Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Hangzhou, China

Research Article

Analysis of the Factors Affecting Economic Growth by Energy Consumption and Energy Structure in Sichuan Province—Based on Grey Relation Analysis of Mathematical Model

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  • @INPROCEEDINGS{10.4108/eai.19-5-2023.2334217,
        author={Xuehang  Liu and Hua  Zhang},
        title={Analysis of the Factors Affecting Economic Growth by Energy Consumption and Energy Structure in Sichuan Province---Based on Grey Relation Analysis of Mathematical Model},
        proceedings={Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19--21, 2023, Hangzhou, China},
        publisher={EAI},
        proceedings_a={ICBBEM},
        year={2023},
        month={7},
        keywords={energy consumption,mathematical model,spsspro,grey relation analysis},
        doi={10.4108/eai.19-5-2023.2334217}
    }
    
  • Xuehang Liu
    Hua Zhang
    Year: 2023
    Analysis of the Factors Affecting Economic Growth by Energy Consumption and Energy Structure in Sichuan Province—Based on Grey Relation Analysis of Mathematical Model
    ICBBEM
    EAI
    DOI: 10.4108/eai.19-5-2023.2334217
Xuehang Liu1, Hua Zhang1,*
  • 1: Sichuan University
*Contact email: olive1689@126.com

Abstract

This paper uses the grey correlation analysis method commonly used in mathematical modeling to dynamically analyze the relationship between GDP and energy consumption and energy structure in Sichuan. Influenced by such factors as the global climate edge and the energy crisis, the dialectical relationship between energy consumption, energy structure and economic growth is facing new adjustments. There is a general trend for all regions to change their economic development concepts. This paper collects the relevant data of Sichuan, China, and calculate the gray correlation between economic development and energy consumption. Among all kinds of energy consumption in Sichuan, the correlation degree of one-time electricity is 0.794, ranking first. The consumption structure of the four energy products has been continuously optimized by the economic development of Sichuan, which is consistent with the factor endowment rich in water resources and natural gas resources in Sichuan. Among the energy consumption industries in Sichuan, the correlation degree of energy consumption in the construction industry is the largest 0.763, ranking first. So, the development of the construction industry is the key factor affecting the economic growth in Sichuan.