TY - JOUR
T1 - Testing for quadratic impact of industrial robots on environmental performance and reaction to green technology and environmental cost
AU - Yang, Xinhui
AU - Luan, Fushu
AU - Zhang, Jie
AU - Zhang, Zhonghui
N1 - Funding Information:
This work was supported by the Natural Science Foundation of the Jiangsu Higher Education Institutions of China [Grant numbers 23KJB630008; 23KJB110014] and the National Social Science Fund of China [Grant number 20BJL144].
Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2023/7/26
Y1 - 2023/7/26
N2 - Industrial robots play a crucial role in enhancing productivity but their impact on the environment has produced debates. Some researchers have focused on the relation between industrial robots and energy efficiency (or environmental performance), such as Huang et al. (Energy Econ 107:105837, 2022) and Luan et al. (Sustain Prod Consum 30:870–888, 2022). However, their arguments mainly depend on the assumption of linear relationship between the two. This study infers that there is a nonlinear relationship between them from the theories of energy-saving effect, rebound effect, and scale effect. Our research, using data from 74 countries and regions worldwide between 1997 and 2020, reveals an inverted U-shaped relationship between the use of robots and their environmental impact. This means that the environment benefits from robot use up to a certain point, beyond which it starts to incur damage. Two moderating factors, green technology and environmental cost, are analyzed and tested. Our findings suggest that the high-green-tech left shifts and steepens the inverted U-shaped relationship whereas the high cost right shifts and flattens the relationship. This study explains the influencing mechanism of industrial robots on environmental performance by integrating the energy-saving effect, the rebound effect, and the scale effect. Our findings enrich the understanding of the robot–environment nexus and emphasize the importance of government in balancing robot use and environmental protection.
AB - Industrial robots play a crucial role in enhancing productivity but their impact on the environment has produced debates. Some researchers have focused on the relation between industrial robots and energy efficiency (or environmental performance), such as Huang et al. (Energy Econ 107:105837, 2022) and Luan et al. (Sustain Prod Consum 30:870–888, 2022). However, their arguments mainly depend on the assumption of linear relationship between the two. This study infers that there is a nonlinear relationship between them from the theories of energy-saving effect, rebound effect, and scale effect. Our research, using data from 74 countries and regions worldwide between 1997 and 2020, reveals an inverted U-shaped relationship between the use of robots and their environmental impact. This means that the environment benefits from robot use up to a certain point, beyond which it starts to incur damage. Two moderating factors, green technology and environmental cost, are analyzed and tested. Our findings suggest that the high-green-tech left shifts and steepens the inverted U-shaped relationship whereas the high cost right shifts and flattens the relationship. This study explains the influencing mechanism of industrial robots on environmental performance by integrating the energy-saving effect, the rebound effect, and the scale effect. Our findings enrich the understanding of the robot–environment nexus and emphasize the importance of government in balancing robot use and environmental protection.
KW - Environmental cost
KW - Environmental performance
KW - Green technology
KW - Industrial robots
KW - Industry 4.0
KW - Nonlinear effect
UR - http://www.scopus.com/inward/record.url?scp=85165933907&partnerID=8YFLogxK
U2 - 10.1007/s11356-023-28864-4
DO - 10.1007/s11356-023-28864-4
M3 - Article
C2 - 37493911
AN - SCOPUS:85165933907
SN - 0944-1344
VL - 30
SP - 92782
EP - 92800
JO - Environmental Science and Pollution Research
JF - Environmental Science and Pollution Research
IS - 40
ER -