组态视角下数字经济驱动新质生产力发展  

The Development of New Quality Productivity Driven by Digital Economy from the Configuration Perspective

作　　者：刘军 陈钧威 曹泽 LIU Jun;CHEN Jun-wei;CAO Ze(School of Management Science and Engineering,Nanjing University of Information Science&Technology,Nanjing,Jiangsu 210044;School of Digital Economics and Management,Wuxi University,Wuxi,Jiangsu 214105;School of Economics and Management,Anhui Jianzhu University,Hefei,Anhui 230022)

机构地区：[1]南京信息工程大学管理工程学院,江苏南京210044 [2]无锡学院数字经济与管理学院,江苏无锡214105 [3]安徽建筑大学经济与管理学院,安徽合肥230022

出　　处：《江南大学学报(人文社会科学版)》2025年第1期40-55,共16页Journal of Jiangnan University:Humanities & Social Sciences Edition

基　　金：国家社科基金重大项目“数字经济推动产业链供应链现代化水平提升的机制与对策研究”(22&ZD095);江苏省社会科学基金项目“数据要素赋能江苏制造业全要素生产率提升的机理与对策研究”(24EYB016);安徽省教育厅重点项目“专精特新企业梯度培育及制造业高质量发展研究”(2022AH050214)。

摘　　要：构建NCA、TSQCA和多时段动态QCA模型,解析组态视角下数字经济对新质生产力发展的影响。研究发现,单个数字经济要素并非产生高新质生产力发展水平的必要条件,即组态视角下的新质生产力发展受多个数字经济要素的协同影响,呈现非对称性、非线性特征;存在三条产生高新质生产力发展水平的组态路径,根据核心前因变量的分布特征,可归纳为“信息化—互联网—数字交易”三轮驱动模式和“信息化—数字交易”双元轮动模式;在总的时期内,信息化影响、数字交易影响是核心前因变量。多时段动态QCA分析进一步揭示核心前因变量存在多重轨迹共演化现象,信息化影响的变化轨迹是主导轨迹,数字交易影响的变化轨迹为“缓冲主导轨迹”,互联网基础的变化轨迹为“转折轨迹”。区别于定量研究和基于截面数据的组态研究,文章从复杂动态视角出发,既拓展了新质生产力发展的研究视野、研究方法,也为如何发挥数字经济对新质生产力发展的驱动效应提供新思考。This paper constructs NCA,TSQCA,and multi-period dynamic QCA models to analyze the impact of digital economy configuration on the development of new quality productivity.The study finds that individual digital economy elements are not necessarily the requirements for high level of new quality productivity development,which means that the development of new quality productivity is influenced by the synergy of multiple digital economy elements,and presents asymmetric and nonlinear characteristics from the perspective of configuration;there are three pathways for achieving high levels of new quality productivity development,which,based on the distribution characteristics of core antecedent variables,can be summarized as the three-wheel driving model of"informationization-Internet-digital transaction"and the dual-engine driving model of"informationization-digital transaction";in the overall period,informationization influence and digital transaction influence are the core antecedent variables.The multi-period dynamic QCA analysis further reveals that the core antecedent variables have multiple trajectories of co-evolution,with the change trajectory of informationization influence being the dominant trajectory,the change trajectory of digital transaction influence being the"buffered dominant trajectory",and the change trajectory of Internet infrastructure being the"turning point trajectory".Unlike quantitative research and configuration research based on cross-sectional data,starting from a complex dynamic perspective,this study not only expands the research vision and research methods of new quality productivity development,but also provides new insights into how to drive the development of new quality productivity through digital economy.

关 键 词：组态视角 数字经济 新质生产力 动态QCA 

分 类 号：F49[经济管理—产业经济] F124.3