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Research On Financial Performance Evaluation Of Intelligent Manufacturing Listed Companies

Posted on:2021-01-16Degree:MasterType:Thesis
Country:ChinaCandidate:J YangFull Text:PDF
GTID:2439330614461076Subject:Accounting
Abstract/Summary:PDF Full Text Request
With the coming of the “industry 4.0” era,China has implemented a series of manufacturing power strategies.In 2015,the “made in China 2025”plan was formally put forward,and the transformation from traditional manufacturing to intelligent manufacturing was officially promoted through the “three-step” process.However,China's artificial intelligence started late,and the overall level of intelligent manufacturing is not high.Therefore,accelerating the pace of“traditional manufacturing” to “intelligent manufacturing”and improving the financial performance of enterprises are the strong support to promote the rapid development of China's economy.Taking 18 typical intelligent manufacturing listed companies as the research object,based on the principles of scientificity,operability,importance and relative independence,with reference to relevant research literature and combined with the actual development of intelligent manufacturing listed companies,the corresponding evaluation indicators are selected from the perspective of input and output to build the financial performance evaluation index system,and DEA evaluation method is used to evaluate the financial performance of 18 intelligent manufacturing listed companies Performance evaluation.The evaluation results show that the overall financial performance of China's intelligent manufacturing listed companies is low.Among them,there are only four companies with good financial performance,namely,Guangxun technology,Yingqu technology,Yiwei lithium energy,Junsheng electronics,and other companies have average or below financial performance.Through Tobit regression model,this paper further explores the main reasons for the differences in financial performance of different evaluation levels of Intelligent Manufacturing Listed Companies: patent investment,operating income cost ratio,asset liability ratio and the number of patents approved.According to the main factors that cause the differences,it proposes to promote supply and demand docking,reduce product costs,increase product yield,increase patent investment and improve the level of intelligence In order to improve the financial performance of intelligent manufacturing listed companies,we need to expand the company's popularity,expand financing channels,expand special fund reserves,reasonably control assets and liabilities,improve the company's scale,promote the optimal allocation of resources,and improve the input-output ratio.
Keywords/Search Tags:Intelligent Manufacturing, Financial Performance, Performance Evaluation, Cross Efficiency DEA, Influencing Factors
PDF Full Text Request
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