Study On The Influencing Factors Of China's Industrial Production Efficiency Based On Super Efficiency DEA Model

In the era of rapid development,Chinese industry has made great contributions to the rapid growth of the Chinese economy.Especially under the increasing pressure of population,resources and environment,the establishment of a developed industry has become the fundamental technical condition and material basis for resource conservation,environmental improvement and quality of life improvement.The extensive economic growth mode of China in the past 30 years can no longer meet the needs of social development.The 13 th Five-Year Plan pointed out that the future industrial development will enter an intensive development path,which puts forward higher requirements on the quality of industrial development.The efficiency of industrial production can largely reflect the quality of industrial development,which has always been the focus of attention of all sectors of society.Based on the existing research literature on industrial production efficiency,this paper takes the panel data of industrial production from 2007 to 2017 in 30 provinces and municipalities in China(except Tibet,Hong Kong,Macao and Taiwan)as the research object,and uses the super-efficient SBM in the DEA model.The model is used to measure the value of inter-provincial industrial production efficiency in China,and the PVAR model is used to analyze the influencing factors of inter-provincial industrial production efficiency.The specific methods are as follows: 1.The CO2 emissions from industrial production in various provinces and municipalities are measured;2.The inter-provincial traditional industrial production efficiency without undesired output and the industrial production efficiency with CO2 emissions of undesired output Carried out calculations and made comparisons;3.Performed a stationarity test on the influencing factors of industrial production efficiency,selected the lag order of the model,estimated the parameters using the GMM method,and carried out the calculation based on the PVAR(2)model.Jay causality test and impulse response analysis and variance decomposition.In order to explore the influencing factors of industrial production efficiency.The research in this paper shows that the industrial production efficiency in Fujian,Jiangxi,Shandong,Hubei,Guangdong,Shaanxi,and Ningxia is greater than 1,accounting for 23.3%,indicating that the industrial production efficiency considering undesired output is relatively low,and most regions consider The industrialproduction efficiency of undesired output has not reached a relatively good production level.There are only 2 regions where the industrial production efficiency without considering the undesired output is less than 1,indicating that the proportion of the industrial production efficiency without considering the undesired output has reached a relatively good production level is 93.33%,and China's industrial production is still in high consumption High-emission type,ignoring undesired output is difficult to reflect the real industrial production efficiency in various regions of China,so choose to establish a PVAR model of industrial production efficiency considering undesired output,and make impulse response function analysis and variance decomposition,from impulse response function analysis The results show that: 1.Industrial production efficiency has a certain lag effect and presents a positive impact;2.Economic growth,industrial agglomeration,technological innovation,foreign trade openness,and residents' consumption level have a certain role in promoting industrial production efficiency;3.The energy structure has an inhibitory effect on industrial production efficiency.The results of variance decomposition show that: my country's industrial production efficiency is most affected by itself within a certain period of time,and the contribution rate of other influencing factors is constantly rising.Based on the above research conclusions,this article provides reference and reference for which aspects of my country's industry should focus on development in order to improve industrial production efficiency.