Evaluation And Prediction Of Green Innovation Efficiency In Manufacturing Enterprises Based On SBM-BPNN Combined Model

Since the reform and opening up,China has quickly become a base for manufacturing in the world.Relying on the rapid development of manufacturing,China has established a clear advantage on the international stage.However,due to the increasingly tense global natural resources and the deteriorating international situation,the extensive development model based on "high investment,high consumption and high emissions" is bound to be detrimental to long-term development.The development of the manufacturing industry to green manufacturing is the only way to achieve sustainable development,and it is urgent to accelerate the green development of the manufacturing industry.In a society that requires sustainable development,enterprises as microeconomic entities can survive and develop sustainably only by adhering to green innovation.However,the current research on green innovation of microenterprises is rarely involved.How to construct a green innovation efficiency evaluation index system for micro-enterprises? How to analyze the green innovation rate more objectively and quantitatively? How to reduce the possible risks of green innovation investment in enterprises.? and so on lack of systematic research.This article selects the relevant data of listed manufacturing enterprises from 2013 to 2019 in china,and constructs a green innovation efficiency evaluation index system for manufacturing enterprises,also uses the super-efficiency SBM-BPNN combination model to evaluate and predictive the manufacturing enterprises green innovation efficiency.In the evaluation of the green innovation efficiency,the super-efficiency SBM model is used to calculate the green innovation efficiency value of manufacturing enterprises,and the reason for the loss of green innovation efficiency is found through redundant analysis of green innovation input;In the prediction of green innovation efficiency,the green innovation input index data is used as the expected input,and the green innovation efficiency value obtained in the super-efficiency SBM model is used as the expected output,the manufacturing enterprise green innovation efficiency prediction model is constructed,through training the prediction model to verify the actual feasibility and accuracy of the prediction model,and according to the green innovation input,predicts its green innovation efficiency and puts forward corresponding green innovation input structure optimization suggestions in combination with efficiency evaluation and predictive analysis results.The research results show that: the green innovation efficiency of Chinese manufacturing enterprises is showing a slow growth trend,but the overall level is low,and there is a certain room for improvement.There are varying degrees of redundancy in the green innovation input elements of manufacturing enterprises.From the perspective of the average redundancy rate of input elements,the order of green innovation redundancy rate of manufacturing enterprises from large to small is:environmental protection investment,R&D capital investment,personnel investment and energy investment.From the training and simulation test results of the superefficiency SBM-BPNN combination model,the prediction effect of the network model is good,the error is small,and the mean square error MSE is 4.07E-04.The network model has high accuracy and can realize the prediction of green innovation efficiency of manufacturing enterprises.In addition,through the exemplified analysis of Jiangling Motors Corporation,the specific application of the super-efficient SBM-BPNN combination model to the evaluation and prediction of the green innovation efficiency of manufacturing enterprises has been realized.The results show that during the inspection period,the overall green innovation efficiency of Jiangling Motors Corporation was low,and there is a large waste of resources in R & D capital investment and environmental protection investment.Combined with the actual situation of Jiangling Motors Corporation,this paper makes some suggestions on optimizing the input structure of green innovation and improving the efficiency of green innovation of Jiangling Motors Corporation in terms of R&D capital investment and environmental protection investment.Finally,based on the research conclusion,from the perspective of enterprise management,this paper makes the corresponding specific suggestions in terms of optimizing the green innovation input structure of manufacturing enterprises.