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Academic Journal of Business & Management, 2020, 2(3); doi: 10.25236/AJBM.2020.020302.

Grey Correlation Analysis and Forecast of Residents' Income and Consumption Structure

Author(s)

Haifei Xiang

Corresponding Author:
Haifei Xiang
Affiliation(s)

Department of public education , Wenzhou Polytechnic , Wenzhou ,325000, China
xhf_1980@163.com

Abstract

At present, China's economy is facing the problem of declining investment and export growth. To ensure the sound development of China's economy, it is necessary to maintain the effective pull of consumption on economic development. Correctly evaluating the basic situation and changing trend of Chinese residents' consumption structure is helpful to provide theoretical basis for relevant macro-economic policies to improve consumption structure, thus comprehensively improving the consumption level and quality of life of Chinese urban residents. This paper selects 8 indicators related to the consumption structure of rural residents, and based on statistical data, uses grey correlation analysis method to quantitatively analyze the relationship between the consumption structure and income level of rural residents from 2020 to 2023. On this basis, the grey prediction method is applied to establish a prediction model of residents' income level and various consumption expenditures, to predict the income level and various consumption expenditures, and to analyze the future change trend of the relationship between leisure consumption and income level under the background of changes in consumption structure.

Keywords

Income of residents, Consumption structure, Grey correlation, Forecast

Cite This Paper

Haifei Xiang. Grey Correlation Analysis and Forecast of Residents' Income and Consumption Structure. Academic Journal of Business & Management (2020) Vol. 2, Issue 3: 6-14. https://doi.org/10.25236/AJBM.2020.020302.

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