Industrial robot;
intelligence techniques;
air pollution;
energy use efficiency;
green technology innovation;
ENVIRONMENTAL-REGULATION;
INDICATORS;
QUALITY;
D O I:
10.1177/00368504221144093
中图分类号:
G40 [教育学];
学科分类号:
040101 ;
120403 ;
摘要:
The battle against air pollution in China persists, and haze remains over cities. Whether industrial robots, as the core technology of intelligent manufacturing, can improve city air quality in the process of production has not been determined. Using the International Federation of Robotics data and Chinese city air pollution data (2013-2018), this study finds that industrial robots significantly reduce city air pollution levels (PM2.5, PM10, and SO2), which remains robust after addressing endogeneity. The mechanism of action lies in the synergistic benefits of industrial robots in reducing city air pollution levels by effectively improving energy use efficiency and promoting green technological innovation. Heterogeneity analysis suggests that industrial robots, as the incarnation of green technology, can be an effective alternative tool to green policies, such as low-carbon piloting, resource planning, and environmental regulation. This study empirically confirms that industrial robots are environment-friendly technologies that can provide new policy ideas to promote air pollution prevention and control in the industrialization process.
机构:
Univ Int Business & Econ, Sch Int Trade & Econ, Beijing 100029, Peoples R ChinaUniv Int Business & Econ, Sch Int Trade & Econ, Beijing 100029, Peoples R China
Li, Jiaman
Dong, Kangyin
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机构:
Univ Int Business & Econ, Sch Int Trade & Econ, Beijing 100029, Peoples R ChinaUniv Int Business & Econ, Sch Int Trade & Econ, Beijing 100029, Peoples R China
Dong, Kangyin
Dong, Xiucheng
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机构:
Univ Int Business & Econ, Sch Int Trade & Econ, Beijing 100029, Peoples R ChinaUniv Int Business & Econ, Sch Int Trade & Econ, Beijing 100029, Peoples R China
机构:
Peking Univ, Sch Environm & Energy, Shenzhen Grad Sch, Shenzhen 518055, Peoples R ChinaPeking Univ, Sch Environm & Energy, Shenzhen Grad Sch, Shenzhen 518055, Peoples R China
Xiong, Siqin
Ma, Xiaoming
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机构:
Peking Univ, Sch Environm & Energy, Shenzhen Grad Sch, Shenzhen 518055, Peoples R ChinaPeking Univ, Sch Environm & Energy, Shenzhen Grad Sch, Shenzhen 518055, Peoples R China
Ma, Xiaoming
Ji, Junping
论文数: 0引用数: 0
h-index: 0
机构:
Peking Univ, Sch Environm & Energy, Shenzhen Grad Sch, Shenzhen 518055, Peoples R China
Lawrence Berkeley Natl Lab, Energy Anal & Environm Impacts Div, Berkeley, CA 94720 USAPeking Univ, Sch Environm & Energy, Shenzhen Grad Sch, Shenzhen 518055, Peoples R China