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    Robot adoption and enterprise R&D manipulation: Evidence from China

    Access Status
    Fulltext not available
    Authors
    Zhou, Z.
    Li, Z.
    Du, S.
    Cao, June
    Date
    2024
    Type
    Journal Article
    
    Metadata
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    Citation
    Zhou, Z. and Li, Z. and Du, S. and Cao, J. 2024. Robot adoption and enterprise R&D manipulation: Evidence from China. Technological Forecasting and Social Change. 200: 123134.
    Source Title
    Technological Forecasting and Social Change
    DOI
    10.1016/j.techfore.2023.123134
    ISSN
    0040-1625
    Faculty
    Faculty of Business and Law
    School
    School of Accounting, Economics and Finance
    URI
    http://hdl.handle.net/20.500.11937/94062
    Collection
    • Curtin Research Publications
    Abstract

    Robot adoption has profoundly affected economies and societies as part of the continuous evolution of technology and associated industrial transformations. We use the country-industry-year industrial robots dataset published by the International Federation of Robotics, and refer to the “Bartik instrumental variable” method to construct the robot adoption index of listed companies in China's manufacturing industry. Through empirical tests, we find that robot adoption significantly inhibits enterprise research and development (R&D) manipulation, and the findings remain unchanged during a series of robustness tests. Based on information asymmetry and principal-agent theory, we propose that robot adoption inhibits enterprises' R&D manipulation through information, human, and governance effects. Furthermore, high media attention, low-intensity regional tax administration, the academic experience of CEOs, and high-quality internal controls are conducive to the adoption of robots to suppress R&D manipulation. Moreover, digital transformation and robot adoption play complementary roles in inhibiting R&D manipulation. Finally, we verify that robot adoption can improve enterprises' production efficiency and reduce enterprise fraud. Overall, we enrich the research on robot adoption and enterprise R&D manipulation and provide experience for preventing enterprise R&D manipulation and promoting industrial robots to better serve the high-quality development of the real economy.

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