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Intelligent Manufacturing Level Measurement And Influencing Factors Analysis Of China’s Equipment Manufacturing Industry

Posted on:2024-05-18Degree:MasterType:Thesis
Country:ChinaCandidate:F WangFull Text:PDF
GTID:2569307061477164Subject:Master of Statistics in Applied Statistics
Abstract/Summary:
Nowadays,economic growth focuses more on improving quality,reducing pollution and increasing efficiency.Equipment manufacturing industry is the core of the manufacturing industry.Intelligent manufacturing provides a new direction for the transformation and upgrading of equipment manufacturing industry and the improvement of competitiveness.There are various categories of equipment manufacturing industry,the development rules and integration ways of each sub-industry are different.How to accurately grasp,step by step,sub-industry to promote the transformation and upgrading of the equipment manufacturing industry is the new development stage of the equipment manufacturing industry intelligent manufacturing needs to focus on the key.Based on this,this paper takes the equipment manufacturing industry as the research object.Firstly,reviews the existing literature and analyzes the research status,expounds the development connotation,related theories and development status of intelligent manufacturing in the equipment manufacturing industry.Secondly,the theoretical logic of index selection is analyzed,and the evaluation index system of intelligent manufacturing development in the equipment manufacturing industry is constructed from three dimensions: basic conditions,industrial benefits and construction level.To select the relevant data of China’s equipment manufacturing industry from 2015 to 2020,the vertical and horizontal scatter degree method and entropy weight method are comprehensively used to explore the comprehensive development level of intelligent manufacturing in eight sub-industries of equipment manufacturing industry and the development situation of each sub-industry in different dimensions.Finally,the comprehensive development level of intelligent manufacturing in the equipment manufacturing industry is taken as the explained variable and talent construction,technological innovation,labor supply,government support and foreign investment are taken as the explanatory variable.The panel data constructed by eight sub-industries of the equipment manufacturing industry from 2015 to 2020 are selected for empirical analysis to explore the role of five influencing factors on the development of intelligent manufacturing.The industry is classified according to its size and then the industry heterogeneity is analyzed.The conclusion shows that the comprehensive development level of intelligent manufacturing in the eight sub-industries of equipment manufacturing industry from 2015 to 2020 is different,and the change trend is not the same.There are uncoordinated development in the three dimensions of basic conditions,industry benefits and construction level of intelligent manufacturing.Talent construction,technological innovation and labor supply have a significant positive effect on the development of intelligent manufacturing in equipment manufacturing industry,government support has a significant negative effect on the development of intelligent manufacturing in the equipment manufacturing industry,foreign investment has no significant impact on the development of intelligent manufacturing,the three industries with different sizes of intelligent manufacturing development factors are different.Therefore,targeted countermeasures and suggestions are put forward for the subsequent development of intelligent manufacturing in equipment manufacturing industry.
Keywords/Search Tags:Intelligent manufacturing, Equipment manufacturing, Combination empowerment method, Dynamic comprehensive evaluation method
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