forward association fusion effects of digital economy industry and manufacturing industry. In addition, the demand pulling force of digital economy industry to manufacturing industry is generally stronger than the supply driving force, but there are also obvious regional heterogeneities: Among them, the digital economy industry and manufacturing industry in the three coastal economic zones, the middle reaches of the Yellow River and the southwest economic zone are mainly pulled by demand, while the digital product manufacturing industry in the northwest and northeast economic zones and the digital technology application industry and manufacturing industry in the middle reaches of the Yangtze River economic zone are mainly driven by supply. The results of this paper provides useful policy enlightenment for promoting the deep integration of digital economy and substantial economy, accelerating the digital transformation of manufacturing industry, and facilitating the construction of manufacturing power and digital China.

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