首页|New Findings from Xinjiang University Describe Advances in Robotics (The Impact of Industrial Robots on Green Total Factor Energy Efficiency: Empirical Evidence from Chinese Cities)
New Findings from Xinjiang University Describe Advances in Robotics (The Impact of Industrial Robots on Green Total Factor Energy Efficiency: Empirical Evidence from Chinese Cities)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on robotics have been pr esented. According to news reporting out of Urumqi, People's Republic of China, by NewsRx editors, research stated, "Improving energy utilization efficiency is a crucial means to achieve energy conservation, emission reduction, and green de velopment. At present, to establish a high-quality development framework and sat isfy the growing need for a better life among all its people, China must steadfa stly pursue the path of green development." Financial supporters for this research include Xinjiang University; The National Natural Science Foundation of China Project. The news journalists obtained a quote from the research from Xinjiang University : "Although China's substantial economic scale and achievements in ecological ci vilization construction provide favorable conditions for green transformation, t here remains a significant gap compared to developed countries in the applicatio n of green and clean technologies. Confronted with technological bottlenecks, le veraging emerging technologies such as industrial robots from the new round of s cientific and technological revolutions to improve the green total factor energy efficiency (GTFEE) is of critical importance to China's green development. This study explores the potential impact of industrial robots on enhancing China's G TFEE. It begins by reviewing the current research landscape in this field, highl ighting its shortcomings, and theorizing potential impact pathways of industrial robots. Subsequently, the paper analyzes data from 2010 to 2019 on the usage of industrial robots and GTFEE across 276 cities at the prefectural level or above in China. Through empirical regression models that incorporate control variable s and interaction terms, the study investigates the specific impacts of industri al robots on energy efficiency and their mechanisms of action. The results indic ate that industrial robots significantly enhance the GTFEE of Chinese cities, es pecially in the Northeastern region. Industrial robots notably improve the GTFEE in resource-based cities, old industrial bases, and low-carbon pilot cities."
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