Evaluation of Plastic Waste based on Logistic Model

Zixuan Pan1, Xueqi Wang2, Chenyang Sun2, Yong Xu3*

1School of Finance, Anhui University of Finance and Economics, Bengbu, 233000, China

2School of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu, 233000, China 

3School of Management Science & Engineering, Anhui University of Finance and Economics, Bengbu, 233000, China

Abstract: Since the 20th century, plastic has become an indispensable material, but its non-decomposable plastic properties have also caused terrible damage to the earth. Taking China as an example, the clustering algorithm is first used to classify the amount of plastic used, followed by the establishment of a model for evaluating the amount of waste plastics, introducing constraints to establish a logistic model, and finally combining policy intervention to reclassify and optimize the model. The study concluded that without further environmental damage, the maximum amount of plastic waste will reach 22,107.35 million tons by 2050; after national policy intervention, it will reach 11,960.78 million tons, a reduction of 10,146.57 million tons. Finally, relevant suggestions are put forward to achieve the overall goal of plastic reduction.

Keywords: Plastic waste; Cluster analysis; Index model; Logistic model; SPSS; MATLAB