Research On Environmental Credit Early-warning Evaluation Model Of Nonferrous Metallurgical Enterprises

This paper originates from the humanities and social sciences research projects from Department of Education in Jiangxi Province which named “Research on Environmental Credit Early-warning Evaluation Model of Non-ferrous Metallurgical Enterprises”.(Item number: GL1547).This paper takes those Non-ferrous Metallurgical enterprises as study project.On the basis of the detailed analysis on the factors that influence the Environmental Credit of Non-ferrous Metallurgical enterprises,this paper constructed an environmental credit early-warning evaluation model by combining the method of theory study and case study,quantitative analysis and qualitative analysis.The main contents are as follows.Firstly,this paper detailedly introduced and summarized the study on enterprise environmental credit system.Then,this paper analyzed the environmental pollution of nonferrous metallurgy enterprises in China.The result shows that the emissions of waste gas,waste-water and solid waste of the nonferrous metallurgical enterprises are large,especially the waste water that contains heavy metals,such as Mercury,Cadmium,Lead and Arsenic.What's more,this paper analyzed other influential factors of environmental credit of nonferrous metallurgical enterprises.Thirdly,this paper constructed an early-warning model based on the influential factors and basic principles.Then,the model was improved by several invited specialists and the evaluation field of the early-warning model was confirmed.Fourthly,this paper introduced the unascertained measuring model,giving an early warning evaluation on the environmental credit system of a nonferrous company.The warning level is low.The early warning index system built in this paper has good application value.It provides a good idea for environmental credit early-warning of nonferrous metallurgical enterprises in China,and provides a theoretical reference for the environmental credit management of the industry.