Research On Total Factor Energy Efficiency Of Three Northeast Provinces Based On SBM Model

As an important old industrial base in China,the three northeastern provinces have long been dominated by high-energy heavy industries,and economic development relies excessively on energy consumption.This extensive economic development model has made the old industrial bases in Northeast China face pressure of economic development and energy resources exhaustion.Improving energy efficiency is of great significance to reducing energy consumption,optimizing industrial structure,and changing economic development patterns in the three northeastern provinces.Therefore,this paper takes the energy efficiency of the three northeastern provinces as the entry point,and conducts a comprehensive and systematic analysis of the energy efficiency of 35 cities in the three northeastern provinces,providing effective reference information and opinion guidance for clarifying the current situation of energy use efficiency in the three northeastern provinces and improving the energy efficiency of the three northeastern provinces.This paper first introduces the status of energy production and consumption at the regional and urban levels in the three northeastern provinces.Using the Slacks-based Measure(SBM)models,the total factor energy efficiency of 35 cities in 2009-2017 was calculated and analyzed,which did not consider the unexpected output and the unexpected output.The results show that the overall level of energy efficiency in the three northeastern provinces is not high,regardless of whether or not the undesired output is considered,and there is still much room for improvement.When considering undesired output,the average energy efficiency of Heilongjiang,Jilin,and Liaoning is 0.684,0.632,and 0.591 respectively;the average energy efficiency of Shenyang,Songyuan,Daqing,and Suihua is 1.000,and energy input has reached a relatively optimal state,the potential for improvement it's not exist;the energy efficiency averages of the seven cities of Qitaihe,Benxi,Panjin,Huludao,Jilin,Hegang and Shuangyashan are all below 0.400.The energy input of these seven cities has great potential for improvement.Secondly,according to the indicators reflecting the characteristics of energy consumption,the K-Means algorithm is used to divide 35 cities into 2 groups,The common frontier method and the common frontier Malmquist index are used to study the regional differences and energy sources of energy efficiency when considering undesired outputs.Dynamic changes in efficiency.The results show that the technical drop ratios of the high-level group and the lowlevel group are 0.975 and 0.653,respectively.The production techniques of the two groups are significantly different,and the technical level of the low-level group still has much room for improvement.The average annual growth rate of high-level energy efficiency is 18.5%.The main reason for the improvement of energy efficiency is the improvement of technical efficiency brought by the reduction of unit gap within the group and the technological progress brought by the movement of the group frontier.The average annual growth rate of energy efficiency in the low-level group is 11.6%.The main reason for the improvement of energy efficiency is the improvement of technical efficiency caused by the reduction of the unit gap within the group and the decrease of the gap between the group frontier and the global frontier.Finally,the panel data model is used to analyze the factors affecting the energy efficiency of the two groups considering the undesired output.The results show that the regression coefficients of per capita GDP,industrial structure and energy efficiency of high-level cities are 0.63 and 0.17 respectively.The regression coefficients of per capita GDP,proportion of tertiary production,degree of openness,degree of government intervention and energy efficiency of low-level cities are 1.11,0.75,0.53,-0.70 respectively.