Open AccessA Regression Analysis on the Effects of Factors on Plastic Waste Production
Author(s) -
Jun Yang,
Lingchang Zhang,
Wang Wei-tao,
Zheyong Qiu
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/603/1/012013
Subject(s) - plastic waste , production (economics) , regression analysis , environmental science , product (mathematics) , waste management , mathematics , engineering , statistics , economics , macroeconomics , geometry
Plastic is a multi-purpose material produced in large quantities. However, the non-degradability of plastic waste also brings many negative effects. In order to solve the problem of plastic production waste, we first analyze which factors have a greater impact on the production of plastic waste, and for this reason, a multiple linear regression has been established. We quantify abstract influencing factors. After that, the data is put into Statistical Product and Service Solutions (SPSS) for processing, and the influence of different factors on plastic waste is calculated. We find that the production of plastics has the greatest impact on the increase of plastic waste, while mainland policies have the greatest impact on the reduction of plastic waste. Finally, we have a sensitivity analysis on this model to analyze the impact of various factors on the output of plastic waste.