Research On The Efficiency Evaluation Of Industrial Solid Waste Reuse System

In order to effectively overcome the harm caused by solid waste to human social life,countries around the world have introduced a large number of bills to promote the recycling of solid waste.The effective management of industrial solid waste is an important part of human beings to develop a circular economy.However,with the rapid development of China's economy,the production of industrial solid waste has increased,and the utilization rate of industrial solid waste has been at a low level for a long time.How to better promote the recycling of industrial solid waste and improve the efficiency of industrial solid waste utilization has become very important.Therefore,it is one of the key paths to solve environmental problems and develop circular economy that how to measure the efficiency of industrial solid waste reuse system.However,the existing research mainly uses the stochastic frontier analysis method and the data envelopment analysis method to evaluate the efficiency of the industrial solid waste reuse system.The research process simply applies the existing model for data analysis,and does not consider the main differences between the industrial solid waste reuse system and the general system,so that the research results cannot reflect the real efficiency of the industrial solid waste reuse system.Therefore,it is an urgent problem that constructing efficiency evaluation models that conform to the characteristics of the industrial solid waste reuse system.In order to effectively solve the current problems,according to the main characteristics of industrial solid waste disposal and reuse process,this paper fully analysis the production process,production goal of industrial solid waste reuse system and interrelationship between production system and industrial solid waste reuse system.Because the data envelopment analysis method does not need to determine the mathematical function relationship between inputs and outputs in advance,and it is suitable for solving multiple inputs and multiple outputs problem.Then,based on processing logic of the data envelopment analysis model,this paper studies the models that suitable for evaluating the efficiency of industrial solid waste reuse system from multiple perspectives.The main contents and relevant conclusions of the full text are as follows:1.Construct an efficiency evaluation model of industrial solid waste reuse system based on the direction of maximizing returns to scale.the paper clarify the treatment characteristics of the more input of industrial solid waste from the perspective of recycling by analyzing the substitution function and conversion function of industrial solid waste,and point out the characteristics that the industrial solid waste and the desired outputs increase non-proportionally in the same direction.Based on the above relationship,the paper establishs a new and improved model in the direction of maximizing return of scale from industrial solid waste conversion to desired output,which can simultaneously increase the target total amount of industrial solid waste input and the target total amount of desired output.Then the paper establishs the efficiency evaluation index by using the proportional relationship between all inputs and outputs target values and current values in the system.Finally,an example is used to prove the rationality?applicability and advantage of the improved model.Finally,the rationality and applicability of the improved model are proved by example analysis.2.Construct a cross efficiency evaluation model of industrial solid waste reuse system.By analyzing the input and output characteristics of solid waste reuse system,the paper divides the system inputs into desired inputs and undesired inputs,and divides the desired outputs into important desired outputs and unimportant desired outputs.Assuming that the input of industrial solid waste remains unchanged,and considering the optimal resource allocation between different inputs in the system and the preference of decision makers for different desired outputs,the paper establishs the efficiency evaluation models of maximizing important outputs,minimizing undesired inputs and maximizing important outputs respectively.In order to make the efficiency evaluation of all ineffective decision-making units based on the same comparison benchmark,the paper takes the improvement direction of ineffective decision-making units determined by the above two self-evaluation models as the cross direction vector,and aggregates the measured cross efficiency from the perspective of average and weighting.Then the cross efficiency evaluation models in the direction of maximizing important output,cross efficiency evaluation model in the direction of minimizing undesired input and maximizing important output are established respectively.The weight selection under weighted aggregation fully considers the target total amount difference of important outputs of all ineffective decision-making units under different direction vectors,so that the final score value of cross efficiency is more in line with the preference of decision-makers.In order to prove the superiority of the proposed models,an empirical analysis was carried out with the industrial solid waste reuse system of 24 provinces and cities in China in 2017 as an example.The research results show that:(1)The efficiency of general industrial solid waste recuse systems in 24 provinces and cities in China in 2017 is generally high under the two models,and 15 provinces and cities are in an effective state.(2)The mean efficiency of inefficient provinces and cities under the model of minimizing undesired inputs and maximizing important outputs is 0.366,which is28% lower than the mean value of 0.509 under the model of maximizing important outputs.(3)The efficiency ranking of ineffective provinces and cities under the mean cross efficiency of the two models is consistent with the weighted cross-efficiency.The order of ineffective provinces and cities under the important outputs maximization model is Guangxi > Fujian > Guizhou > Jilin > Liaoning >Sichuan > Inner Mongolia > Yunnan > Hubei.The order of ineffective provinces and cities under the model of minimizing undesired inputs and maximizing important outputs is Guangxi>Fujian>Liaoning>Inner Mongolia>Hubei>Yunnan>Jilin>Guizhou>Sichuan.3.Construct an efficiency evaluation model of industrial solid waste reuse system under different production environment adaptation strategies.this paper divides the production process into two scenarios,namely,the passive adaptation strategy of decision-makers who actively reduce inputs and the active adaptation strategy of decision-makers who adopt innovative technology to reduce inputs from the natural disposability and managerial disposability of undesired output.Assuming that two stages are in the situation of variable returns to scale,and based on the master-slave non-cooperative relationship,the paper constructs two solid waste reuse system efficiency evaluation models under different environmental adaptation production strategies.Based on the characteristics of slack variables,the relevant evaluation indexes to measure the reduction,recycling and harmlessness of industrial solid waste are established.considering the target differences of industrial solid waste treatment,based on the characteristics of slack variables,the models ensure that the improved value of industrial solid waste utilization of ineffective systems exceeds the improved value of industrial solid waste disposal,so as to meet the preference of decision makers for different desired outputs.Finally,taking the industrial production process of 24 provinces and cities in China in 2017 as an example,the efficiency difference of solid waste reuse systems under two different environmental adaptation production strategies is studied.The research results show that:(1)In 2017,the efficiency values of the industrial solid waste reuse systems under the two production environment adaptation strategies were high,and 58.3% of the provinces and cities achieved the optimal efficiency.(2)Under the two production environment adaptation strategies,there are 8 provinces and cities where the industrial production and industrial solid waste reuse process achieve the optimal efficiency at the same time,and 5 of them are located in eastern China.(3)In 2017,the technological gap of 24 provinces and cities in China in passively adapting to environmental regulation production strategies was relatively small,while the technological gap in adopting efficient energy conservation and emission reduction was relatively large,and some provinces and cities lacked technological innovation in energy conservation and emission reduction.(4)In 2017,the promotion of energy conservation and emission reduction technologies in 24 provinces and cities in China mainly focused on the reduction of industrial wastewater and industrial waste gas,and insufficient attention was paid to the reduction of general industrial solid waste.The reduction of industrial solid waste mainly depends on the reduction in industrial production inputs.(5)There are more provinces and cities with optimal industrial solid waste reduction,reuse and disposal efficiency under the active adaptation to the environment production strategy than those under the passive adaptation to the environment production strategy.The reasons for the ineffectiveness of industrial solid waste treatment in different provinces and cities under the two scenarios are different,mainly including ineffective industrial solid waste reduction,ineffective industrial solid waste reuse and industrial solid waste disposal at the same time,and mixed ineffectiveness.The main innovations are as follows:Firstly,assuming that the more industrial solid waste input,the better,according to the consistent and disproportionate growth direction of industrial solid waste input and desired outputs,the paper chooses the direction of maximizing the return to scale of converting industrial solid waste into the desired output as the optimal improvement direction of the ineffective decision-making unit.It can overcome the defect of the traditional DEA model,namely,most literatures follow the principle of the less input.Therefore,it results in the reduction of the total amount of solid waste input which in contradiction with the reuse and recycling principle of circular economy.Secondly,by setting a specific direction vector,the data envelopment analysis model is used to realize the cross evaluation of ineffective decision making units.the paper chooses the cross direction vector and the weights for efficiency aggregation from the perpective of the preferences of decision makers.The paper studies two decision makers preference situations that the decision makers expect the system to maximize the important outputs and expect the system to maximize the important outputs with the smallest undesired inputs.It can overcome the defect of the traditional DEA model,namely,the traditional cross efficiency evaluation model does not consider the optimal resource allocation between different inputs in the solid waste reuse system and the preference of decision makers for different desired outputs.Thirdly,based on the perspective of master-slave non cooperation and the goal difference of solid waste treatment,this paper studies the efficiency difference of industrial solid waste reuse system under different environmental adaptation strategies adopted by producers to reduce environmental pollution.It can overcome the defect of the traditional DEA model,namely,based on the strong and weak disposal characteristics of undesired outputs,the traditional DEA method can not identify the efficiency difference of production system under different environmental adaptation strategies adopted by producers to reduce environmental pollution,as well as the efficiency change of industrial solid waste reuse system.