Weilong Wang
Papers
3
Total Citations
200
H-Index
3
About
Dr. Weilong Wang is a leading researcher at the intersection of industrial automation, environmental economics, and labor dynamics. Their work critically examines how the rise of industrial robots and artificial intelligence reshapes both carbon emissions and workforce structures, particularly in the context of China’s rapid technological transformation. Wang’s most cited study, “Can industrial robots reduce carbon emissions? Based on the perspective of energy rebound effect and labor factor flow in China” (2023, 155 citations), reveals a nuanced paradox: while robots can improve energy efficiency, they also trigger rebound effects and labor shifts that may offset environmental gains. This groundbreaking analysis has become a cornerstone for understanding the environmental costs of automation. Further contributions include exploring the interplay between population aging and “machine replacing human” (28 citations), as well as a provocative link between air pollution and the adoption of smarter factories (17 citations). Wang’s research is widely cited by policymakers and scholars seeking to balance industrial innovation with sustainable development, making them a pivotal voice in debates on green automation and labor market transitions.
Research Focus
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