Application Research of "Minimum living standard" Based on Multiple Linear Regression

Select Volume / Issue:

• Volume 7,Issue 2, March 2019

Year:

2019

Type of Publication:

Article

Keywords:

Factor Analysis, Stepwise Regression Model, Multivariate Function Model, Minimum Living Standard

Authors:

Ning Wang; Dong-Ping Xuan; Hui Xu

Journal:

IJISM

Volume:

7

Number:

2

Pages:

78-82

Month:

March

ISSN:

2347-9051

Abstract:

Subsistence allowance is divided into urban subsistence allowance and rural subsistence allowance. The urban subsistence allowance is based on the system of basic living security and unemployment insurance for laid-off workers of state-owned enterprises in the city. Therefore, the system of implementing minimum living security is established. The rural minimum living security is the life guarantee system of the rural residents of the Chinese government for the annual per capita net income of the family is lower than the local minimum living security standard. Taking Liaoning Province as an example, this paper analyzes the correlation between the low-protection line and related variables by SPSS, finds the main indicators that affect the minimum living standard, and establishes a multiple linear regression model.The finalization of the establishment of rural minimum living standards is a question of establishing a multivariate model. Quantify the minimum living standard in the case of determining the impact indicator.The aim is to establish a more complete "low standard of protection".

Full text: IJISM_825_FINAL.pdf [Bibtex]