Research on the Influencing Factors of GDP in Guangdong Province Under the Integration of Multiple Methods

Wei Fang

2025

Abstract

Taking the imbalance of regional economic development in Guangdong Province as the breakthrough point, this study constructs a three-stage method framework of "global dimension reduction regional classification dynamic correlation" by integrating principal component analysis (PCA), K-means cluster analysis and gray correlation analysis, and systematically analyzes the impact mechanism of Guangdong's GDP and the causes of regional differences. The study found that scientific and technological innovation (correlation degree 0.89) and industrial clusters (correlation degree 0.85) are the core factors driving economic growth. Among them, R&D funds and high-tech output value contribute significantly to the Pearl River Delta region. Non Pearl River Delta regions are subject to the dual constraints of transportation infrastructure lag (correlation degree 0.68) and human capital outflow (correlation degree 0.65), resulting in a "innovation infrastructure" dual track imbalance with the Pearl River Delta Cluster analysis reveals that the Pearl River Delta is characterized by innovation driven and industrial agglomeration, while western and northern Guangdong are limited by institutional environment and infrastructure weaknesses. The innovation of this study is to break through the limitations of the traditional single perspective through the integration of multiple methods, and provide a new paradigm for regional economic research that takes into account both integrity and differentiation. The research results provide an empirical basis for Guangdong Province to solve the imbalance of regional development and promote high-quality development, and provide a reference for the design of coordinated development strategies of other provinces.

Paper Citation

in Harvard Style

Fang W. (2025). Research on the Influencing Factors of GDP in Guangdong Province Under the Integration of Multiple Methods. In Proceedings of the 2nd International Conference on Innovations in Applied Mathematics, Physics, and Astronomy - Volume 1: IAMPA; ISBN 978-989-758-774-0, SciTePress, pages 70-76. DOI: 10.5220/0013814200004708

in Bibtex Style

@conference{iampa25,
author={Wei Fang},
title={Research on the Influencing Factors of GDP in Guangdong Province Under the Integration of Multiple Methods},
booktitle={Proceedings of the 2nd International Conference on Innovations in Applied Mathematics, Physics, and Astronomy - Volume 1: IAMPA},
year={2025},
pages={70-76},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013814200004708},
isbn={978-989-758-774-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Innovations in Applied Mathematics, Physics, and Astronomy - Volume 1: IAMPA
TI - Research on the Influencing Factors of GDP in Guangdong Province Under the Integration of Multiple Methods
SN - 978-989-758-774-0
AU - Fang W.
PY - 2025
SP - 70
EP - 76
DO - 10.5220/0013814200004708
PB - SciTePress