数字化如何促进中国生产力的增长?

IF 15.6 1区 管理学 Q1 BUSINESS Journal of Innovation & Knowledge Pub Date : 2024-10-01 DOI:10.1016/j.jik.2024.100586
Kaixuan Bai , Zhiyang Shen , Shuyuan Zhou , Zihan Su , Rongrong Yang , Malin Song
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引用次数: 0

摘要

在工业 4.0 的背景下,计算机技术的进步和数字革命深刻影响了全球经济增长。随着数字化扮演着越来越重要的角色,本研究创新性地将数字资本作为一种基本投入,与劳动力和传统资本一起纳入非参数生产技术,以评估卢恩伯格-希克斯-莫尔斯坦全要素生产率(TFP)指标。这一方法为数字化时代中国的生产率增长提供了一个新的视角。此外,还提出了一种新的基于投入的生产率指标分解方法,以确定中国经济快速扩张背后的驱动力。此外,还进一步分析了影响生产率变化的因素及其分解成分。利用中国 30 个省份 2012 年至 2021 年的面板数据,研究结果表明,样本期内中国总体生产率增长了 2.73%,其中劳动力贡献率为 64.97%,数字资本贡献率为 35.01%。相反,非数字资本对全要素生产率增长的贡献率为-0.02%。这表明,中国经济增长的动力主要来自劳动力,其次是数字资本,而传统资本的影响力正在减弱。此外,回归结果凸显了数字经济发展对全要素生产率增长的重要贡献。
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How does digitalization promote productivity growth in China?
In the context of Industry 4.0, advancements in computer technology and the digital revolution have profoundly impacted global economic growth. As digitalization assumes an increasingly critical role, this study innovatively integrates digital capital as a fundamental input, alongside labor and traditional capital, into non-parametric production technologies to evaluate the Luenberger-Hicks-Moorsteen total factor productivity(TFP) indicator. This approach provides a novel perspective on productivity growth in China during the digitalization era. Furthermore, a new input-based decomposition of the productivity indicator is proposed to identify the driving forces behind China's rapid economic expansion. The factors influencing productivity change and its decomposition components are further analyzed. Utilizing panel data from 30 provinces in China covering the period from 2012 to 2021, the findings reveal that overall productivity growth in China increased by 2.73 % during the sample period, with contributions of 64.97 % from labor and 35.01 % from digital capital. Conversely, the contribution rate of non-digital capital to TFP growth was -0.02 %. This suggests that China's economic growth is primarily driven by labor, followed by digital capital, while the influence of traditional capital is diminishing. Furthermore, the regression results underscore the significant contribution of digital economy development to TFP growth.
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来源期刊
CiteScore
16.10
自引率
12.70%
发文量
118
审稿时长
37 days
期刊介绍: The Journal of Innovation and Knowledge (JIK) explores how innovation drives knowledge creation and vice versa, emphasizing that not all innovation leads to knowledge, but enduring innovation across diverse fields fosters theory and knowledge. JIK invites papers on innovations enhancing or generating knowledge, covering innovation processes, structures, outcomes, and behaviors at various levels. Articles in JIK examine knowledge-related changes promoting innovation for societal best practices. JIK serves as a platform for high-quality studies undergoing double-blind peer review, ensuring global dissemination to scholars, practitioners, and policymakers who recognize innovation and knowledge as economic drivers. It publishes theoretical articles, empirical studies, case studies, reviews, and other content, addressing current trends and emerging topics in innovation and knowledge. The journal welcomes suggestions for special issues and encourages articles to showcase contextual differences and lessons for a broad audience. In essence, JIK is an interdisciplinary journal dedicated to advancing theoretical and practical innovations and knowledge across multiple fields, including Economics, Business and Management, Engineering, Science, and Education.
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