A Study of Multiregional Economic Correlation Analysis Based on Big Data-Taking the Regional Economy of Cities in Shaanxi Province, China, as an Example

被引：5

作者：

Tuo, Shouheng ^{[1
]}

He, Hong ^{[2
]}

机构：

[1] Xian Univ Posts & Telecommun, Sch Comp Sci & Technol, Xian 710121, Peoples R China

[2] Xian Univ Posts & Telecommun, Coll Econ & Management, Xian 710121, Peoples R China

来源：

SUSTAINABILITY | 2021年 / 13卷 / 09期

关键词：

big data; multiregions; regional economy; association analysis;

D O I：

10.3390/su13095121

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

To enhance the sustainability of the regional economy, this study attempts to integrate historical big data of multiregional and multi-industry economic indicators, aiming to explore and discover the correlations among regions, industries, or cross-regional economic indicators. In this paper, two correlation analysis models (the 2-order correlation model and the elastic-net regularized generalized linear model) are used to conduct a correlation analysis study of multiregional and multi-industry economies, and 20 years of historical data from 9 prefecture-level cities in Shaanxi (778 indicators in total) are analyzed empirically. The results show that the proposed method can mine complex correlations from economic big data.

引用

页数：13

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