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Proceedings of the 2nd International Conference on Public Management, Digital Economy and Internet Technology, ICPDI 2023, September 1–3, 2023, Chongqing, China

Research Article

What is the Gap Between China's and Finland's Level of Sustainable Development? --Based on DPSIR-TOPSIS Modeling

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  • @INPROCEEDINGS{10.4108/eai.1-9-2023.2338765,
        author={Mingwei  Zhou},
        title={What is the Gap Between China's and Finland's Level of Sustainable Development? --Based on DPSIR-TOPSIS Modeling},
        proceedings={Proceedings of the 2nd International Conference on Public Management, Digital Economy and Internet Technology, ICPDI 2023, September 1--3, 2023, Chongqing, China},
        publisher={EAI},
        proceedings_a={ICPDI},
        year={2023},
        month={11},
        keywords={dpsir model ewm-topsis kernel density estimation terre index tobit regression model},
        doi={10.4108/eai.1-9-2023.2338765}
    }
    
  • Mingwei Zhou
    Year: 2023
    What is the Gap Between China's and Finland's Level of Sustainable Development? --Based on DPSIR-TOPSIS Modeling
    ICPDI
    EAI
    DOI: 10.4108/eai.1-9-2023.2338765
Mingwei Zhou1,*
  • 1: Beijing Forestry University
*Contact email: zmw18681868@163.com

Abstract

This paper measures and comparatively analyzes the sustainable development levels of China's Beijing-Tianjin-Hebei urban agglomeration and Finland in 2013-2021 using DPSIR and the TOPSIS evaluation model (EWM-Topsis) modified based on the entropy weight method, and summarizes the gaps between China and Finland in each indicator level. The kernel density estimation method was used to analyze the dynamic evolution of the sustainable development levels of the Beijing-Tianjin-Hebei city cluster and Finland in ten years, and the Terrell index was used to analyze the differences in sustainable development between regions, and finally, the Tobit regression model was chosen to conduct an empirical study on the factors affecting sustainable development and put forward targeted countermeasures and suggestions.

Keywords
dpsir model ewm-topsis kernel density estimation terre index tobit regression model
Published
2023-11-21
Publisher
EAI
http://dx.doi.org/10.4108/eai.1-9-2023.2338765
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