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    ICEMME

    Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17–19, 2023, Beijing, China

    The 2023 5th International Conference on Economic Management and Model Engineering (ICEMME 2023) was held on November 17-19, 2023 in Beijing, China. The primary objective of this conference is to facilitate the exchange of ideas and knowledge among researchers, scholars, and practitioners in the f…

    The 2023 5th International Conference on Economic Management and Model Engineering (ICEMME 2023) was held on November 17-19, 2023 in Beijing, China. The primary objective of this conference is to facilitate the exchange of ideas and knowledge among researchers, scholars, and practitioners in the field of economic management and modeling engineering. Through presentations, discussions, and networking opportunities, participants will have the chance to explore the latest advancements, methodologies, and best practices in these areas.

    The conference was focused on three main themes: Enterprise Economic Management and Market Mechanism Assessment; Data Statistical Analysis and Economic Forecasting; Industrial Structure Optimization and Economic Green Development. For readers, this collection of papers offers a comprehensive insight into cutting-edge research and case studies, providing valuable information on current trends, challenges, and opportunities in economic management and modeling engineering. Readers will benefit from the diverse perspectives and innovative approaches presented in these papers, inspiring new ideas and solutions for their own research endeavors.

    Moreover, the positive influence of this conference extends beyond the current discussions. It is expected that the findings and recommendations shared in these proceedings will serve as a foundation for future research in the field of economic management and modeling engineering. By fostering collaboration, knowledge sharing, and academic discourse, this conference aims to contribute to the advancement of the field and stimulate further research initiatives in the years to come.

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    Editor(s): Nikolaos Freris (University of Science and Technology of China), Harsh Kumar (Himalayan Garhwal University, India) and Huaping Sun (Jiangsu University, China)
    Publisher
    EAI
    ISBN
    978-1-63190-456-1
    ISSN
    2593-7642
    Series
    CORE
    Conference dates
    17th–19th Nov 2023
    Location
    Beijing, People's Republic of China
    Appeared in EUDL
    2024-02-27

    Copyright © 2024–2025 EAI

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    Showing 41–50 of 90 results
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    • House Price Prediction Based on Machine Learning --Taking Beijing House Price Data as an Example

      Research Article in Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17–19, 2023, Beijing, China

      Yuhong Xu
    • Research on the Impact of Investor Sentiment on Beta Anomalies in China's A Stock Market

      Research Article in Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17–19, 2023, Beijing, China

      Rui Zhang, Qiong Liu, Qihan Zhang, Jia Chen
    • The Empirical Research on Time-series Efficiency in Technology Industry, based on CAPM, Fama-French Three-Factor model, and Fama-French Five-Factor Model

      Research Article in Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17–19, 2023, Beijing, China

      Ruihan Gao
    • Research on Service Quality Risk Evaluation Method

      Research Article in Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17–19, 2023, Beijing, China

      Huali Cai, Ruixue Jiang, Licheng Xu, Dong Zhang, Xinxin Zheng, Liying Wang, Pengpeng Zhou
    • The Moderating Role of Supply Chain Relationships in Digital Transformation and Innovation Performance-Multiple Linear Regression Analysis

      Research Article in Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17–19, 2023, Beijing, China

      Xiaohong Li, Tiantian Wang
    • Prediction of GDP in the BRICS Countries Based on the Proportions of Industry and Agriculture

      Research Article in Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17–19, 2023, Beijing, China

      Ziqi Guo, Yonghao Li
    • Digital Economy and the Urban-Rural Income Gap: Theoretical Mechanism and Empirical Study

      Research Article in Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17–19, 2023, Beijing, China

      Yuyang Li
    • Research on Sales Forecasting of New Energy Passenger Vehicles in Beijing-Tianjin-Hebei City Cluster based on Grey Prediction GM(1,1) Model

      Research Article in Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17–19, 2023, Beijing, China

      Ying Li
    • Investment Forecast for Power Grid Technical Renovation Projects Based on Angle of Inclination Correlation and Improved Gray Model

      Research Article in Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17–19, 2023, Beijing, China

      Yue Zhang, Yang Xiao, Lilan Deng, Wenyu Yan
    • Empirical Analysis of Private Investment Efficiency in Xi'an Based on Data Envelopment Analysis Method

      Research Article in Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17–19, 2023, Beijing, China

      Min Sun
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