TY - JOUR
T1 - Robot application and occupational injuries
T2 - Are robots necessarily safer?
AU - Yang, Siying
AU - Zhong, Yifan
AU - Feng, Dawei
AU - Li, Rita Yi Man
AU - Shao, Xue Feng
AU - Liu, Wei
N1 - Funding Information:
This study is supported by the special research project on clean government construction of Jilin University (Grant No. 2021LZY010) and social science research project of Jilin Provincial Department of Education (Grant No. JJKH20211237SK).
Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2022/3
Y1 - 2022/3
N2 - Recent research argues that robots could replace workers in dangerous work environments to reduce occupational injuries. However, robot development and usage in most developing countries remain at an infant stage, robots may increase the likelihood of occupational injuries due to conditions such as limited human capital and defects. By using a city-level dataset based on the Guangdong Province in China, we find that robot application is associated with an increase in the rate of occupational injuries in the first two years, and then exhibits nonsignificant and even negative effects afterwards. We also find that local governments can reduce or even eliminate the effect of robot application on occupational injuries by strengthening safety regulations. In addition, although local governments are keen on pushing robot application and industrial intelligence, the wide application of robots may impose a burden on the public health expenditure of local governments due to occupational injuries. This study extends our knowledge by challenging the traditional view that robot application can reduce the rate of occupational injuries, and also provides suggestions on the safety regulations of developing countries at the early stage of industrial intelligence.
AB - Recent research argues that robots could replace workers in dangerous work environments to reduce occupational injuries. However, robot development and usage in most developing countries remain at an infant stage, robots may increase the likelihood of occupational injuries due to conditions such as limited human capital and defects. By using a city-level dataset based on the Guangdong Province in China, we find that robot application is associated with an increase in the rate of occupational injuries in the first two years, and then exhibits nonsignificant and even negative effects afterwards. We also find that local governments can reduce or even eliminate the effect of robot application on occupational injuries by strengthening safety regulations. In addition, although local governments are keen on pushing robot application and industrial intelligence, the wide application of robots may impose a burden on the public health expenditure of local governments due to occupational injuries. This study extends our knowledge by challenging the traditional view that robot application can reduce the rate of occupational injuries, and also provides suggestions on the safety regulations of developing countries at the early stage of industrial intelligence.
KW - Industrial intelligence
KW - Occupational injuries
KW - Public health expenditure
KW - Robot
KW - Safety regulation
UR - http://www.scopus.com/inward/record.url?scp=85120745611&partnerID=8YFLogxK
U2 - 10.1016/j.ssci.2021.105623
DO - 10.1016/j.ssci.2021.105623
M3 - Article
AN - SCOPUS:85120745611
SN - 0925-7535
VL - 147
JO - Safety Science
JF - Safety Science
M1 - 105623
ER -