Study on Influencing Factors of Population Changes in Dongguan City Based on Principal Component-Regression Analysis

Zhitao Cui, Shanle Wan, Yong Fang

2022

Abstract

In this paper, 9 economic and social development indicators are selected from the Statistical Yearbook 2019 of Dongguan. All indicator variables have a significant linear correlation with the permanent population variable. The similarity of variables is distinguished with the hierarchical clustering method. Variable groups are divided into 2 categories and then subjected to dimensionality reduction based on principal component analysis. Two principal components are extracted. Finally, two regression equations are set up according to the results of variable group clustering and principal component analysis, which have good test indicators.

Paper Citation

in Harvard Style

Cui Z., Wan S. and Fang Y. (2022). Study on Influencing Factors of Population Changes in Dongguan City Based on Principal Component-Regression Analysis. In Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI; ISBN 978-989-758-620-0, SciTePress, pages 191-196. DOI: 10.5220/0011732800003607

in Bibtex Style

@conference{icpdi22,
author={Zhitao Cui and Shanle Wan and Yong Fang},
title={Study on Influencing Factors of Population Changes in Dongguan City Based on Principal Component-Regression Analysis},
booktitle={Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI},
year={2022},
pages={191-196},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011732800003607},
isbn={978-989-758-620-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI
TI - Study on Influencing Factors of Population Changes in Dongguan City Based on Principal Component-Regression Analysis
SN - 978-989-758-620-0
AU - Cui Z.
AU - Wan S.
AU - Fang Y.
PY - 2022
SP - 191
EP - 196
DO - 10.5220/0011732800003607
PB - SciTePress