首页|Research Data from Guangdong Ocean University Update Understanding of Robotics ( Industrial Robot Applications' Effects On Consumption of Energy and Its Spatial Effects)
Research Data from Guangdong Ocean University Update Understanding of Robotics ( Industrial Robot Applications' Effects On Consumption of Energy and Its Spatial Effects)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ro botics. According to news reporting originating from Zhanjiang, People's Republi c of China, by NewsRx correspondents, research stated, "Industrial robot applica tions' influence on energy consumption is a significant area of concern in both theoretical and practical sectors. This study used panel data from 2006 to 2019, covering multiple Chinese provinces." Financial support for this research came from Youth Fund Project. Our news editors obtained a quote from the research from Guangdong Ocean Univers ity, "It applied panel regression and various statistical methods to investigate the potential impact of industrial robot deployment on energy consumption. Addi tionally, the research incorporated spatial variables, including adjacency matri ces, inverse geographical distance matrices, inverse economic distance matrices, and inverse industrial scale matrices. These spatial components were used in sp atial Durbin models, spatial Durbin models with quadratic terms, and spatial Dur bin models with lag terms. The analyses aimed to examine the spatial spillover e ffects of industrial robots on energy consumption, explore nonlinear characteris tics in these effects, and distinguish between short-term and long-term impacts. The research findings are as follows. Firstly, energy consumption can be greatl y reduced by industrial robot applications, and there are heterogeneous effects based on geographical location and income levels. Secondly, industrial robot app lications have spatial spillover effects that reduce energy consumption in the n eighborhood, as well as the energy consumption of other regions that border each other, are physically close together, have less economic inequality, and have s imilar industrial scales. Thirdly, the geographic spillage impacts of industrial robots demonstrate nonlinear characteristics, displaying a distribution pattern that resembles an inverted U shape when analyzed through the anti-economic dist ance matrix. Lastly, industrial robot spatial impact spillovers primarily have s hort-term effects with negligible long-term implications."
ZhanjiangPeople's Republic of ChinaA siaEmerging TechnologiesMachine LearningNano-robotRobotRoboticsGuang dong Ocean University
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