双化协同视角下新质生产力的前因组态——基于2014—2021年间30个省份的动态QCA分析  

Antecedent Configurations of New Quality Productivity from the Perspective of Dual Transformation Synergy A Dynamic QCA Analysis Based on Panel Data from 30 Provinces in China(2014-2021)

作　　者：马永刚 王姣姣 MA Yong-gang;WANG Jiao-Jiao(Lanzhou University of Finance and Economics,Lanzhou,Gansu,730020,China)

机构地区：[1]兰州财经大学,甘肃兰州730020

出　　处：《武汉商学院学报》2024年第6期43-53,共11页Journal of Wuhan Business University

基　　金：甘肃省青年博士基金项目《积极职涯高原理论构建与实证研究》(项目编号:2023QB-067)。

摘　　要：本研究从双化协同视角出发,基于TOE理论框架,采用动态QCA研究方法,以2014—2021年间我国30个省份的面板数据为样本,深度剖析区域间新质生产力的差异化影响路径。研究结果发现:(1)人工智能技术、数字经济水平、数字人才资源、低碳竞争力、绿色技术创新、产业结构生态化对新质生产力发展存在显著的区域差异。数字人才资源、产业结构生态化对新质生产力的差异主要表现为“东-中部”、“东-西部”和“中-西部”差异,人工智能技术、数字经济水平、低碳竞争力、绿色技术创新对新质生产力的差异主要表现为“东-西部”“中-西部”差异。(2)产生高新质生产力存在四条等效路径,分别是M1可持续性数字驱动型,M2a人才型生态驱动,M2b可持续型生态驱动,M3失衡型生态驱动。(3)组态M1、M2a、M2、M3没有明显的时间效应和地区效应。综上,在理论上,本研究进一步探明了双化协同背景下区域间新质生产力的影响因素及演化路径;在实践层面上,研究结论为提升中国区域间新质生产力提供了行动指引。From the perspective of dual transformation synergy,this study uses the TOE theoretical framework and employs dynamic QCA research methods.It analyzes panel data from 30 provinces in China between 2014 and 2021 to explore the differentiated impact paths of new quality productivity across regions.The findings reveal that:(1)There are significant regional differences in the development of new quality productivity influenced by artificial intelligence technology,digital economy levels,digital talent resources,low-carbon competitiveness,green technology innovation,and the ecological transformation of industrial structure.The differences in new quality productivity due to digital talent resources and ecological industrial structure are mainly observed between the east and central regions,east and west regions,as well as central and west regions,while differences in the impacts of artificial intelligence technology,digital economy levels,low-carbon competitiveness,and green technology innovation on new quality productivity are primarily seen in east and west regions,as well as central and west regions.(2)There are four equivalent paths leading to high new quality productivity:M1 Sustainable Digital-Driven,M2a Talent-Driven Ecological,M2b Sustainable Ecological,and M3 Imbalanced Ecological.(3)Configurations M1,M2a,M2,and M3 show no significant temporal or regional effects.In summary,this study theoretically clarifies the influencing factors and evolutionary paths of new quality productivity among regions in the context of dual transformation synergy,while providing practical guidance for enhancing new quality productivity across regions in China.

关 键 词：双化协同 动态QCA 新质生产力 

分 类 号：F124[经济管理—世界经济]