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作 者:谢家平 赵俊杰 谢吉青 XIE Jiaping;ZHAO Junjie;XIE Jiqing(Business School,Shanghai University of Finance and Economics,Shanghai 200237,China;School of Economics and Management,Nanjing Tech University,Nanjing 211800,China)
机构地区:[1]上海财经大学商学院,上海200237 [2]南京工业大学经济与管理学院,江苏南京211800
出 处:《经济经纬》2025年第1期93-105,共13页Economic Survey
基 金:国家社会科学基金重大项目(20&ZD060);上海市软科学重点项目(24692101000);上海财经大学研究生创新基金项目(CXJJ-2024-422)。
摘 要:使用2013—2022年中国A股制造业上市公司数据,考察了数智化转型对企业新质生产力水平的影响效应以及异质性差异,检验了绿色技术创新和供应链多元化的作用机制路径。研究发现:(1)数智化转型对企业新质生产力具有显著的正向影响;(2)数智化转型通过促进绿色技术创新和增强供应链分工合作提升企业新质生产力水平;(3)异质性分析发现,非国有企业和成熟期企业、非高科技企业和劳动密集型企业、低市场化地区企业和西部地区企业的新质生产力水平受益于数智化转型的影响效应更大。研究结论为推动企业数智化转型,提升企业新质生产力水平,加快经济高质量发展提供了理论依据和实践参考。Based on data from Chinese A-share manufacturing companies from 2013 to 2022,this study examines the impact of digital intelligence transformation on the level of new quality productivity and the differences in heterogeneity,and tests the mechanism pathways of green technological innovation and supply chain diversification.There are following findings:(1)Digital intelligence transformation has a significant positive impact on the new quality of productivity in enterprises;(2)Digital intelligence transformation enhances the new quality of productivity levels in enterprises by promoting green technological innovation and strengthening supply chain collaboration and division of labor;(3)Heterogeneity analysis reveals that the new quality of productivity benefits more from digital intelligence transformation in non-state-owned and mature enterprises,non-high-tech and labor-intensive enterprises,enterprises in low marketization regions,and enterprises in the western regions.The conclusions provide theoretical foundations and practical references for promoting enterprise digital intelligence transformation,improving the new quality of productivity in enterprises,and accelerating high-quality economic development.
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