Analysis Of Information Transmission,Software And Information Technology Service Industry

Based on the idea of regression analysis,this paper applies multivariate regression models in the context of information transmission,software and information technology services to explore the relationship between enterprise performance and influencing factors.Secondly,by using the idea of parameter constraint test,test statistics of regression effect comparison are constructed,and multi-dimensional comparison is made on the direct effect of influencing factors.Finally,by means of quantile regression,the differences of the effects are analyzed from the perspective of quantile,and the analysis results of quantile regression were combined with the analysis results of multivariate regression,so as to comprehensively discuss the influence differences of various influencing factors on enterprise performanceInformation transmission,software and information technology services are the research background of this paper,and enterprise performance is the research foothold.This paper mainly explores the current situation and influencing factors of enterprise development in this industry,and puts forward corresponding optimization suggestions based on the analysis results.When variables are selected,the dependent variables are all indicators of enterprise performance.According to the definition,three dimensions of development ability,business ability and profitability are set to measure enterprise performance.Two indicators are set for each dimension.The independent variable is the influencing factor of enterprise performance.Based on the understanding of enterprise performance,the index of influencing factor of enterprise performance is divided into four categories,namely,labor cost,R&D expenditure,operation efficiency and asset structure.In addition to the asset structure has a measurement index,the other several types of factors have two measurement indexes.In this paper,the data from 119 listed companies in the industry,the time span of the data for 2012 to 2018,the first multivariate regression model is established,and the comparison of the regression effect,the results showed that the human cost and four indexes of R&D spending and capital value increment rate,shareholders' equity turnover ratio,total assets net profit margin,operating profit margin all present the positive correlation,the human cost combined with research and development spending regression effect of combination of capital preservation increment rate there was no significant difference,but for the rest of the three corporate performance indicators,R&D spending combined effect is greater than the influence of the combination of the human cost;To the combination of research and development spending further study found that R&D spending combination of the two indicators and in addition to the operating profit growth of enterprise performance indexes were positively correlated relationship,its total assets net profit margin of profit ability dimension the most obvious and positive effect on business ability dimensions of shareholders' equity turnover affects the effect of the weak;The conversion rate of intangible assets and the proportion of R&D expenditure in the R&D expenditure portfolio are negatively correlated and positively correlated with the growth rate of operating profit in the development capability dimension,respectively.Through the comparison test of regression effect,it is found that there is no significant difference in the regression effect of the conversion rate of intangible assets and the ratio of R&D expenditure in the growth rate of operating profit.There is a significant positive correlation between the turnover of total assets and all indicators of enterprise performance,which has the most significant positive effect on the turnover of shareholders' equity in the business capacity dimension,and the least positive effect on the value-add and value-preserved capital in the development capacity dimension.There is no significant difference in the regression effect on the degree of capital intensity and the net profit rate of total assets.There is a significant negative correlation between the asset structure index and the enterprise performance index of each dimension,which has the largest negative impact on the capital intensity of the business capability dimension and the smallest negative impact on the growth rate of operating profit.Secondly,quantile regression analysis is carried out.Compared with least square method,quantile regression can not only display data features in a more detailed way,but also mine more information between explanatory variables and explained variables.The results show that:in quantile regression,the coefficient estimation of 0.5 point is the closest to the coefficient estimation of least square method.When the differences in the regression effects of a single explanatory variable or a combination of explanatory variables are analyzed,individual fractional counts produce the opposite results to those obtained in the context of multivariate regressions.Finally,at the 0.9 minute locus,the difference in the effect of each influencing factor was the most obvious.Combined with the results of empirical analysis,the following optimization suggestions are given:first,enterprises in the industry should increase the expenditure on R&D activities and employee care,so as to improve the ability of independent innovation and employee enthusiasm;Secondly,it pays attention to the input and output of the enterprise,especially the timeliness of the enterprise's R&D activities,so as to maintain the healthy operation of the enterprise;Finally,appropriate investment strategies should be formulated according to the enterprise's development strategy and scale,and attention should be paid to the liquidity of funds to ensure the rationality of the asset structure and promote the benign development of the enterprise.