Qiang Mai

Harbin Institute of Technology, Dongguan University of Technology

Papers

Total Citations

101

H-Index

About

Qiang Mai is a multidisciplinary researcher whose work spans the intersection of robotics, labor economics, and environmental productivity. His research has made notable contributions to understanding how robot adoption shapes both industrial efficiency and workforce dynamics in an era of rapid automation. Mai's most influential work, "Robot Adoption and Green Productivity: Curse or Boon" (2022), has garnered 65 citations, establishing him as a significant voice in the debate over whether automation advances or hinders sustainable economic development. Complementing this, his 2023 study on robot adoption and labor demand offers a fresh perspective on external competition's role in shaping employment outcomes — a timely contribution given widespread global concern over automation-driven unemployment, already accumulating 27 citations. His applied engineering work is equally noteworthy; his 2021 paper on machine vision-based garbage sorting robots bridges theoretical research with real-world environmental applications, reflecting a commitment to practical technological innovation. Across his portfolio, Mai demonstrates a rare ability to connect macroeconomic policy questions with hands-on robotics engineering. His growing citation record signals rising influence among economists, engineers, and policymakers grappling with the societal implications of intelligent automation.