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中国管理科学 ›› 2025, Vol. 33 ›› Issue (1): 124-139.doi: 10.16381/j.cnki.issn1003-207x.2024.1088cstr: 32146.14.j.cnki.issn1003-207x.2024.1088

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数字经济测度:地区、行业与企业层面的视角

方颖1,2, 余兴锦1()   

  1. 1.厦门大学王亚南经济研究院,福建 厦门 361005
    2.厦门大学大数据金融交叉实验室,福建 厦门 361005
  • 收稿日期:2024-07-01 修回日期:2024-10-22 出版日期:2025-01-25 发布日期:2025-02-14
  • 通讯作者: 余兴锦 E-mail:yuxingjin@stu.xmu.edu.cn
  • 基金资助:
    国家社会科学基金重大项目(22ZDA051)

Measuring Digital Economy Development: From the Regional, Industry and Enterprise Perspectives

Ying Fang1,2, Xingjin Yu1()   

  1. 1.The Wang Yanan Institute for Studies in Economics,Xiamen University,Xiamen 361005,China
    2.Laboratory of Digital Finance,Xiamen University,Xiamen 361005,China
  • Received:2024-07-01 Revised:2024-10-22 Online:2025-01-25 Published:2025-02-14
  • Contact: Xingjin Yu E-mail:yuxingjin@stu.xmu.edu.cn

摘要:

本文从地区、行业和企业层面对数字经济测度的研究现状进行全面综述,并在此基础上提出一种基于多区域投入产出表构建地区产业数字化投入指数的方法,进一步通过构建区域间数字经济要素关联矩阵分析地区数字经济要素汇聚和溢出效应。研究发现,各地区的产业数字化投入在样本期内普遍增长,但东部发达地区与内陆和欠发达地区之间存在较大差异,后者产业数字化投入水平较低但增长迅猛,显示出较大的数字化转型潜力,有望缩小与东部地区的差距;数字化投入指数呈第三产业>第二产业>第一产业的普遍现象,信息依赖度高的行业表现突出,而传统制造业、资源型行业及部分服务业数字化投入水平则相对较低;东部沿海地区尤其是广东和江苏在数字经济网络中扮演核心角色,显示出强大的经济溢出和汇聚能力,而中西部地区则表现为较强的汇聚能力。本文研究为新质生产力的测度提供理论借鉴和方法支持,同时,有助于政策制定者更准确地把握数字经济的发展态势,并据此制定相应的政策以缩减区域间数字鸿沟。

关键词: 数字经济测度, 地区产业数字化投入指数, 数字鸿沟

Abstract:

A review of the measurement of digital economy development is presented from region,industry,and enterprise perspectives, offering insights for the development of a comprehensive new quality productivity (NQP) assessment system. Regional level measurement relies on traditional national economic accounting frameworks,digital economy satellite accounts,and comprehensive indices. Given the multifaceted nature of the subject matter,future research should concentrate on the development of satellite accounts for NQP, employing a combination of value-added and growth accounting techniques. Industry level studies typically calculate national industrial digital inputs but cannot reflect regional variations. The inclusion of inter-regional data is essential for accurately measuring industrial digital inputs. Enterprise-level measurement,which employs traditional methods such as IT expenditure or intangible asset investment ratios, is inadequate for capturing the intricacies of enterprise digital transformation. Newer methods,such as text mining from annual reports,offer promise but require further validation. The identified gaps are addressed by analyzing multi-regional input-output tables and constructing a regional digital economy factor “input-output ” matrix,combining industry dependence on the digital economy and regional digital economy scales. The findings suggest that industrial digitalization inputs across diverse regions exhibited an overall increase during the observation period. However,notable discrepancies are observed between the developed eastern regions and the less developed inland regions. Notwithstanding their comparatively lower levels of digital input,these regions exhibited rapid growth,thereby demonstrating substantial potential for digital transformation and the likelihood of narrowing the gap with eastern regions. The digitalization input index typically reflects a trend whereby the tertiary industry exhibits the highest level of digitalization input,follow ed by the secondary industry,and then the primary industry. Those industries that are highly dependent on information perform notably well,whereas traditional manufacturing,resource-based industries,and some service sectors show relatively lower levels of digitalization input. The eastern coastal regions,particularly Guangdong and Jiangsu,occupy a pivotal position within the digital economy network,demonstrating robust economic spillover and convergence capabilities. In contrast,the central and western regions exhibit pronounced convergence abilities. The theoretical references and methodological support are provided for measuring NQP,aiding policymakers in more precisely understanding the development trends of the digital economy and crafting targeted policies to reduce the regional digital divide.

Key words: measurement of digital economy development, regional-industrial digitalization input index, digital divide

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