农产品新零售业态下绿色包装材料对降低大气污染的影响分析研究
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摘要
利用传统影响分析方法对农产品新零售业态下绿色包装材料与降低大气污染之间关系进行分析,分析准确性较差。提出一种基于多元回归分析的影响分析方法。该分析方法主要分为四步骤:第一对绿色包装材料与降低大气污染之间关系进行描述;第二选取与二者关系有关的变量;第三对变量数据进行处理,包括缺失值插补和数据标准化;第四建立多元回归方程,并将变量带入到方程中,进行显著性检验,重构多元回归方程,完成影响分析。结果表明:与传统影响分析方法相比,基于多元回归分析的影响分析方法准确性提高9. 9%,达到了研究的目的。
The traditional impact analysis method was used to analyze the relationship between green packaging materials and air pollution reduction under the new agricultural retail format,and the accuracy of the analysis was poor. In view of the above problems,a method of influence analysis based on multiple regression analysis is proposed. The analysis method can be divided into five steps: first,to describe the relationship between green packaging materials and air pollution reduction; second,to select variables related to the relationship between them; third,to process variable data,including missing interpolation and data standardization; fourth,to establish a multiple regression equation and bring variables into the equation. Then,a significant test was conducted to reconstruct the multiple regression equation and complete the impact analysis. The results show that the accuracy of the impact analysis method based on multiple regression analysis is improved by 9. 9% compared with the traditional impact analysis method,which achieves the purpose of the study.
The traditional impact analysis method was used to analyze the relationship between green packaging materials and air pollution reduction under the new agricultural retail format,and the accuracy of the analysis was poor. In view of the above problems,a method of influence analysis based on multiple regression analysis is proposed. The analysis method can be divided into five steps: first,to describe the relationship between green packaging materials and air pollution reduction; second,to select variables related to the relationship between them; third,to process variable data,including missing interpolation and data standardization; fourth,to establish a multiple regression equation and bring variables into the equation. Then,a significant test was conducted to reconstruct the multiple regression equation and complete the impact analysis. The results show that the accuracy of the impact analysis method based on multiple regression analysis is improved by 9. 9% compared with the traditional impact analysis method,which achieves the purpose of the study.
引文
[1]长春日报.农产品加工业年产值超过2 000亿元,成为第二大支柱产业——长春向世界级农产品加工基地迈进[J].吉林农业,2017(14):10-10.
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[2]薛美贵,王双飞,林春烨.包装纸表面有机污染物向食品迁移性能分析[J].包装工程,2016(1):19-24.
[3]刘林,王凯丽,谭海湖,等.中国绿色包装材料研究与应用现状[J].包装工程,2016(5):24-30.
[4]张鸿,刘修征.电子商务对农村经济的影响——基于多元回归模型及聚类分析[J].江苏农业科学,2017,45(17):305-309.
[5]张晓琴,王敏.基于主成分分析的成分数据缺失值插补法[J].应用概率统计,2016,32(1):101-110.
[6]顾爱华.云计算网络中高维数据标准化处理优化仿真[J].计算机仿真,2017,34(3):317-320.
[7]陈正江,蒲西安.多元线性回归分析与逐步回归分析的比较研究[J].牡丹江教育学院学报,2016(5):131-133.
[8]肖正,祁孟阳,朱家明.基于多元线性回归模型的合肥市空气质量实证研究[J].兰州文理学院学报(自然科学版),2017,31(4):13-19.