| The main reflections of financial efficiency are the ability of enterprise profitability,operation,debt repayment,anti-risk etc.Financial efficiency analysis is not only an important component of the analysis of enterprise production and operation activities,but also a vital component of financial management activities.Industry is the one of the most important things in the national economy,and its efficiency directly affects the sustainable development of the national economy.By constructing an undesired output super-efficiency Data Envelopment Analysis Model,this paper quantitatively measures the financial efficiency of inter-provincial industrial enterprises in different years,applies the Spatial Correlation Model to investigate the spatial correlation of financial efficiency of enterprises in different regions,and dynamically analyzes the changes of financial efficiency of inter-provincial industrial enterprises by applying the Total Productivity Model.In addition,the Spatial Regression Model is used to analyze the extent of various influencing factors on the financial efficiency of industrial enterprises.The conclusions of this paper provide a theoretical basis for formulating strategies to improve the financial efficiency of inter-provincial enterprises.Firstly,this paper introduces the concept of enterprise financial efficiency and the basic theory of enterprise financial efficiency research,namely,Scale Economy Theory,Property Right Theory and Agglomeration Effect Theory.According to the number of indicators to evaluate enterprise financial efficiency and different application methods,the research methods of enterprise financial efficiency are classified.Based on the analysis of the current situation of enterprise financial efficiency evaluation,this paper discusses the shortcomings of enterprise financial efficiency evaluation from different perspectives.Secondly,to evaluate the financial efficiency of China’s inter-provincial industrial enterprises,an undesired output super-efficiency Data Envelopment Analysis Model is constructed.The model evaluates the financial efficiency of 30 provincial industrial enterprises from the aspects of input orientation and output orientation according to the input and output data of 30 provincial industrial enterprises from 2007 to 2019.The financial efficiency of industrial enterprises is classified into comprehensive financial efficiency,pure technical financial efficiency,and scale financial efficiency.According to the research needs,this paper creatively proposes the calculation formula of index improvement rate,measures the improvement rates of input and output indicators,and grasps the space for the decline or rise of various indicators across provinces..Thirdly,in order to evaluate the spatial correlation of financial efficiency of Chinese inter-provincial industrial enterprises,this paper demonstrates the weight determination method of spatial correlation analysis and constructs the global and local spatial correlation measurement models respectively.On this basis,this paper analyzes the global and local spatial correlation of the comprehensive financial efficiency of Chinese industrial enterprises from the aspects of input orientation and output orientation,and clarifies that the financial efficiency of Chinese industrial enterprises has a spatial correlation through the analysis.Fourthly,in order to carry out the dynamic evaluation of the financial efficiency of China’s inter-provincial industrial enterprises,the financial efficiency index model is constructed,and classified the index into efficiency change index and production technology change index.According to the constructed TFP Index Model,the financial efficiency is analyzed from a relative and absolute point of view.Gini Coefficient,Average Logarithmic Deviation,Theil Index,Range and Convergence Model is constructed to evaluate the fluctuation law of financial efficiency of different inter-provincial industrial enterprises.The dynamic fluctuation and convergence of financial efficiency are also analyzed.Fifthly,Tobit Model,Spatial Error Model,Spatial Autocorrelation Model,Spatial Autoregressive Model,and spatial Dobbin model are constructed to evaluate the impact of the main factors on the financial efficiency of Chinese inter-provincial industrial enterprises and to determine the main factors affecting the financial efficiency of Chinese industrial enterprises.By applying the previous mentioned models,this paper makes a regression analysis on the factors affecting the financial efficiency of enterprises.In order to discuss the influence of factors affecting the financial efficiency of enterprises,BP neural network model is creatively constructed to measure the influence of factors affecting the financial efficiency.The conclusions provide a theoretical basis for formulating countermeasures to improve the financial efficiency of inter-provincial enterprises.Lastly,according to the research conclusions on the static,spatial,dynamic and influencing factors of China’s inter-provincial industrial financial efficiency,from the perspectives of transforming and upgrading enterprises and giving play to the advantages of state-owned capital,paying attention to technological innovation and innovative industrial clusters,expanding the scale of enterprises through different channels,controlling pollutant emissions,and adopting various channels to improve the profit level,the countermeasures and suggestions for improving the financial efficiency of China’s inter-provincial industrial enterprises are put forward. |
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