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Digitalization and productivity in the Chinese wind power industry: the serial mediating role of reconfiguration capability and technological innovation

控制重构 生产力 产业组织 业务 计算机科学 嵌入式系统 经济 宏观经济学
作者
Zihao Jiang,Jiarong Shi,Zhiying Liu
出处
期刊:Business Process Management Journal [Emerald Publishing Limited]
卷期号:31 (1): 26-53 被引量:11
标识
DOI:10.1108/bpmj-12-2023-0943
摘要

Purpose Wind power is the most promising renewable energy source in China. The development of digital technologies has brought about unprecedented growth opportunities and prospects for wind power. However, the relationship between digital technology adoption and total factor productivity (TFP) in the wind power industry in China has not been empirically assessed. This study aims to clarify whether and how digital technology adoption affects the TFP of the wind power industry in China. Design/methodology/approach Based on the data of listed companies in the Chinese wind power industry from 2006 to 2021, this study proposes and verifies relevant hypotheses with two-way fixed effects regression models. Findings The empirical results indicate that digital technology adoption is the cornerstone of the TFP of China’s wind power industry. Reconfiguration capability and technological innovation serially mediate the above relationship. In addition, the incentive effect of digital technology adoption varies among wind power firms. The impact of digital technology adoption is more significant in firms that are old and located in economically undeveloped regions. Originality/value This study is one of the earliest attempts to investigate the relationship between digital technology adoption and TFP in the renewable energy sectors of emerging economies. By integrating dynamic capability theory and the analytical framework of “Capability-Behavior-Performance” into the digital context, this study offers the theoretical insights into how digital technology adoption can enhance organizational reconfiguration capability, thereby stimulating technological innovation and subsequent TFP. Additionally, the impacts of different digital technologies are estimated in entirety, rather than in isolation.
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