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Industrial robots, national AI policies and green innovation: evidence from 41 UNIDO industry data

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成果类型:
期刊论文
作者:
Bing Gong;Siyao Yang*;Zhenchao Feng
通讯作者:
Siyao Yang
作者机构:
[Bing Gong] Univ Chinese Acad Social Sci, Sch Int Polit & Econ, Beijing, Peoples R China.
[Yang, Siyao; Siyao Yang] Tsinghua Univ, PBC Sch Finance, Beijing, Peoples R China.
[Zhenchao Feng] Hunan Agr Univ, Sch Econ, Changsha, Peoples R China.
通讯机构:
[Yang, SY ] T
Tsinghua Univ, PBC Sch Finance, Beijing, Peoples R China.
语种:
英文
关键词:
Industrial robots;green innovation;artificial intelligence (AI) policies;latecomer advantage;environment protection awareness
期刊:
Journal of Chinese Economic and Business Studies
ISSN:
1476-5284
年:
2024
基金类别:
Qingqi Program of Chinese Academy of Social Sciences [2025QQJH89]
机构署名:
本校为其他机构
院系归属:
经济学院
摘要:
We examine how industrial robots influence green innovation in 41 countries from 1995 to 2019. Results show that robots significantly boost green innovation by attracting FDI, enhancing productivity and R&D, and improving industrial competitiveness. National AI policies, especially enablers and incentives, amplify this effect, with stronger impacts in countries with lower R&D and competitiveness. The effect is also more pronounced in nations with lower income, weaker digital infrastructure, and higher environmental awareness. Using tariff changes as an instrument, we find evidence suggesting a...

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