| 数字经济发展与地区全要素生产率提升 ——基于中国省际面板数据的实证检验 |
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| 引用本文： | 安强身,,刘俊杰.数字经济发展与地区全要素生产率提升 ——基于中国省际面板数据的实证检验[J].长安大学学报(社会科学版),2022,0(2):32-44. |
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| 作者姓名： | 安强身 刘俊杰 |
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| 作者单位： | (1. 济南大学 商学院,山东 济南 250002; 2. 济南大学 山东省资本市场创新发展协同创新中心,山东 济南 250002) |
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| 摘 要： | 为探究数字经济发展对地区全要素生产率提升的作用与路径,选取中国2010—2019年省级面板数据,分别运用熵值法和DEA方法对数字经济指数及地区全要素生产率进行测算,并结合双向固定效应模型、SUR回归以及中介效应模型对数字经济与地区全要素生产率之间关系进行实证分析。研究认为,数字经济对技术推动型的地区全要素生产率提升作用显著,数字产业化、产业数字化分别通过增进技术进步和提升技术效率提升了地区全要素生产率,数字产业化可以通过产业数字化提升地区全要素生产率。研究表明,培育地区全要素生产率增长新动能,应加快构建服务数字化转型、融合创新的新型基础设施建设体系,促进数字经济和技术创新深度融合; 加强自主创新数字技术和全球范围内的技术共享,促进中国技术进步以及省际全要素生产率的提高; 加快传统产业数字化转型,构建数字化经营决策以及生产体系; 加强数字信息保护和数字环境治理,建立健全产业数字化的信息安全体系。
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| 关 键 词： | 数字经济 全要素生产率 数字产业化 产业数字化 数字技术 数字化转型 数据共享 |
Development of digital economy and improvement of regional total factor productivity——an empirical analysis based on China's provincial panel data |
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| AN Qiangshen,' target="_blank" rel="external">,LIU Junjie.Development of digital economy and improvement of regional total factor productivity——an empirical analysis based on China's provincial panel data[J].Journal of Chang'an University(Social Sciences Edition),2022,0(2):32-44. |
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| Authors: | AN Qiangshen " target="_blank">' target="_blank" rel="external"> LIU Junjie |
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| Affiliation: | (1. Business School, University of Jinan, Jinan 250002, Shandong, China; 2. Shandong Capital Market Innovation and Development Collaborative Innovation Center, University of Jinan,Jinan 250002, Shandong, China) |
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| Abstract: | In order to explore the role and influence path of digital economy development on regional total factor productivity improvement, this paper has selected the provincial panel data of China from 2010 to 2019, adopted the entropy method and DEA method to measure the digital economy index and regional total factor productivity, and conducted empirical analysis on the relationship between the digital economy and regional total factor productivity based on the two-way fixed effect model, SUR regression and mediation effect model. The research believes that the digital economy has a significant effect on the improvement of total factor productivity in technology-driven regions; digital industrialization and industrial digitalization have improved regional total factor productivity by enhancing technological progress and improving technical efficiency respectively; and digital industrialization can improve regional total factor productivity through industrial digitalization. To cultivate new drivers of regional total factor productivity growth, we should accelerate the construction of the new infrastructure system that serves digital transformation and integrates innovation, promote the in-depth integration of digital economy and technological innovation; strengthen independent innovative digital technology and global technology sharing, and promote China's technological progress and the improvement of inter provincial total factor productivity; accelerate the digital transformation of traditional industries and build a digital management decision-making and production system; strengthen the protection of digital information and the governance of digital environment, and establish and improve the information security system of industrial digitalization. |
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| Keywords: | digital economy total factor productivity digital industrialization industrial digitalization digital technology digital transformation data sharing |
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