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

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  • Shouheng Tuo

    (School of Computer Science and Technology, Xi’an University of Posts and Telecommunications, Xi’an 710121, China)

  • Hong He

    (College of Economics and Management, Xi’an University of Posts and Telecommunications, Xi’an 710121, China)

Abstract

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.

Suggested Citation

  • Shouheng Tuo & Hong He, 2021. "A Study of Multiregional Economic Correlation Analysis Based on Big Data—Taking the Regional Economy of Cities in Shaanxi Province, China, as an Example," Sustainability, MDPI, vol. 13(9), pages 1-13, May.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:9:p:5121-:d:548320
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    References listed on IDEAS

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    1. Antonakakis, N. & Badinger, H., 2016. "Economic growth, volatility, and cross-country spillovers: New evidence for the G7 countries," Economic Modelling, Elsevier, vol. 52(PB), pages 352-365.
    2. Huan Zhou & Shaojian Qu & Xiaoguang Yang & Qinglu Yuan, 2020. "Regional Credit, Technological Innovation, and Economic Growth in China: A Spatial Panel Analysis," Discrete Dynamics in Nature and Society, Hindawi, vol. 2020, pages 1-14, November.
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    Cited by:

    1. Shouheng Tuo & Tianrui Chen & Hong He & Zengyu Feng & Yanling Zhu & Fan Liu & Chao Li, 2021. "A Regional Industrial Economic Forecasting Model Based on a Deep Convolutional Neural Network and Big Data," Sustainability, MDPI, vol. 13(22), pages 1-11, November.

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