Research On The Energy Efficiency Of Industrial Sectors And Influencing Factors In Tianjin

With the continuous progress of industrialization and modernization in China,the problems of high investment,high consumption and environmental pollution caused by economic growth have brought great pressure to the sustainable development of China's economy and society.Therefore,green development has become the main tone of our country's sustained economic growth and social development in recent years.As the heart of the economic circle around Bohai,Tianjin is also faced w:ith problems such as lack of energy resources,huge industrial energy consumption and environmental pollution.The research on energy efficiency related problems industrial industry can provide reference for energy reduction.It is an important task to realize the resource saving and environment-friendly society in Tianjin,and to solve the sustainable development in other cities.The problem is of reference value.In the existing studies,the measurement of energy efficiency in Tianjin's industrial sector did not consider the undesirable indicators.The traditional DEA method was also used more frequently,and the factors involved were less.These influence the accuracy and comprehensiveness of the analysis results.Therefore,under the framework of all energy factors,this paper uses the unexpected SBM model of the separable variables to calculate the energy efficiency of the industrial industry from the overall industry and the point of view of the industry.Secondly,the influence factors of the energy efficiency of the industrial industry are analyzed by the mixed regression model and the fixed effect model.This paper first analyzes the current situation of industrial energy consumption in Tianjin from three perspectives:the overall energy consumption of Tianjin,the energy consumption of industrial sectors and the single factor energy efficiency of Tianjin,and draws a preliminary conclusion that the energy supply and demand is severe and the industry is representative.Then,considering the superiority of the SBM model compared with the traditional DEA model,this paper established a separable non expected measure of SBM 2000?2016 in Tianjin city found in Tianjin City,industrial energy efficiency,industrial energy efficiency is increasing year by year,especially in the annual growth rate of 2012-2016 significantly,which is verified to deepen the reform of industrial enterprises,to production,to the inventory the effectiveness of the policy.On this basis,the mixed regression model is used to analyze the influencing factors of industrial energy efficiency,and the positive influence of factors such as industrialization degree and the negative influence of industrial concentration are obtained.Then,in order to improve the energy efficiency of various industries in Tianjin,we consider the difference between the expected output and the undesired output,and use the undesired SBM model to measure the energy efficiency of the industrial industries of Tianjin after the 2012 reform.The results show that the 2012?2016 energy efficiency of each industry increased year by year,established on the basis of fixed effect model,analysis of different factors on affecting the industry energy efficiency,industry scale and other factors to promote energy efficiency,reduce the level of contributions of state the conclusion of energy efficiency.Finally,according to the results of research on energy efficiency and its influencing factors,in combination with the current situation of energy consumption,and puts forward suggestions such as enhancing the industrial structure adjustment of energy consumption structure,the reasonable technological innovation,to enhance the energy efficiency of Tianjin city to promote energy-saving emission reduction work has reference significance.