Vol. 1 No. 3 (2024)

View Vol. 1 No. 3 (2024)

All content published in this issue has undergone peer review and strict repetition rate checks have been conducted.

Number of articles in this issue: 6
Number of pages in this issue: 42

If you have any questions about the content of this issue, you can contact each author via email. For questions about the journal itself, you can directly contact SUAS Press.

Published: 2024-06-15

Articles

  • A Study of the Historical Development of China's First-Rich Strategy: Historical Exploration Based on the Perspective of China's Reform and Opening-up Social Context
    Authors: Zhiguo Wang
    Resource Type: Article
    Publication ID: v1n3a01
    Abstract: Since China's reform and opening up in the 1980s, nearly three decades of economic development have given Chinese society a strong economic force. The use of the strategy of the "first rich" is a key factor in the strengthening of...
    1-9
    DOI Icon Abstract views: 99 | DOI Icon PDF downloads: 28 | DOI Icon references: 7
    DOI Icon DOI: 10.5281/zenodo.10998847
    PURL: suas/JETBM.v1n3a01
    DOI Icon ARK: ark:/40704/JETBM.v1n3a01
  • Research on Export Evaluation System of Guangdong Lixun Precision Industry
    Authors: Mingyu Tang
    Resource Type: Article
    Publication ID: v1n3a02
    Abstract: Consumer electronics industry is not only the core field for China to move from a manufacturing power to a manufacturing power, but also has become a new growth driving force of China's foreign trade and export industry. In recent years,...
    10-18
    DOI Icon Abstract views: 116 | DOI Icon PDF downloads: 36 | DOI Icon references: 16
    DOI Icon DOI: 10.5281/zenodo.11239392
    PURL: suas/JETBM.v1n3a02
    DOI Icon ARK: ark:/40704/JETBM.v1n3a02
  • v1n3a03
    The Long-Term Impact on Local Government Finance from the Perspective of Shrinking Cities-Taking Huaibei City as an Example
    Authors: Gongchao Wan, Xiaohan Niu
    Resource Type: Article
    Publication ID: v1n3a03
    Abstract: With the advancement of global urbanization, many cities are facing the challenges of population decline and economic decline, especially coal cities with a resource-based economy. Huaibei City, as a typical coal city in China, has gradually...
    19-23
    DOI Icon Abstract views: 151 | DOI Icon PDF downloads: 33 | DOI Icon references: 9
    DOI Icon DOI: 10.5281/zenodo.11475012
    PURL: suas/JETBM.v1n3a03
    DOI Icon ARK: ark:/40704/JETBM.v1n3a03
  • Bank Credit Risk Early Warning Model Based on Machine Learning Decision Trees
    Authors: Lingfeng Guo, Zihan Li, Kun Qian, Weike Ding, Zhou Chen
    Resource Type: Article
    Publication ID: v1n3a04
    Abstract: The study explores the application of the C5.0 decision tree algorithm to improve bank credit risk management. By transforming risk identification from subjective judgment to objective analysis, risk measurement from qualitative to quantitative,...
    24-30
    DOI Icon Abstract views: 414 | DOI Icon PDF downloads: 163 | DOI Icon references: 26
    DOI Icon DOI: 10.5281/zenodo.11627011
    PURL: suas/JETBM.v1n3a04
    DOI Icon ARK: ark:/40704/JETBM.v1n3a04
  • Anomaly Detection Method for High-Frequency Financial Market Volatility Data Based on LLM
    Authors: Vikramaditya Singh Rathore, Kritika Sharma, Siddharth Verma
    Resource Type: Article
    Publication ID: v1n3a05
    Abstract: This article introduces the importance and challenges of detecting anomalies in high-frequency volatility data in financial markets. Traditional methods such as SV and GARCH models have been unable to cope with the rapidly changing and increasing...
    31-36
    DOI Icon Abstract views: 173 | DOI Icon PDF downloads: 59 | DOI Icon references: 37
    DOI Icon DOI: 10.5281/zenodo.11636947
    PURL: suas/JETBM.v1n3a05
    DOI Icon ARK: ark:/40704/JETBM.v1n3a05
  • Deep Learning Applications in Personal Credit Risk Assessment: Insights from Big Data in Banking
    Authors: Neha Gupta, Kritika Sharma, Siddharth Verma
    Resource Type: Article
    Publication ID: v1n3a06
    Abstract: This study explores integrating big data and advanced deep learning techniques for enhancing personal credit risk assessment in commercial banks. Traditional methods must be improved in high-dimensional, sparse, and noisy big data environments....
    37-42
    DOI Icon Abstract views: 176 | DOI Icon PDF downloads: 48 | DOI Icon references: 32
    DOI Icon DOI: 10.5281/zenodo.11637270
    PURL: suas/JETBM.v1n3a06
    DOI Icon ARK: ark:/40704/JETBM.v1n3a06