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Keywords

rural residents' income, principal component analysis, grey relational analysis, multiple regression model, economic growth

Abstract

In order to fully understand the determinants of per capita income of rural residents,it is crucial to propose income-increasing measures for a region's economic development.This paper selects 16 indicators related to the income of rural residents,uses the relevant index data of Zhejiang Province from 2001 to 2017,uses principal component analysis,grey correlation analysis,and constructs multiple regression models to comprehensively analyze the determinants of per capita income of rural residents.It is concluded that the decisive factors of rural residents' income mainly focus on the level of rural economic development,the level of factor input,and the level of development environment.The most relevant degree is the level of economic development.

DOI

10.16315/j.stm.2020.01.002

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