Analysis of the Influence Factors of China's per-capita Food Expenditure

DOI

10.2991/hsmet-19.2019.20How to use a DOI?

Keywords

Influence Factors; regression model; Food expenditure

Abstract

This paper analyzes the relationship between food expenditure, income and grain price, which is the basic demand of daily food. With the help of SAS 9.2. Statistical software, we constructed the regression model based on analyzing 31 provinces sample via the descriptive analysis, regression model selection and variable selection. To determine the validity of the regression model, the variance homogeneity test, the collinearity test, the autocorrelation test and the analysis of the validity of the samples are also carried out. Finally, the reliability of the regression model is determined. The analysis results show that the per - capita food expenditure in China is affected by the grain price, and the influence of per - capita income on food expenditure is relatively weak.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ruili Shi
AU  - Yun Liu
PY  - 2019/07
DA  - 2019/07
TI  - Analysis of the Influence Factors of China's per-capita Food Expenditure
BT  - Proceedings of the 4th International Conference on Humanities Science, Management and Education Technology (HSMET 2019)
PB  - Atlantis Press
SP  - 104
EP  - 107
SN  - 2352-5398
UR  - https://doi.org/10.2991/hsmet-19.2019.20
DO  - 10.2991/hsmet-19.2019.20
ID  - Shi2019/07
ER  -